diff --git a/.gitignore b/.gitignore
index 22da39c5eb3a13e6224f436c108261ed958a1039..505a3b1ca2716907d5b292ab90c36df043c42bb6 100644
--- a/.gitignore
+++ b/.gitignore
@@ -8,5 +8,3 @@ wheels/
 
 # Virtual environments
 .venv
-
-*.png
\ No newline at end of file
diff --git a/README.md b/README.md
index 7e410b6417e8c74c107bd68ed92b3d02fd109bc8..8bb6c43849bbdd3e2185b4247ae7da132fe75856 100644
--- a/README.md
+++ b/README.md
@@ -8,7 +8,7 @@ app_file: main.py
 pinned: true
 license: apache-2.0
 short_description: 'TabArena'
-sdk_version: 5.49.1
+sdk_version: 5.33.2
 ---
 
 # TabArena Leaderboard Code
@@ -18,20 +18,11 @@ The leaderboard is hosted on a HuggingFace space.
 
 Reference:
 * Website: https://tabarena.ai
-* Paper: https://tabarena.ai/paper-tabular-ml-iid-study
+* Paper: TBA
 * TabArena Codebase: https://tabarena.ai/code
 
 # Install LB Code for Development
 
 ```bash
 pip install -e ".[dev]"
-# Or 
-uv pip install -r pyproject.toml && uv pip install pdf2image
-```
-
-# Current Steps to get results:
-1. Run https://github.com/autogluon/tabarena/blob/main/examples/plots/run_generate_website_artifacts.py
-2. Run https://github.com/autogluon/tabarena/blob/main/scripts/run_generate_zip_for_website.py
-   * ake sure to update the relevant metadata for the LB in the `format_leaderboard` function and code!
-3. Unzip the generated zip file into the `data` folder in this repo and run `data_pdfs_to_pngs.py`
-4. Test the LB locally, otherwise you are done :)
\ No newline at end of file
+```
\ No newline at end of file
diff --git a/data/full-imputed-cls/figures/critical-diagram.png.zip b/data/full-imputed-cls/figures/critical-diagram.png.zip
new file mode 100644
index 0000000000000000000000000000000000000000..225e7be9f02bd041f5d193a6783101d11a43bb29
--- /dev/null
+++ b/data/full-imputed-cls/figures/critical-diagram.png.zip
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5835744841004196426f3151baa0e22bdc7d9495f41f99bd11af42e8acef0c76
+size 338031
diff --git a/data/full-imputed-cls/leaderboard.tex b/data/full-imputed-cls/leaderboard.tex
new file mode 100644
index 0000000000000000000000000000000000000000..90411b3cf94c16464f10cb8bb8708de90a81c358
--- /dev/null
+++ b/data/full-imputed-cls/leaderboard.tex
@@ -0,0 +1,53 @@
+\begin{tabular}{llcccccrr}
+\toprule
+\textbf{Model} & \textbf{Elo ($\uparrow$)} & \textbf{Norm.} & \textbf{Avg.} & \textbf{Harm.} & \textbf{\#wins ($\uparrow$)} & \textbf{Improva-} & \textbf{Train time} & \textbf{Predict time} \\
+ &  & \textbf{score ($\uparrow$)} & \textbf{rank ($\downarrow$)} & \textbf{mean} &  & \textbf{bility ($\downarrow$)} & \textbf{per 1K [s]} & \textbf{per 1K [s]} \\
+ &  &  &  & \textbf{rank ($\downarrow$)} &  &  &  &  \\
+\midrule
+TabM (T+E) & \textcolor{gold}{\textbf{1574${}_{-28,+28}$}} & \textcolor{bronze}{\textbf{0.505}} & \textcolor{gold}{\textbf{9.6}} & 4.5 & 3 & \textcolor{bronze}{\textbf{8.2\%}} & 2466.21 & 1.50 \\
+AutoGluon 1.3 (4h) & \textcolor{silver}{\textbf{1573${}_{-34,+30}$}} & \textcolor{gold}{\textbf{0.577}} & \textcolor{silver}{\textbf{9.7}} & \textcolor{silver}{\textbf{3.3}} & \textcolor{silver}{\textbf{6}} & \textcolor{gold}{\textbf{6.9\%}} & 1322.72 & 2.36 \\
+RealMLP (T+E) & \textcolor{bronze}{\textbf{1552${}_{-30,+32}$}} & 0.470 & \textcolor{bronze}{\textbf{10.5}} & 7.4 & 0 & \textcolor{bronze}{\textbf{8.2\%}} & 6519.69 & 10.84 \\
+LightGBM (T+E) & 1537${}_{-30,+26}$ & 0.421 & 11.1 & 6.4 & 1 & 9.8\% & 382.05 & 1.49 \\
+TabICL (D) & 1530${}_{-31,+23}$ & \textcolor{silver}{\textbf{0.512}} & 11.4 & \textcolor{bronze}{\textbf{3.5}} & \textcolor{silver}{\textbf{6}} & \textcolor{silver}{\textbf{7.9\%}} & 8.68 & 1.74 \\
+TabM (T) & 1487${}_{-30,+29}$ & 0.420 & 13.2 & 6.4 & 1 & 9.3\% & 2466.21 & 0.18 \\
+CatBoost (T+E) & 1479${}_{-26,+24}$ & 0.395 & 13.6 & 8.7 & 0 & 9.1\% & 1372.94 & 0.56 \\
+CatBoost (T) & 1469${}_{-27,+25}$ & 0.379 & 13.9 & 7.0 & 1 & 9.3\% & 1372.94 & 0.07 \\
+LightGBM (T) & 1463${}_{-29,+30}$ & 0.336 & 14.3 & 12.1 & 0 & 10.6\% & 382.05 & 0.25 \\
+CatBoost (D) & 1454${}_{-28,+23}$ & 0.362 & 14.7 & 7.1 & 1 & 10.3\% & 5.72 & 0.08 \\
+TabPFNv2 (T+E) & 1454${}_{-31,+25}$ & 0.497 & 14.7 & \textcolor{gold}{\textbf{3.1}} & \textcolor{gold}{\textbf{8}} & 9.7\% & 3008.22 & 20.85 \\
+XGBoost (T+E) & 1452${}_{-28,+31}$ & 0.332 & 14.8 & 9.3 & 0 & 10.7\% & 685.87 & 1.45 \\
+ModernNCA (T) & 1416${}_{-34,+24}$ & 0.289 & 16.5 & 9.7 & 1 & 10.5\% & 4879.89 & 0.52 \\
+XGBoost (T) & 1412${}_{-26,+28}$ & 0.279 & 16.6 & 13.3 & 0 & 11.1\% & 685.87 & 0.21 \\
+ModernNCA (T+E) & 1410${}_{-28,+27}$ & 0.382 & 16.7 & 7.5 & 0 & 10.4\% & 4879.89 & 8.74 \\
+TabPFNv2 (T) & 1388${}_{-30,+33}$ & 0.385 & 17.8 & 5.2 & 1 & 12.1\% & 3008.22 & 0.51 \\
+TabM (D) & 1375${}_{-26,+30}$ & 0.280 & 18.3 & 11.8 & 0 & 12.6\% & 10.21 & 0.14 \\
+TabPFNv2 (D) & 1366${}_{-31,+25}$ & 0.354 & 18.8 & 4.8 & 4 & 13.0\% & 3.37 & 0.32 \\
+TorchMLP (T+E) & 1364${}_{-28,+29}$ & 0.233 & 19.1 & 14.8 & 0 & 11.6\% & 2389.22 & 2.16 \\
+RealMLP (T) & 1357${}_{-27,+29}$ & 0.188 & 19.4 & 16.7 & 0 & 12.0\% & 6519.69 & 0.53 \\
+EBM (T+E) & 1356${}_{-28,+26}$ & 0.188 & 19.3 & 13.5 & 0 & 14.9\% & 914.23 & 0.22 \\
+FastaiMLP (T+E) & 1323${}_{-29,+23}$ & 0.203 & 21.0 & 12.4 & 0 & 14.6\% & 618.90 & 4.77 \\
+ModernNCA (D) & 1306${}_{-28,+26}$ & 0.140 & 21.8 & 12.3 & 1 & 14.7\% & 14.78 & 0.35 \\
+EBM (T) & 1295${}_{-30,+26}$ & 0.130 & 22.4 & 17.9 & 0 & 15.6\% & 914.23 & 0.03 \\
+EBM (D) & 1265${}_{-36,+29}$ & 0.143 & 23.9 & 11.4 & 1 & 16.6\% & 4.31 & 0.05 \\
+RealMLP (D) & 1253${}_{-27,+23}$ & 0.088 & 24.5 & 21.0 & 0 & 14.6\% & 21.83 & 0.90 \\
+XGBoost (D) & 1253${}_{-31,+29}$ & 0.116 & 24.5 & 19.3 & 0 & 14.1\% & 1.77 & 0.12 \\
+ExtraTrees (T+E) & 1252${}_{-29,+24}$ & 0.110 & 24.6 & 16.8 & 0 & 15.8\% & 189.76 & 0.74 \\
+TabDPT (D) & 1239${}_{-35,+28}$ & 0.180 & 25.1 & 8.1 & 2 & 15.5\% & 22.61 & 8.55 \\
+TorchMLP (T) & 1237${}_{-26,+26}$ & 0.106 & 25.1 & 21.7 & 0 & 14.1\% & 2389.22 & 0.15 \\
+FastaiMLP (T) & 1220${}_{-29,+28}$ & 0.093 & 26.1 & 20.7 & 0 & 16.6\% & 618.90 & 0.30 \\
+RandomForest (T+E) & 1214${}_{-24,+25}$ & 0.105 & 26.3 & 14.4 & 0 & 16.6\% & 323.74 & 0.74 \\
+LightGBM (D) & 1198${}_{-28,+29}$ & 0.087 & 27.0 & 23.6 & 0 & 15.4\% & 1.79 & 0.12 \\
+ExtraTrees (T) & 1196${}_{-33,+24}$ & 0.080 & 27.1 & 17.2 & 0 & 17.2\% & 189.76 & 0.08 \\
+RandomForest (T) & 1159${}_{-33,+33}$ & 0.078 & 28.8 & 16.5 & 0 & 17.8\% & 323.74 & 0.08 \\
+TorchMLP (D) & 1082${}_{-30,+22}$ & 0.023 & 32.0 & 29.3 & 0 & 19.3\% & 6.83 & 0.15 \\
+FastaiMLP (D) & 1053${}_{-31,+29}$ & 0.031 & 33.1 & 29.9 & 0 & 22.1\% & 2.91 & 0.37 \\
+RandomForest (D) & 1000${}_{-0,+0}$ & 0.013 & 34.8 & 32.9 & 0 & 24.1\% & 0.38 & 0.04 \\
+Linear (T+E) & 998${}_{-37,+26}$ & 0.042 & 34.9 & 25.5 & 0 & 29.2\% & 51.79 & 0.22 \\
+Linear (T) & 962${}_{-28,+24}$ & 0.027 & 36.1 & 30.6 & 0 & 30.1\% & 51.79 & 0.08 \\
+Linear (D) & 951${}_{-30,+28}$ & 0.019 & 36.3 & 27.8 & 0 & 31.1\% & 1.61 & 0.10 \\
+ExtraTrees (D) & 915${}_{-31,+32}$ & 0.010 & 37.3 & 34.3 & 0 & 26.7\% & 0.25 & 0.04 \\
+KNN (T+E) & 688${}_{-46,+39}$ & 0.000 & 41.7 & 41.4 & 0 & 48.5\% & 2.97 & 0.19 \\
+KNN (T) & 605${}_{-45,+48}$ & 0.000 & 42.7 & 42.5 & 0 & 50.3\% & 2.97 & 0.04 \\
+KNN (D) & 462${}_{-71,+70}$ & 0.000 & 43.9 & 43.7 & 0 & 58.7\% & 0.07 & 0.02 \\
+\bottomrule
+\end{tabular}
\ No newline at end of file
diff --git a/data/full-imputed-cls/tabarena_leaderboard.csv b/data/full-imputed-cls/tabarena_leaderboard.csv
new file mode 100644
index 0000000000000000000000000000000000000000..d99ebea59bc9b77b19d4b7396b0c09f6c8613706
--- /dev/null
+++ b/data/full-imputed-cls/tabarena_leaderboard.csv
@@ -0,0 +1,46 @@
+method,time_train_s,time_infer_s,time_train_s_per_1K,time_infer_s_per_1K,normalized-error,normalized-error-task,imputed,champ_delta,loss_rescaled,time_train_s_rescaled,time_infer_s_rescaled,rank,median_metric_error,median_time_train_s,median_time_infer_s,median_time_train_s_per_1K,median_time_infer_s_per_1K,median_normalized-error,median_normalized-error-task,median_imputed,median_champ_delta,median_loss_rescaled,median_time_train_s_rescaled,median_time_infer_s_rescaled,median_rank,rank=1_count,rank=2_count,rank=3_count,rank>3_count,elo,elo+,elo-,winrate,mrr
+TABM_GPU (tuned + ensemble),34341.376551290836,9.60910518720136,4223.58680397795,3.4317121842487635,0.4949870968434646,0.5299923578456494,0.0,0.08239957044412496,0.05800528924519605,45864.929770826835,134.55326674312073,9.644736842105264,0.17047,8245.070318195554,2.6588550435172187,2466.2108648716858,1.5022465694891438,0.4807674997729695,0.5356016471758118,0.0,0.0374695276183053,0.02990990162448854,39661.48674821285,121.43882105497326,9.0,3,2,2,31,1574.1,27.7,27.1,0.8035287081339713,0.22390813053432343
+AutoGluon 1.3 (4h),7918.9967654708535,21.9962719316371,2834.6060407147975,3.0873029091200266,0.4234797507066772,0.42851773721350084,0.0,0.06891082208685434,0.03901042356832644,31011.170971980166,263.893057970457,9.710526315789474,0.159155,7086.632828738954,3.4718479580349393,1322.7174946761893,2.35500290690449,0.33567162503552783,0.4181224156574922,0.0,0.03226297629046343,0.018303111934730745,23372.022224152715,142.27612475951975,6.0,6,3,1,28,1573.4,30.0,33.4,0.8020334928229665,0.3009017525052929
+REALMLP (tuned + ensemble),88520.97457650169,55.83305884453288,9129.519936677754,18.43403910125304,0.5303101151258073,0.5509587531175434,0.0,0.08216963958005759,0.04917872511787768,141789.21603781544,866.2933837817693,10.460526315789474,0.16568,30350.410282479395,23.161008212301468,6519.687377737515,10.838853332215592,0.4880190327087218,0.5530787180349611,0.0,0.046844798741680516,0.023927651830585747,114204.24024987879,769.6999972028425,9.25,0,1,1,36,1552.0,31.2,29.1,0.784988038277512,0.1359044319221565
+GBM (tuned + ensemble),2957.8209862183407,11.98416593290909,759.1477152793035,2.5417865978850473,0.579228860288798,0.5992528140715053,0.0,0.09787395108553403,0.0587719228886129,8568.794143617388,184.93302208876983,11.131578947368421,0.16698000000000002,1552.8742877377404,3.4757837878333198,382.05361557599804,1.4876036641335277,0.6139242992830947,0.6320945623165324,0.0,0.050681941850522993,0.0219954442643497,7514.342598912193,103.35126359750211,10.0,1,1,2,34,1536.6,25.3,29.4,0.7697368421052632,0.15602996440606
+TABICL_GPU (default),107.96023476381747,19.280086713506464,9.625347263659664,2.230965763361112,0.4883393558984766,0.5463468792496827,0.05263157894736842,0.0794222885606876,0.05664734932761992,168.76491644336255,230.09998232516136,11.394736842105264,0.17207,25.732762111557854,3.449363695250617,8.684246340890724,1.7433667301105085,0.49313937962268345,0.5681798960380293,0.0,0.03858333399786745,0.018532235328146802,137.81489160855577,127.65482709424812,10.0,6,4,1,27,1529.5,22.7,30.1,0.763755980861244,0.2848797584062183
+TABM_GPU (tuned),34341.376551290836,1.0683778852050068,4223.58680397795,0.37888409513825755,0.580460857439686,0.5850736457317778,0.0,0.0927595492056652,0.07202518163358282,45864.929770826835,13.890136033418576,13.223684210526315,0.172585,8245.070318195554,0.2723346948623657,2466.2108648716858,0.17557376557934842,0.5594681994427791,0.6408535524589001,0.0,0.04800849593484757,0.03209545871697756,39661.48674821285,10.546435553124088,14.0,1,3,2,32,1487.1,28.6,29.5,0.722188995215311,0.15718600055013962
+CAT (tuned + ensemble),16504.07579820414,2.581779239609925,3201.0265707590415,0.8915752484646539,0.6052324431308997,0.6079016429921736,0.0,0.09115569260254941,0.05171280995480023,27193.868813721343,44.08651163500922,13.552631578947368,0.16040500000000002,5046.900271190538,1.2630292971928916,1372.9411122807264,0.5562989902961428,0.6047135908900858,0.6538224316024461,0.0,0.05787378892595674,0.023358345198772973,20541.46486167592,37.76547447057217,13.0,0,1,3,34,1479.0,23.4,25.1,0.7147129186602871,0.11519163508706867
+CAT (tuned),16504.07579820414,0.42638187025025576,3201.0265707590415,0.12024042770987867,0.6205816792872123,0.6195401164987226,0.0,0.09330164070819684,0.05138375883564522,27193.868813721343,6.229177098348047,13.881578947368421,0.161705,5046.900271190538,0.12877851062350804,1372.9411122807264,0.07385371803542701,0.6259023413364113,0.6684527369967126,0.0,0.05645008601114826,0.027822328565894415,20541.46486167592,4.9725379405984995,14.0,1,2,1,34,1469.3,24.3,26.2,0.7072368421052632,0.14306281114130998
+GBM (tuned),2957.8209862183407,1.875632255676894,759.1477152793035,0.5049369881097493,0.664414327281209,0.6568405029860219,0.0,0.10551185264608158,0.06848969063218771,8568.794143617388,32.37091249654915,14.302631578947368,0.16877999999999999,1552.8742877377404,0.5045170254177518,382.05361557599804,0.2538713244201605,0.7037360500796572,0.6730961643801268,0.0,0.05207128139882822,0.031112468640158004,7514.342598912193,15.175591971121808,12.5,0,0,0,38,1463.4,29.5,28.3,0.6976674641148325,0.08286433502159408
+TABPFNV2_GPU (tuned + ensemble),10002.759252123178,101.4355180454533,2653.4255131981217,44.749282859570734,0.5025912169508552,0.5552745352373752,0.3157894736842105,0.09695040281680861,0.08124534064551475,49565.00539849654,3444.4876051657507,14.671052631578947,0.17261500000000002,2077.023049354553,12.760541562239329,3008.2157047151595,20.848616639963154,0.508383993403513,0.5777919166792829,0.0,0.04061436251124223,0.031106953519191773,28624.579287895787,825.5109643363919,8.5,8,3,2,25,1453.8,24.8,30.9,0.6892942583732058,0.3228293379761294
+CAT (default),220.2627424415789,0.2710267032099049,109.9732905896213,0.13662992734425208,0.6377213723455996,0.653981819624179,0.0,0.10281875743582664,0.05525161599592243,404.9759898295662,6.476751807794606,14.68421052631579,0.16373,18.264583627382912,0.17750852637820774,5.723546572951673,0.0761539571798428,0.6679727149434583,0.668034897235229,0.0,0.05481736123368691,0.025874497523709752,103.69107151573829,5.120402547941957,16.0,1,3,1,33,1454.1,22.2,27.3,0.6889952153110048,0.14085028107005457
+XGB (tuned + ensemble),5957.374200563333,6.456417350253166,1167.526219278486,2.7907218103162132,0.6678696607918362,0.667447365405449,0.0,0.1067022658124541,0.0693895201734448,10832.944520166355,137.58836217438702,14.763157894736842,0.165745,1680.0658507664998,2.2809726662105985,685.86510540535,1.4547593315263065,0.7199373388598738,0.7259505715046674,0.0,0.0603611320440825,0.027448205694685396,8251.297786111467,74.47019952683146,13.0,0,1,1,36,1452.0,30.3,27.2,0.687200956937799,0.1077066830171761
+MNCA_GPU (tuned),57356.284085895306,20.170870465214488,5990.817791505437,2.0485901061394993,0.7110105277591534,0.6595940582554153,0.0,0.1050159299928894,0.0724200510289198,80456.91211763977,129.4389431731015,16.526315789473685,0.17054999999999998,14186.536935488384,0.6020842525694106,4879.890404506269,0.5247194359730172,0.7789380151687756,0.6741481297678236,0.0,0.06755655006003625,0.04344719805270737,66956.02864547497,27.735396922747526,16.5,1,0,0,37,1415.9,23.5,33.3,0.6471291866028708,0.10295238153020833
+XGB (tuned),5957.374200563333,1.301870340352867,1167.526219278486,0.6678561539347552,0.7214356698637235,0.7066756243519319,0.0,0.11080653156459744,0.07384263953337422,10832.944520166355,28.47499330573137,16.63157894736842,0.16848000000000002,1680.0658507664998,0.3827125522825453,685.86510540535,0.2050912539994952,0.7533869940641466,0.7531012522750911,0.0,0.0694652487234973,0.03410738014755424,8251.297786111467,11.461364611937853,15.5,0,0,0,38,1412.1,27.2,25.8,0.6447368421052632,0.07527320270823155
+MNCA_GPU (tuned + ensemble),57356.284085895306,531.7593351699455,5990.817791505437,50.07821547982156,0.6178778787330054,0.6105886884096879,0.0,0.10389701155615068,0.07981152020070442,80456.91211763977,3301.6213661597712,16.68421052631579,0.183035,14186.536935488384,14.17156207561493,4879.890404506269,8.743516387788919,0.6004419642795275,0.5800963441226324,0.0,0.06497462948315735,0.039747452446492706,66956.02864547497,548.1975258046007,12.5,0,2,4,32,1410.4,26.7,27.6,0.6435406698564593,0.13300821802463408
+TABPFNV2_GPU (tuned),10002.759252123178,3.410806728176206,2653.4255131981217,1.555769686886014,0.6152128339751168,0.6368249005546318,0.3157894736842105,0.12130685228554555,0.0956967324044558,49565.00539849654,114.00749994252256,17.842105263157894,0.1868,2077.023049354553,0.5060818235079447,3008.2157047151595,0.5144277113236544,0.6861393226426085,0.651413564581804,0.0,0.08561151707807774,0.042273687584978896,28624.579287895787,25.570859321617846,13.0,1,8,1,28,1387.8,32.2,29.9,0.6172248803827751,0.19384505458173865
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+XT (default),2.7359117016457675,0.18087529669031066,0.7550887156747417,0.07422230753863952,0.9896376739572407,0.9751584322493536,0.0,0.26658722117284267,0.26095559827613696,5.173741811459425,4.243951698357253,37.26315789473684,0.21292,1.01790091726515,0.09051434199015299,0.24605929188859293,0.04072451222400395,1.0,1.0,0.0,0.18424442460299273,0.13780186094528035,4.456264068369281,3.7424721126192138,39.0,0,0,0,38,914.9,32.0,30.5,0.17583732057416268,0.0291505121116296
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diff --git a/data/full-imputed-cls/time_plot.png.zip b/data/full-imputed-cls/time_plot.png.zip
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+version https://git-lfs.github.com/spec/v1
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diff --git a/data/full-imputed-cls/tuning-impact-elo-horizontal.png.zip b/data/full-imputed-cls/tuning-impact-elo-horizontal.png.zip
new file mode 100644
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+++ b/data/full-imputed-cls/tuning-impact-elo-horizontal.png.zip
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diff --git a/data/full-imputed-cls/tuning-impact-elo.png.zip b/data/full-imputed-cls/tuning-impact-elo.png.zip
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diff --git a/data/full-imputed-reg/figures/critical-diagram.png.zip b/data/full-imputed-reg/figures/critical-diagram.png.zip
new file mode 100644
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+version https://git-lfs.github.com/spec/v1
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diff --git a/data/full-imputed-reg/leaderboard.tex b/data/full-imputed-reg/leaderboard.tex
new file mode 100644
index 0000000000000000000000000000000000000000..e3ec5c2e19c4ca9744aac165cefd554d7935a10e
--- /dev/null
+++ b/data/full-imputed-reg/leaderboard.tex
@@ -0,0 +1,52 @@
+\begin{tabular}{llcccccrr}
+\toprule
+\textbf{Model} & \textbf{Elo ($\uparrow$)} & \textbf{Norm.} & \textbf{Avg.} & \textbf{Harm.} & \textbf{\#wins ($\uparrow$)} & \textbf{Improva-} & \textbf{Train time} & \textbf{Predict time} \\
+ &  & \textbf{score ($\uparrow$)} & \textbf{rank ($\downarrow$)} & \textbf{mean} &  & \textbf{bility ($\downarrow$)} & \textbf{per 1K [s]} & \textbf{per 1K [s]} \\
+ &  &  &  & \textbf{rank ($\downarrow$)} &  &  &  &  \\
+\midrule
+AutoGluon 1.3 (4h) & \textcolor{gold}{\textbf{1795${}_{-55,+67}$}} & \textcolor{gold}{\textbf{0.740}} & \textcolor{gold}{\textbf{4.6}} & \textcolor{silver}{\textbf{2.5}} & 2 & \textcolor{silver}{\textbf{2.7\%}} & 1625.74 & 6.76 \\
+RealMLP (T+E) & \textcolor{silver}{\textbf{1766${}_{-64,+61}$}} & \textcolor{silver}{\textbf{0.732}} & \textcolor{silver}{\textbf{5.3}} & 3.4 & 0 & \textcolor{gold}{\textbf{2.0\%}} & 7141.94 & 9.66 \\
+ModernNCA (T+E) & \textcolor{bronze}{\textbf{1632${}_{-52,+51}$}} & 0.625 & \textcolor{bronze}{\textbf{8.3}} & \textcolor{bronze}{\textbf{2.8}} & \textcolor{silver}{\textbf{3}} & 3.8\% & 3779.52 & 7.69 \\
+TabDPT (D) & 1620${}_{-62,+53}$ & \textcolor{bronze}{\textbf{0.651}} & 8.8 & \textcolor{gold}{\textbf{2.3}} & \textcolor{gold}{\textbf{5}} & \textcolor{bronze}{\textbf{2.9\%}} & 22.53 & 8.55 \\
+CatBoost (T+E) & 1616${}_{-51,+59}$ & 0.547 & 8.9 & 7.2 & 0 & 4.5\% & 3552.96 & 0.97 \\
+LightGBM (T+E) & 1609${}_{-53,+58}$ & 0.542 & 9.2 & 7.1 & 0 & 5.0\% & 700.15 & 9.32 \\
+CatBoost (T) & 1568${}_{-46,+64}$ & 0.524 & 10.3 & 6.9 & 0 & 4.6\% & 3552.96 & 0.10 \\
+TabM (T+E) & 1562${}_{-64,+54}$ & 0.494 & 10.5 & 6.5 & 0 & 3.3\% & 4158.29 & 1.41 \\
+XGBoost (T+E) & 1496${}_{-51,+43}$ & 0.447 & 12.8 & 12.3 & 0 & 5.5\% & 834.93 & 2.61 \\
+LightGBM (T) & 1490${}_{-50,+55}$ & 0.445 & 12.9 & 10.8 & 0 & 5.6\% & 700.15 & 0.97 \\
+XGBoost (T) & 1474${}_{-46,+46}$ & 0.414 & 13.7 & 13.1 & 0 & 5.6\% & 834.93 & 0.39 \\
+ModernNCA (T) & 1446${}_{-49,+52}$ & 0.360 & 14.6 & 7.2 & 0 & 5.9\% & 3779.52 & 0.40 \\
+TabM (T) & 1440${}_{-54,+39}$ & 0.392 & 15.0 & 11.6 & 0 & 4.3\% & 4158.29 & 0.17 \\
+CatBoost (D) & 1439${}_{-57,+48}$ & 0.400 & 15.0 & 11.5 & 0 & 6.2\% & 10.89 & 0.09 \\
+RealMLP (T) & 1405${}_{-53,+53}$ & 0.350 & 16.4 & 13.9 & 0 & 4.6\% & 7141.94 & 0.39 \\
+TabPFNv2 (T+E) & 1381${}_{-47,+55}$ & 0.414 & 17.2 & 3.1 & \textcolor{silver}{\textbf{3}} & 5.1\% & 4223.87 & 27.54 \\
+ModernNCA (D) & 1340${}_{-54,+50}$ & 0.216 & 18.8 & 14.1 & 0 & 7.4\% & 15.50 & 0.30 \\
+TabM (D) & 1329${}_{-48,+53}$ & 0.300 & 19.2 & 15.6 & 0 & 6.0\% & 13.32 & 0.13 \\
+TorchMLP (T+E) & 1306${}_{-57,+46}$ & 0.182 & 20.2 & 14.6 & 0 & 7.6\% & 4608.59 & 1.23 \\
+TabPFNv2 (T) & 1300${}_{-55,+53}$ & 0.287 & 20.6 & 8.4 & 0 & 6.2\% & 4223.87 & 0.45 \\
+RealMLP (D) & 1284${}_{-48,+47}$ & 0.152 & 21.3 & 18.4 & 0 & 7.0\% & 21.86 & 0.84 \\
+ExtraTrees (T+E) & 1272${}_{-60,+53}$ & 0.162 & 21.5 & 13.6 & 0 & 10.0\% & 158.22 & 0.84 \\
+LightGBM (D) & 1264${}_{-54,+53}$ & 0.091 & 21.9 & 21.3 & 0 & 8.1\% & 2.11 & 0.27 \\
+ExtraTrees (T) & 1255${}_{-53,+42}$ & 0.136 & 22.3 & 16.9 & 0 & 10.3\% & 158.22 & 0.15 \\
+TabPFNv2 (D) & 1231${}_{-61,+59}$ & 0.238 & 23.3 & 11.5 & 0 & 7.6\% & 2.80 & 0.31 \\
+TorchMLP (T) & 1230${}_{-47,+46}$ & 0.131 & 23.3 & 20.1 & 0 & 8.4\% & 4608.59 & 0.10 \\
+XGBoost (D) & 1215${}_{-46,+42}$ & 0.114 & 24.1 & 21.5 & 0 & 8.8\% & 2.24 & 0.24 \\
+RandomForest (T+E) & 1203${}_{-48,+46}$ & 0.076 & 24.5 & 22.4 & 0 & 10.9\% & 515.73 & 0.77 \\
+RandomForest (T) & 1153${}_{-58,+49}$ & 0.055 & 26.2 & 24.5 & 0 & 11.4\% & 515.73 & 0.12 \\
+EBM (T+E) & 1136${}_{-61,+46}$ & 0.171 & 27.0 & 13.4 & 0 & 13.7\% & 1890.68 & 0.13 \\
+ExtraTrees (D) & 1100${}_{-63,+56}$ & 0.069 & 28.1 & 25.0 & 0 & 12.2\% & 0.47 & 0.06 \\
+EBM (T) & 1092${}_{-57,+50}$ & 0.150 & 28.5 & 17.0 & 0 & 14.2\% & 1890.68 & 0.01 \\
+FastaiMLP (T+E) & 1040${}_{-50,+62}$ & 0.024 & 30.0 & 28.0 & 0 & 12.2\% & 540.06 & 2.67 \\
+TorchMLP (D) & 1038${}_{-63,+58}$ & 0.017 & 30.2 & 28.2 & 0 & 11.9\% & 20.48 & 0.08 \\
+EBM (D) & 1034${}_{-67,+44}$ & 0.109 & 30.6 & 27.7 & 0 & 15.1\% & 6.33 & 0.04 \\
+RandomForest (D) & 1000${}_{-0,+0}$ & 0.000 & 31.3 & 30.7 & 0 & 12.9\% & 0.53 & 0.06 \\
+FastaiMLP (T) & 992${}_{-65,+49}$ & 0.014 & 31.7 & 30.4 & 0 & 12.7\% & 540.06 & 0.32 \\
+FastaiMLP (D) & 858${}_{-70,+53}$ & 0.000 & 34.9 & 34.3 & 0 & 17.1\% & 2.60 & 0.39 \\
+KNN (T+E) & 532${}_{-96,+78}$ & 0.000 & 39.8 & 39.6 & 0 & 36.1\% & 2.43 & 0.14 \\
+Linear (T+E) & 489${}_{-95,+53}$ & 0.000 & 40.3 & 40.2 & 0 & 35.4\% & 45.74 & 0.11 \\
+KNN (T) & 442${}_{-135,+68}$ & 0.000 & 40.8 & 40.6 & 0 & 36.8\% & 2.43 & 0.03 \\
+Linear (T) & 421${}_{-95,+82}$ & 0.000 & 40.9 & 40.8 & 0 & 35.6\% & 45.74 & 0.05 \\
+Linear (D) & 290${}_{-113,+87}$ & 0.000 & 42.2 & 42.1 & 0 & 38.1\% & 1.19 & 0.09 \\
+KNN (D) & 239${}_{-146,+87}$ & 0.000 & 42.6 & 42.4 & 0 & 40.8\% & 0.04 & 0.02 \\
+\bottomrule
+\end{tabular}
\ No newline at end of file
diff --git a/data/full-imputed-reg/tabarena_leaderboard.csv b/data/full-imputed-reg/tabarena_leaderboard.csv
new file mode 100644
index 0000000000000000000000000000000000000000..cf5122035da68fd15d2ed4def6139423a38217da
--- /dev/null
+++ b/data/full-imputed-reg/tabarena_leaderboard.csv
@@ -0,0 +1,45 @@
+method,time_train_s,time_infer_s,time_train_s_per_1K,time_infer_s_per_1K,normalized-error,normalized-error-task,imputed,champ_delta,loss_rescaled,time_train_s_rescaled,time_infer_s_rescaled,rank,median_metric_error,median_time_train_s,median_time_infer_s,median_time_train_s_per_1K,median_time_infer_s_per_1K,median_normalized-error,median_normalized-error-task,median_imputed,median_champ_delta,median_loss_rescaled,median_time_train_s_rescaled,median_time_infer_s_rescaled,median_rank,rank=1_count,rank=2_count,rank=3_count,rank>3_count,elo,elo+,elo-,winrate,mrr
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+MNCA_GPU (tuned + ensemble),31759.101002019288,48.99773550746787,6166.048475961011,17.643273328787647,0.37486519261010337,0.3801843857676789,0.0,0.038093035353910405,0.03729025388197337,186080.1526868885,677.6872983460363,8.307692307692308,4.48697,16310.556293937894,10.227302259869045,3779.5248398651206,7.690422738079533,0.33564273912263787,0.35100871313945403,0.0,0.019057076597787104,0.02404483039332963,198038.2195884601,507.5335424076248,7.0,3,1,1,8,1632.5,51.0,51.8,0.8300536672629696,0.35811118705855544
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+CAT (tuned + ensemble),30302.612278386874,4.803950041991014,6846.603031359736,1.23549623448159,0.4533481852287783,0.4926936982252365,0.0,0.04475906131711523,0.05586568278238831,150000.99966111325,116.73562230823504,8.923076923076923,4.20864,22090.5574801498,2.685193909539117,3552.958864906998,0.9657383741190037,0.4197753110205541,0.5095036442102125,0.0,0.0214910315460225,0.0360010253274791,164350.82166574517,80.04598787510639,9.0,0,0,1,12,1615.9,58.2,51.0,0.815742397137746,0.13981452645420256
+GBM (tuned + ensemble),3469.6354441180188,51.50608464469258,806.792675338677,8.57889161766087,0.4578704418351117,0.4915767713552377,0.0,0.049628721858481745,0.06009436123338137,20529.34803212188,1135.938430886033,9.153846153846153,4.21165,3055.419878217909,17.84196005927192,700.1537746143185,9.321818212785747,0.41469312312474516,0.4239687696189567,0.0,0.026696516466175324,0.03428340330572247,21786.570035668443,556.5446710812895,7.0,0,0,0,13,1608.9,57.6,52.5,0.8103756708407871,0.14022351917088757
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+KNN (default),2.0401845610039864,0.07292802802517882,0.5185761600539422,0.029646415007926124,1.0,0.999847626563869,0.07692307692307693,0.4076491058824559,0.8492569035691879,1.1215157323318734,1.57971988992164,42.61538461538461,8.55152,0.15191650390625,0.04789047771030002,0.03752343922831045,0.021942545900661376,1.0,1.0,0.0,0.4573857803481276,1.0,1.0,1.5317182357480712,44.0,0,0,0,13,238.6,87.0,145.9,0.03220035778175313,0.023578620171993768
diff --git a/data/full-imputed-reg/time_plot.png.zip b/data/full-imputed-reg/time_plot.png.zip
new file mode 100644
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+version https://git-lfs.github.com/spec/v1
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diff --git a/data/full-imputed-reg/tuning-impact-elo-horizontal.png.zip b/data/full-imputed-reg/tuning-impact-elo-horizontal.png.zip
new file mode 100644
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+++ b/data/full-imputed-reg/tuning-impact-elo-horizontal.png.zip
@@ -0,0 +1,3 @@
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diff --git a/data/full-imputed-reg/tuning-impact-elo.png.zip b/data/full-imputed-reg/tuning-impact-elo.png.zip
new file mode 100644
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diff --git a/data/full-imputed/figures/critical-diagram.png.zip b/data/full-imputed/figures/critical-diagram.png.zip
new file mode 100644
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+version https://git-lfs.github.com/spec/v1
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diff --git a/data/full-imputed/leaderboard.tex b/data/full-imputed/leaderboard.tex
new file mode 100644
index 0000000000000000000000000000000000000000..5141f83e9d430027a94c4d6196e041812453a826
--- /dev/null
+++ b/data/full-imputed/leaderboard.tex
@@ -0,0 +1,53 @@
+\begin{tabular}{llcccccrr}
+\toprule
+\textbf{Model} & \textbf{Elo ($\uparrow$)} & \textbf{Norm.} & \textbf{Avg.} & \textbf{Harm.} & \textbf{\#wins ($\uparrow$)} & \textbf{Improva-} & \textbf{Train time} & \textbf{Predict time} \\
+ &  & \textbf{score ($\uparrow$)} & \textbf{rank ($\downarrow$)} & \textbf{mean} &  & \textbf{bility ($\downarrow$)} & \textbf{per 1K [s]} & \textbf{per 1K [s]} \\
+ &  &  &  & \textbf{rank ($\downarrow$)} &  &  &  &  \\
+\midrule
+AutoGluon 1.3 (4h) & \textcolor{gold}{\textbf{1590${}_{-28,+24}$}} & \textcolor{gold}{\textbf{0.618}} & \textcolor{gold}{\textbf{8.4}} & \textcolor{gold}{\textbf{3.1}} & \textcolor{silver}{\textbf{8}} & \textcolor{gold}{\textbf{5.8\%}} & 1408.78 & 3.34 \\
+RealMLP (T+E) & \textcolor{silver}{\textbf{1565${}_{-23,+28}$}} & \textcolor{silver}{\textbf{0.537}} & \textcolor{silver}{\textbf{9.1}} & 5.7 & 0 & \textcolor{silver}{\textbf{6.6\%}} & 6564.71 & 10.26 \\
+TabM (T+E) & \textcolor{bronze}{\textbf{1544${}_{-22,+27}$}} & \textcolor{bronze}{\textbf{0.502}} & \textcolor{bronze}{\textbf{9.9}} & 4.9 & 3 & \textcolor{bronze}{\textbf{7.0\%}} & 3285.87 & 1.47 \\
+LightGBM (T+E) & 1526${}_{-24,+24}$ & 0.452 & 10.6 & 6.6 & 1 & 8.6\% & 416.98 & 2.64 \\
+CatBoost (T+E) & 1484${}_{-26,+19}$ & 0.433 & 12.4 & 8.2 & 0 & 7.9\% & 1658.41 & 0.65 \\
+CatBoost (T) & 1470${}_{-23,+18}$ & 0.416 & 13.0 & 7.0 & 1 & 8.1\% & 1658.41 & 0.08 \\
+TabM (T) & 1453${}_{-27,+20}$ & 0.413 & 13.7 & 7.2 & 1 & 8.0\% & 3285.87 & 0.17 \\
+LightGBM (T) & 1448${}_{-27,+23}$ & 0.363 & 14.0 & 11.7 & 0 & 9.3\% & 416.98 & 0.33 \\
+XGBoost (T+E) & 1439${}_{-20,+21}$ & 0.361 & 14.3 & 9.9 & 0 & 9.4\% & 693.49 & 1.69 \\
+ModernNCA (T+E) & 1434${}_{-27,+24}$ & 0.444 & 14.5 & 5.3 & 3 & 8.7\% & 4621.67 & 8.15 \\
+CatBoost (D) & 1428${}_{-20,+27}$ & 0.372 & 14.8 & 7.9 & 1 & 9.3\% & 6.83 & 0.08 \\
+TabPFNv2 (T+E) & 1415${}_{-26,+27}$ & 0.476 & 15.4 & \textcolor{gold}{\textbf{3.1}} & \textcolor{gold}{\textbf{11}} & 8.5\% & 3030.15 & 21.44 \\
+XGBoost (T) & 1405${}_{-23,+22}$ & 0.313 & 15.9 & 13.2 & 0 & 9.7\% & 693.49 & 0.31 \\
+ModernNCA (T) & 1402${}_{-21,+18}$ & 0.307 & 16.0 & 8.9 & 1 & 9.3\% & 4621.67 & 0.47 \\
+TabICL (D) & 1390${}_{-24,+24}$ & 0.381 & 16.6 & \textcolor{bronze}{\textbf{4.5}} & 6 & 9.2\% & 6.63 & 1.48 \\
+TabPFNv2 (T) & 1348${}_{-24,+24}$ & 0.360 & 18.6 & 5.7 & 1 & 10.6\% & 3030.15 & 0.46 \\
+RealMLP (T) & 1348${}_{-21,+20}$ & 0.229 & 18.6 & 15.9 & 0 & 10.1\% & 6564.71 & 0.49 \\
+TabM (D) & 1347${}_{-19,+20}$ & 0.285 & 18.6 & 12.6 & 0 & 10.9\% & 10.49 & 0.13 \\
+TorchMLP (T+E) & 1332${}_{-21,+25}$ & 0.220 & 19.4 & 14.8 & 0 & 10.6\% & 2874.67 & 1.95 \\
+TabPFNv2 (D) & 1321${}_{-23,+21}$ & 0.324 & 20.0 & 5.6 & 4 & 11.6\% & 3.36 & 0.31 \\
+TabDPT (D) & 1300${}_{-28,+25}$ & 0.300 & 21.0 & 4.9 & \textcolor{bronze}{\textbf{7}} & 12.3\% & 22.53 & 8.55 \\
+ModernNCA (D) & 1299${}_{-23,+25}$ & 0.159 & 21.0 & 12.8 & 1 & 12.8\% & 14.87 & 0.31 \\
+EBM (T+E) & 1292${}_{-25,+24}$ & 0.184 & 21.4 & 13.5 & 0 & 14.6\% & 1331.68 & 0.20 \\
+FastaiMLP (T+E) & 1250${}_{-19,+24}$ & 0.158 & 23.5 & 14.5 & 0 & 14.0\% & 593.24 & 4.47 \\
+RealMLP (D) & 1244${}_{-25,+21}$ & 0.104 & 23.7 & 20.3 & 0 & 12.7\% & 21.86 & 0.84 \\
+ExtraTrees (T+E) & 1243${}_{-21,+22}$ & 0.124 & 23.8 & 15.8 & 0 & 14.3\% & 183.02 & 0.76 \\
+EBM (T) & 1236${}_{-21,+18}$ & 0.135 & 24.1 & 17.7 & 0 & 15.3\% & 1331.68 & 0.02 \\
+XGBoost (D) & 1232${}_{-24,+19}$ & 0.115 & 24.4 & 19.8 & 0 & 12.7\% & 1.94 & 0.12 \\
+TorchMLP (T) & 1223${}_{-21,+25}$ & 0.113 & 24.8 & 21.3 & 0 & 12.7\% & 2874.67 & 0.13 \\
+EBM (D) & 1202${}_{-29,+22}$ & 0.134 & 25.7 & 13.5 & 1 & 16.2\% & 4.67 & 0.04 \\
+LightGBM (D) & 1202${}_{-23,+23}$ & 0.088 & 25.7 & 23.0 & 0 & 13.5\% & 1.96 & 0.14 \\
+RandomForest (T+E) & 1201${}_{-24,+21}$ & 0.098 & 25.8 & 15.9 & 0 & 15.1\% & 373.18 & 0.77 \\
+ExtraTrees (T) & 1200${}_{-28,+18}$ & 0.094 & 25.9 & 17.1 & 0 & 15.4\% & 183.02 & 0.09 \\
+FastaiMLP (T) & 1161${}_{-19,+24}$ & 0.073 & 27.7 & 22.6 & 0 & 15.6\% & 593.24 & 0.31 \\
+RandomForest (T) & 1152${}_{-25,+19}$ & 0.072 & 28.1 & 18.0 & 0 & 16.2\% & 373.18 & 0.09 \\
+TorchMLP (D) & 1066${}_{-21,+24}$ & 0.022 & 31.6 & 29.0 & 0 & 17.5\% & 9.99 & 0.13 \\
+FastaiMLP (D) & 1011${}_{-23,+23}$ & 0.023 & 33.7 & 31.0 & 0 & 20.8\% & 2.86 & 0.37 \\
+RandomForest (D) & 1000${}_{-0,+0}$ & 0.009 & 34.0 & 32.4 & 0 & 21.3\% & 0.43 & 0.05 \\
+ExtraTrees (D) & 972${}_{-28,+21}$ & 0.025 & 35.0 & 31.4 & 0 & 23.0\% & 0.25 & 0.05 \\
+Linear (T+E) & 917${}_{-21,+31}$ & 0.031 & 36.6 & 28.3 & 0 & 30.8\% & 47.49 & 0.17 \\
+Linear (T) & 882${}_{-30,+32}$ & 0.020 & 37.5 & 32.8 & 0 & 31.5\% & 47.49 & 0.07 \\
+Linear (D) & 862${}_{-30,+23}$ & 0.014 & 38.1 & 30.5 & 0 & 32.9\% & 1.52 & 0.09 \\
+KNN (T+E) & 685${}_{-32,+27}$ & 0.000 & 41.4 & 41.1 & 0 & 45.3\% & 2.74 & 0.18 \\
+KNN (T) & 608${}_{-48,+32}$ & 0.000 & 42.4 & 42.3 & 0 & 46.9\% & 2.74 & 0.04 \\
+KNN (D) & 459${}_{-45,+42}$ & 0.000 & 43.8 & 43.6 & 0 & 54.1\% & 0.05 & 0.02 \\
+\bottomrule
+\end{tabular}
\ No newline at end of file
diff --git a/data/full-imputed/tabarena_leaderboard.csv b/data/full-imputed/tabarena_leaderboard.csv
new file mode 100644
index 0000000000000000000000000000000000000000..e4181baffcc8f0d93a1ffd8c88a912998b945545
--- /dev/null
+++ b/data/full-imputed/tabarena_leaderboard.csv
@@ -0,0 +1,46 @@
+method,time_train_s,time_infer_s,time_train_s_per_1K,time_infer_s_per_1K,normalized-error,normalized-error-task,imputed,champ_delta,loss_rescaled,time_train_s_rescaled,time_infer_s_rescaled,rank,median_metric_error,median_time_train_s,median_time_infer_s,median_time_train_s_per_1K,median_time_infer_s_per_1K,median_normalized-error,median_normalized-error-task,median_imputed,median_champ_delta,median_loss_rescaled,median_time_train_s_rescaled,median_time_infer_s_rescaled,median_rank,rank=1_count,rank=2_count,rank=3_count,rank>3_count,elo,elo+,elo-,winrate,mrr
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+REALMLP (tuned + ensemble),82918.85938235045,50.75538799222518,8669.653795437369,17.385570695148495,0.4634803896199485,0.48980490794993603,0.0,0.0662652507057572,0.04428998923773407,179788.549283492,846.8926595159473,9.147058823529411,0.20859,30826.14291326205,23.329282654656303,6564.713231881598,10.263652729721208,0.4233707478718706,0.4394625063276673,0.0,0.03156540515236528,0.021508501844188344,136595.8709190495,808.3809230744637,7.0,0,5,4,42,1564.6,27.5,23.0,0.8148395721925134,0.17688848740169394
+TABM_GPU (tuned + ensemble),36462.58337058756,8.791583087761158,5017.258422060137,3.1802055454964386,0.49791774396870153,0.5234045251267629,0.0,0.06977046437303486,0.06341802359213981,80230.4785975727,130.9039885664859,9.872549019607844,0.20535,8420.993191123009,2.7141049438052707,3285.8688373170553,1.4723486146222118,0.4651893659350262,0.5081840173827434,0.0,0.03250086419089859,0.027567784172117953,47614.825535817596,111.53030159160512,8.0,3,2,3,43,1543.9,26.8,21.9,0.7983511586452763,0.20599586481497986
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+CAT (tuned + ensemble),20021.3498029566,3.148214934334516,4130.291158755297,0.9792413821552454,0.5665168479793786,0.5762538702782276,0.0,0.07932910031410541,0.05277138538144033,58497.64726501732,62.60491239485109,12.372549019607844,0.21079,7127.110804247856,1.3727677133348253,1658.412974283854,0.65278892715772,0.5695869531891277,0.5907800269434179,0.0,0.04606752490069621,0.02774139238223889,22349.13952253535,41.43902270876451,11.0,0,1,4,46,1484.5,18.5,25.4,0.7415329768270945,0.12146805837673025
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+TABM_GPU (tuned),36462.58337058756,0.9691277276976176,5017.258422060137,0.3543499279245272,0.5874385027995309,0.5895097011198668,0.0,0.08005397326560945,0.07918093169544495,80230.4785975727,13.69951936973594,13.696078431372548,0.21042,8420.993191123009,0.2791590425703261,3285.8688373170553,0.1728818165133111,0.559085035183601,0.6013449948327668,0.0,0.041022605221466724,0.035365730806074164,47614.825535817596,11.564361688735561,14.0,1,3,2,45,1452.9,20.0,26.7,0.7114527629233511,0.1390380052974814
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+XT (tuned + ensemble),1289.1519403179227,3.0578905248434194,464.9314949446578,1.2901947647379284,0.8763124357874087,0.8533692619097849,0.0,0.14328509610809964,0.11780722719308848,5501.829777288316,78.94715148525705,23.823529411764707,0.21814,763.5855970117781,1.8364481396145291,183.01944048073585,0.761281055543471,1.0,0.9521925032545069,0.0,0.08603990026311015,0.07137952858629182,3537.1622158448404,68.20231667792302,27.0,0,0,1,50,1243.2,21.4,20.4,0.48128342245989303,0.06310725111805937
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+RF (tuned + ensemble),2245.014868743487,2.632504310950734,530.9489806737863,1.2198476221584795,0.9024507372146047,0.8782930186177115,0.0,0.15120883991739936,0.12864400480448673,6771.2411119904955,73.51636782881279,25.84313725490196,0.21966,886.9249708387587,1.8479143513573542,373.17861356387994,0.7709478321252661,1.0,0.9768978814786328,0.0,0.0916564450840821,0.08516072052322858,5833.628398157948,63.708677480395814,28.0,0,1,1,49,1200.7,20.1,23.2,0.4353832442067736,0.06295017478288799
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-#,Type,TypeName,Model,Elo [⬆️],Elo 95% CI,Score [⬆️],Rank [⬇️],Harmonic Rank [⬇️],Improvability (%) [⬇️],Median Train Time (s/1K) [⬇️],Median Predict Time (s/1K) [⬇️],Verified,Imputed (%) [⬇️],Imputed,Hardware
-0,📊,Reference Pipeline,"[AutoGluon 1.4 (extreme, 4h)](https://arxiv.org/abs/2003.06505)",1674.0,+64/-51,0.779,7.11,3.25,5.696,582.21,6.116,✔️,0.0,False,GPU
-1,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned + ensembled)](https://arxiv.org/abs/2511.08667),1622.0,+87/-59,0.733,8.76,2.95,4.989,2040.22,8.92,✔️,0.0,False,GPU
-2,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned)](https://arxiv.org/abs/2511.08667),1576.0,+73/-54,0.675,10.47,4.04,5.962,2040.22,1.218,✔️,0.0,False,GPU
-3,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (default)](https://arxiv.org/abs/2511.08667),1544.0,+71/-51,0.643,11.79,5.2,6.68,5.81,0.645,✔️,0.0,False,GPU
-4,📊,Reference Pipeline,"[AutoGluon 1.4 (best, 4h)](https://arxiv.org/abs/2003.06505)",1534.0,+55/-51,0.542,12.23,5.48,8.82,1735.72,2.559,✔️,0.0,False,CPU
-5,🧠🔁,Neural Network,[RealMLP (tuned + ensembled)](https://arxiv.org/abs/2407.04491),1532.0,+57/-47,0.541,12.29,7.13,8.942,2950.72,11.988,✔️,0.0,False,GPU
-6,🧠⚡,Foundation Model,[TabDPT (tuned + ensembled)](https://arxiv.org/abs/2410.18164),1476.0,+64/-52,0.51,14.92,4.58,8.97,4907.64,286.652,✔️,0.0,False,GPU
-7,🧠🔁,Neural Network,[TabM (tuned + ensembled)](https://arxiv.org/abs/2410.24210),1462.0,+55/-42,0.415,15.58,8.43,10.369,3285.87,1.472,✔️,0.0,False,GPU
-8,🌳,Tree-based,[LightGBM (tuned + ensembled)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1446.0,+36/-31,0.372,16.4,11.34,11.57,416.98,2.639,✔️,0.0,False,CPU
-9,🧠🔁,Neural Network,[RealMLP (tuned)](https://arxiv.org/abs/2407.04491),1442.0,+47/-47,0.371,16.62,8.87,10.411,2950.72,0.663,✔️,0.0,False,GPU
-10,🌳,Tree-based,[CatBoost (tuned + ensembled)](https://arxiv.org/abs/1706.09516),1429.0,+42/-42,0.351,17.3,10.3,11.136,1658.41,0.653,✔️,0.0,False,CPU
-11,🌳,Tree-based,[CatBoost (tuned)](https://arxiv.org/abs/1706.09516),1417.0,+41/-42,0.335,17.95,9.81,11.319,1658.41,0.081,✔️,0.0,False,CPU
-12,🧠⚡,Foundation Model,[TabDPT (tuned)](https://arxiv.org/abs/2410.18164),1416.0,+59/-58,0.418,17.96,6.14,10.351,4907.64,39.96,✔️,0.0,False,GPU
-13,🧠🔁,Neural Network,[ModernNCA (tuned + ensembled)](https://arxiv.org/abs/2407.03257),1406.0,+82/-53,0.381,18.5,7.7,11.589,4621.67,8.149,✔️,0.0,False,GPU
-14,🧠🔁,Neural Network,[TabM (tuned)](https://arxiv.org/abs/2410.24210),1401.0,+55/-47,0.333,18.77,9.81,11.277,3285.87,0.173,✔️,0.0,False,GPU
-15,🌳,Tree-based,[LightGBM (tuned)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1396.0,+30/-29,0.275,19.03,13.61,12.262,416.98,0.334,✔️,0.0,False,CPU
-16,🌳,Tree-based,[XGBoost (tuned + ensembled)](https://arxiv.org/abs/1603.02754),1386.0,+34/-34,0.289,19.61,12.83,12.354,693.49,1.69,✔️,0.0,False,CPU
-17,🌳,Tree-based,[CatBoost (default)](https://arxiv.org/abs/1706.09516),1376.0,+41/-43,0.302,20.17,11.47,12.131,6.83,0.08,✔️,0.0,False,CPU
-18,🧠🔁,Neural Network,[ModernNCA (tuned)](https://arxiv.org/abs/2407.03257),1368.0,+45/-40,0.241,20.58,10.45,12.119,4621.67,0.475,✔️,0.0,False,GPU
-19,❓,Other,[xRFM (tuned + ensembled)](https://arxiv.org/abs/2508.10053),1363.0,+48/-40,0.259,20.89,12.21,12.749,846.88,2.552,✔️,0.0,False,GPU
-20,🌳,Tree-based,[XGBoost (tuned)](https://arxiv.org/abs/1603.02754),1361.0,+30/-32,0.233,21.0,15.22,12.678,693.49,0.308,✔️,0.0,False,CPU
-21,🧠⚡,Foundation Model,[TabDPT (default)](https://arxiv.org/abs/2410.18164),1336.0,+70/-59,0.335,22.37,7.33,13.017,47.62,43.739,✔️,0.0,False,GPU
-22,❓,Other,[xRFM (tuned)](https://arxiv.org/abs/2508.10053),1311.0,+47/-37,0.189,23.79,14.73,14.035,846.88,0.13,✔️,0.0,False,GPU
-23,🧠🔁,Neural Network,[TabM (default)](https://arxiv.org/abs/2410.24210),1303.0,+54/-47,0.226,24.27,14.7,13.768,10.49,0.132,✔️,0.0,False,GPU
-24,🧠🔁,Neural Network,[TorchMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1297.0,+50/-49,0.159,24.61,16.79,13.542,2874.67,1.952,✔️,0.0,False,CPU
-25,🧠⚡,Foundation Model,[SAP-RPT-OSS (default)](https://arxiv.org/abs/2506.10707),1295.0,+58/-51,0.272,24.72,8.97,14.411,14.11,2.075,➖,0.0,False,GPU
-26,🌳,Tree-based,[EBM (tuned + ensembled)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1280.0,+42/-39,0.162,25.57,16.61,15.31,2929.85,0.422,✔️,0.0,False,CPU
-27,🧠🔁,Neural Network,[ModernNCA (default)](https://arxiv.org/abs/2407.03257),1256.0,+44/-42,0.119,26.94,16.39,15.671,14.87,0.308,✔️,0.0,False,GPU
-28,🌳,Tree-based,[EBM (tuned)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1241.0,+46/-44,0.11,27.77,17.92,15.99,2929.85,0.051,✔️,0.0,False,CPU
-29,🧠🔁,Neural Network,[RealMLP (default)](https://arxiv.org/abs/2407.04491),1238.0,+37/-42,0.084,27.96,19.99,15.056,10.06,1.689,✔️,0.0,False,GPU
-30,🌳,Tree-based,[XGBoost (default)](https://arxiv.org/abs/1603.02754),1218.0,+39/-39,0.092,29.03,20.86,15.53,1.94,0.123,✔️,0.0,False,CPU
-31,🧠🔁,Neural Network,[TorchMLP (tuned)](https://arxiv.org/abs/2003.06505),1216.0,+42/-48,0.079,29.15,20.42,15.395,2874.67,0.131,✔️,0.0,False,CPU
-32,🧠🔁,Neural Network,[FastaiMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1216.0,+51/-60,0.129,29.15,17.72,16.432,593.24,4.467,✔️,0.0,False,CPU
-33,🌳,Tree-based,[ExtraTrees (tuned + ensembled)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1210.0,+46/-43,0.099,29.47,19.54,17.023,183.02,0.761,✔️,0.0,False,CPU
-34,🌳,Tree-based,[EBM (default)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1207.0,+46/-48,0.107,29.68,20.02,17.135,7.32,0.05,✔️,0.0,False,CPU
-35,🌳,Tree-based,[LightGBM (default)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1189.0,+35/-30,0.048,30.63,26.49,16.14,1.96,0.142,✔️,0.0,False,CPU
-36,🌳,Tree-based,[RandomForest (tuned + ensembled)](https://link.springer.com/article/10.1023/A:1010933404324),1179.0,+54/-48,0.073,31.2,20.58,17.919,373.18,0.771,✔️,0.0,False,CPU
-37,🌳,Tree-based,[ExtraTrees (tuned)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1171.0,+47/-52,0.075,31.59,19.83,17.986,183.02,0.091,✔️,0.0,False,CPU
-38,🧠🔁,Neural Network,[FastaiMLP (tuned)](https://arxiv.org/abs/2003.06505),1151.0,+51/-55,0.056,32.68,21.94,17.928,593.24,0.306,✔️,0.0,False,CPU
-39,🌳,Tree-based,[RandomForest (tuned)](https://link.springer.com/article/10.1023/A:1010933404324),1141.0,+49/-45,0.05,33.17,21.01,18.69,373.18,0.085,✔️,0.0,False,CPU
-40,🧠🔁,Neural Network,[TorchMLP (default)](https://arxiv.org/abs/2003.06505),1072.0,+34/-49,0.009,36.57,29.41,19.793,9.99,0.126,✔️,0.0,False,CPU
-41,❓,Other,[xRFM (default)](https://arxiv.org/abs/2508.10053),1043.0,+61/-62,0.03,37.89,30.27,23.406,3.23,0.919,✔️,0.0,False,GPU
-42,🧠🔁,Neural Network,[FastaiMLP (default)](https://arxiv.org/abs/2003.06505),1004.0,+58/-60,0.01,39.56,29.17,22.789,2.86,0.373,✔️,0.0,False,CPU
-43,🌳,Tree-based,[RandomForest (default)](https://link.springer.com/article/10.1023/A:1010933404324),1000.0,+45/-47,0.005,39.71,35.21,23.577,0.43,0.054,✔️,0.0,False,CPU
-44,📏,Baseline,[KNN (tuned + ensembled)](https://scikit-learn.org/stable/modules/neighbors.html),998.0,+62/-88,0.017,39.8,28.27,25.428,129.01,1.802,✔️,0.0,False,CPU
-45,🌳,Tree-based,[ExtraTrees (default)](https://link.springer.com/article/10.1007/s10994-006-6226-1),980.0,+58/-70,0.01,40.48,35.51,25.075,0.25,0.05,✔️,0.0,False,CPU
-46,📏,Baseline,[Linear (tuned + ensembled)](https://scikit-learn.org/stable/modules/linear_model.html),968.0,+65/-96,0.031,40.95,30.93,31.37,237.58,0.424,✔️,0.0,False,CPU
-47,📏,Baseline,[Linear (tuned)](https://scikit-learn.org/stable/modules/linear_model.html),938.0,+71/-108,0.023,42.03,32.29,31.963,237.58,0.085,✔️,0.0,False,CPU
-48,📏,Baseline,[KNN (tuned)](https://scikit-learn.org/stable/modules/neighbors.html),887.0,+67/-107,0.004,43.7,33.56,30.663,129.01,0.18,✔️,0.0,False,CPU
-49,📏,Baseline,[Linear (default)](https://scikit-learn.org/stable/modules/linear_model.html),852.0,+77/-130,0.014,44.7,35.66,34.682,1.19,0.12,✔️,0.0,False,CPU
-50,📏,Baseline,[KNN (default)](https://scikit-learn.org/stable/modules/neighbors.html),634.0,+89/-113,0.0,48.93,44.79,44.315,0.19,0.036,✔️,0.0,False,CPU
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-#,Type,TypeName,Model,Elo [⬆️],Elo 95% CI,Score [⬆️],Rank [⬇️],Harmonic Rank [⬇️],Improvability (%) [⬇️],Median Train Time (s/1K) [⬇️],Median Predict Time (s/1K) [⬇️],Verified,Imputed (%) [⬇️],Imputed,Hardware
-0,📊,Reference Pipeline,"[AutoGluon 1.4 (extreme, 4h)](https://arxiv.org/abs/2003.06505)",1821.0,+90/-48,0.837,5.84,2.86,2.566,289.53,3.187,✔️,0.0,False,GPU
-1,📊,Reference Pipeline,"[AutoGluon 1.4 (best, 4h)](https://arxiv.org/abs/2003.06505)",1801.0,+83/-48,0.811,6.35,3.08,2.669,432.35,4.085,✔️,0.0,False,CPU
-2,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned + ensembled)](https://arxiv.org/abs/2511.08667),1673.0,+164/-122,0.664,10.31,3.09,5.382,735.58,11.736,✔️,0.0,False,GPU
-3,🧠🔁,Neural Network,[RealMLP (tuned + ensembled)](https://arxiv.org/abs/2407.04491),1647.0,+107/-94,0.588,11.29,6.97,5.684,1719.82,1.675,✔️,0.0,False,GPU
-4,🧠🔁,Neural Network,[ModernNCA (tuned + ensembled)](https://arxiv.org/abs/2407.03257),1633.0,+127/-117,0.605,11.84,6.46,5.75,2526.28,6.013,✔️,0.0,False,GPU
-5,🌳,Tree-based,[CatBoost (tuned + ensembled)](https://arxiv.org/abs/1706.09516),1618.0,+85/-62,0.545,12.41,6.65,5.585,777.59,0.25,✔️,0.0,False,CPU
-6,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned)](https://arxiv.org/abs/2511.08667),1617.0,+146/-113,0.596,12.45,5.04,6.097,735.58,1.386,✔️,0.0,False,GPU
-7,🌳,Tree-based,[CatBoost (tuned)](https://arxiv.org/abs/1706.09516),1608.0,+93/-67,0.547,12.84,5.68,5.783,777.59,0.052,✔️,0.0,False,CPU
-8,🌳,Tree-based,[LightGBM (tuned + ensembled)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1600.0,+77/-58,0.498,13.18,8.89,7.351,131.56,2.639,✔️,0.0,False,CPU
-9,🌳,Tree-based,[CatBoost (default)](https://arxiv.org/abs/1706.09516),1564.0,+109/-97,0.531,14.73,7.15,5.97,3.24,0.031,✔️,0.0,False,CPU
-10,🌳,Tree-based,[XGBoost (tuned + ensembled)](https://arxiv.org/abs/1603.02754),1558.0,+87/-61,0.454,15.0,8.92,7.478,282.13,0.563,✔️,0.0,False,CPU
-11,🧠🔁,Neural Network,[RealMLP (tuned)](https://arxiv.org/abs/2407.04491),1546.0,+116/-94,0.414,15.53,8.77,7.016,1719.82,0.081,✔️,0.0,False,GPU
-12,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (default)](https://arxiv.org/abs/2511.08667),1545.0,+154/-100,0.484,15.58,7.64,6.906,1.88,0.645,✔️,0.0,False,GPU
-13,🧠🔁,Neural Network,[TabM (tuned + ensembled)](https://arxiv.org/abs/2410.24210),1540.0,+155/-94,0.429,15.84,7.36,7.41,1993.14,0.619,✔️,0.0,False,GPU
-14,🧠⚡,Foundation Model,[TabDPT (tuned + ensembled)](https://arxiv.org/abs/2410.18164),1531.0,+142/-126,0.49,16.22,4.17,7.024,4786.55,444.544,✔️,0.0,False,GPU
-15,🌳,Tree-based,[LightGBM (tuned)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1509.0,+82/-66,0.35,17.26,11.99,8.574,131.56,0.132,✔️,0.0,False,CPU
-16,🌳,Tree-based,[XGBoost (tuned)](https://arxiv.org/abs/1603.02754),1509.0,+69/-50,0.364,17.28,13.22,8.062,282.13,0.066,✔️,0.0,False,CPU
-17,🧠🔁,Neural Network,[TabM (tuned)](https://arxiv.org/abs/2410.24210),1487.0,+151/-102,0.365,18.31,8.45,8.168,1993.14,0.061,✔️,0.0,False,GPU
-18,🧠🔁,Neural Network,[ModernNCA (tuned)](https://arxiv.org/abs/2407.03257),1479.0,+104/-92,0.33,18.69,12.57,8.151,2526.28,0.349,✔️,0.0,False,GPU
-19,❓,Other,[xRFM (tuned + ensembled)](https://arxiv.org/abs/2508.10053),1435.0,+111/-101,0.279,20.87,12.83,9.676,566.74,0.951,✔️,0.0,False,GPU
-20,🧠⚡,Foundation Model,[TabDPT (tuned)](https://arxiv.org/abs/2410.18164),1408.0,+123/-125,0.303,22.2,8.64,9.655,4786.55,42.641,✔️,0.0,False,GPU
-21,🧠🔁,Neural Network,[TorchMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1386.0,+70/-70,0.186,23.3,17.02,9.424,1770.56,1.069,✔️,0.0,False,CPU
-22,❓,Other,[xRFM (tuned)](https://arxiv.org/abs/2508.10053),1381.0,+96/-95,0.201,23.54,18.73,11.377,566.74,0.06,✔️,0.0,False,GPU
-23,🌳,Tree-based,[XGBoost (default)](https://arxiv.org/abs/1603.02754),1370.0,+100/-119,0.241,24.13,14.56,9.928,0.49,0.053,✔️,0.0,False,CPU
-24,🧠⚡,Foundation Model,[TabDPT (default)](https://arxiv.org/abs/2410.18164),1334.0,+129/-140,0.234,25.92,10.08,12.451,46.62,43.739,✔️,0.0,False,GPU
-25,🌳,Tree-based,[EBM (tuned + ensembled)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1332.0,+119/-129,0.206,26.05,17.9,12.922,1517.65,0.134,✔️,0.0,False,CPU
-26,🧠🔁,Neural Network,[TabM (default)](https://arxiv.org/abs/2410.24210),1326.0,+133/-110,0.181,26.33,17.46,11.007,5.16,0.074,✔️,0.0,False,GPU
-27,🧠🔁,Neural Network,[ModernNCA (default)](https://arxiv.org/abs/2407.03257),1301.0,+77/-82,0.105,27.6,23.67,11.463,8.06,0.25,✔️,0.0,False,GPU
-28,🧠🔁,Neural Network,[RealMLP (default)](https://arxiv.org/abs/2407.04491),1279.0,+85/-71,0.049,28.71,25.76,12.214,6.75,0.235,✔️,0.0,False,GPU
-29,🧠🔁,Neural Network,[TorchMLP (tuned)](https://arxiv.org/abs/2003.06505),1276.0,+80/-77,0.061,28.87,24.51,11.211,1770.56,0.051,✔️,0.0,False,CPU
-30,🌳,Tree-based,[EBM (tuned)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1269.0,+109/-135,0.133,29.19,22.49,13.812,1517.65,0.015,✔️,0.0,False,CPU
-31,🌳,Tree-based,[LightGBM (default)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1257.0,+63/-75,0.056,29.79,27.46,11.863,0.29,0.045,✔️,0.0,False,CPU
-32,🌳,Tree-based,[RandomForest (tuned + ensembled)](https://link.springer.com/article/10.1023/A:1010933404324),1250.0,+86/-78,0.04,30.14,24.3,12.418,66.0,0.341,✔️,0.0,False,CPU
-33,🌳,Tree-based,[EBM (default)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1218.0,+99/-139,0.097,31.62,27.07,15.399,3.12,0.016,✔️,0.0,False,CPU
-34,🌳,Tree-based,[RandomForest (tuned)](https://link.springer.com/article/10.1023/A:1010933404324),1217.0,+97/-88,0.042,31.71,25.66,13.131,66.0,0.024,✔️,0.0,False,CPU
-35,🧠🔁,Neural Network,[FastaiMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1211.0,+110/-138,0.072,31.96,25.22,14.369,351.94,1.658,✔️,0.0,False,CPU
-36,🌳,Tree-based,[ExtraTrees (tuned + ensembled)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1206.0,+71/-84,0.024,32.18,29.89,12.542,36.48,0.329,✔️,0.0,False,CPU
-37,🧠⚡,Foundation Model,[SAP-RPT-OSS (default)](https://arxiv.org/abs/2506.10707),1205.0,+85/-93,0.047,32.27,27.42,14.333,11.44,10.416,➖,0.0,False,GPU
-38,🌳,Tree-based,[ExtraTrees (tuned)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1158.0,+63/-75,0.01,34.39,32.69,13.771,36.48,0.037,✔️,0.0,False,CPU
-39,🧠🔁,Neural Network,[TorchMLP (default)](https://arxiv.org/abs/2003.06505),1117.0,+65/-74,0.0,36.16,34.61,15.534,2.18,0.039,✔️,0.0,False,CPU
-40,🧠🔁,Neural Network,[FastaiMLP (tuned)](https://arxiv.org/abs/2003.06505),1099.0,+85/-109,0.021,36.91,32.77,16.646,351.94,0.114,✔️,0.0,False,CPU
-41,❓,Other,[xRFM (default)](https://arxiv.org/abs/2508.10053),1046.0,+144/-192,0.018,38.96,34.13,23.683,2.49,0.145,✔️,0.0,False,GPU
-42,🧠🔁,Neural Network,[FastaiMLP (default)](https://arxiv.org/abs/2003.06505),1019.0,+138/-180,0.025,39.96,35.77,20.34,1.51,0.111,✔️,0.0,False,CPU
-43,🌳,Tree-based,[RandomForest (default)](https://link.springer.com/article/10.1023/A:1010933404324),1000.0,+60/-88,0.0,40.61,39.78,18.698,0.2,0.021,✔️,0.0,False,CPU
-44,📏,Baseline,[KNN (tuned + ensembled)](https://scikit-learn.org/stable/modules/neighbors.html),993.0,+86/-123,0.006,40.84,34.85,22.252,150.3,10.071,✔️,0.0,False,CPU
-45,📏,Baseline,[Linear (tuned + ensembled)](https://scikit-learn.org/stable/modules/linear_model.html),946.0,+151/-227,0.005,42.36,39.13,31.109,43.64,0.081,✔️,0.0,False,CPU
-46,🌳,Tree-based,[ExtraTrees (default)](https://link.springer.com/article/10.1007/s10994-006-6226-1),938.0,+107/-133,0.002,42.59,41.03,21.813,0.11,0.028,✔️,0.0,False,CPU
-47,📏,Baseline,[Linear (tuned)](https://scikit-learn.org/stable/modules/linear_model.html),893.0,+156/-248,0.003,43.88,41.42,32.052,43.64,0.018,✔️,0.0,False,CPU
-48,📏,Baseline,[KNN (tuned)](https://scikit-learn.org/stable/modules/neighbors.html),805.0,+58/-94,0.0,45.96,45.71,28.248,150.3,0.482,✔️,0.0,False,CPU
-49,📏,Baseline,[Linear (default)](https://scikit-learn.org/stable/modules/linear_model.html),778.0,+139/-246,0.0,46.5,45.41,34.158,0.19,0.019,✔️,0.0,False,CPU
-50,📏,Baseline,[KNN (default)](https://scikit-learn.org/stable/modules/neighbors.html),559.0,+106/-172,0.0,49.53,49.44,42.214,0.1,0.072,✔️,0.0,False,CPU
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diff --git a/data/imputation_no/splits_all/tasks_all/datasets_small/website_leaderboard.csv b/data/imputation_no/splits_all/tasks_all/datasets_small/website_leaderboard.csv
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-#,Type,TypeName,Model,Elo [⬆️],Elo 95% CI,Score [⬆️],Rank [⬇️],Harmonic Rank [⬇️],Improvability (%) [⬇️],Median Train Time (s/1K) [⬇️],Median Predict Time (s/1K) [⬇️],Verified,Imputed (%) [⬇️],Imputed,Hardware
-0,📊,Reference Pipeline,"[AutoGluon 1.4 (extreme, 4h)](https://arxiv.org/abs/2003.06505)",1635.0,+68/-53,0.755,7.64,3.45,7.001,659.63,7.444,✔️,0.0,False,GPU
-1,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned + ensembled)](https://arxiv.org/abs/2511.08667),1620.0,+96/-63,0.762,8.11,2.89,4.825,2289.05,8.049,✔️,0.0,False,GPU
-2,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned)](https://arxiv.org/abs/2511.08667),1577.0,+77/-58,0.708,9.64,3.73,5.905,2289.05,1.143,✔️,0.0,False,GPU
-3,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (default)](https://arxiv.org/abs/2511.08667),1562.0,+86/-61,0.709,10.21,4.59,6.586,6.76,0.636,✔️,0.0,False,GPU
-4,🧠🔁,Neural Network,[RealMLP (tuned + ensembled)](https://arxiv.org/abs/2407.04491),1502.0,+67/-48,0.522,12.71,7.2,10.299,3770.75,21.902,✔️,0.0,False,GPU
-5,🧠⚡,Foundation Model,[TabDPT (tuned + ensembled)](https://arxiv.org/abs/2410.18164),1467.0,+83/-61,0.518,14.37,4.78,9.78,5119.36,218.711,✔️,0.0,False,GPU
-6,📊,Reference Pipeline,"[AutoGluon 1.4 (best, 4h)](https://arxiv.org/abs/2003.06505)",1460.0,+53/-47,0.431,14.68,8.1,11.383,3716.07,2.547,✔️,0.0,False,CPU
-7,🧠🔁,Neural Network,[TabM (tuned + ensembled)](https://arxiv.org/abs/2410.24210),1444.0,+58/-48,0.41,15.47,8.97,11.602,3553.12,1.741,✔️,0.0,False,GPU
-8,🧠⚡,Foundation Model,[TabDPT (tuned)](https://arxiv.org/abs/2410.18164),1430.0,+76/-58,0.466,16.19,5.48,10.64,5119.36,28.351,✔️,0.0,False,GPU
-9,🧠🔁,Neural Network,[RealMLP (tuned)](https://arxiv.org/abs/2407.04491),1414.0,+54/-42,0.353,17.07,8.91,11.826,3770.75,1.778,✔️,0.0,False,GPU
-10,🌳,Tree-based,[LightGBM (tuned + ensembled)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1401.0,+34/-36,0.319,17.75,12.81,13.328,892.41,2.574,✔️,0.0,False,CPU
-11,🧠🔁,Neural Network,[TabM (tuned)](https://arxiv.org/abs/2410.24210),1378.0,+55/-51,0.32,18.97,10.51,12.572,3553.12,0.241,✔️,0.0,False,GPU
-12,🌳,Tree-based,[CatBoost (tuned + ensembled)](https://arxiv.org/abs/1706.09516),1372.0,+42/-42,0.27,19.34,13.36,13.45,2476.51,0.814,✔️,0.0,False,CPU
-13,🌳,Tree-based,[LightGBM (tuned)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1364.0,+35/-29,0.244,19.77,14.42,13.799,892.41,0.346,✔️,0.0,False,CPU
-14,🌳,Tree-based,[CatBoost (tuned)](https://arxiv.org/abs/1706.09516),1359.0,+46/-34,0.247,20.08,14.09,13.626,2476.51,0.101,✔️,0.0,False,CPU
-15,🧠⚡,Foundation Model,[TabDPT (default)](https://arxiv.org/abs/2410.18164),1344.0,+72/-67,0.378,20.89,6.58,13.253,50.32,43.709,✔️,0.0,False,GPU
-16,❓,Other,[xRFM (tuned + ensembled)](https://arxiv.org/abs/2508.10053),1344.0,+47/-40,0.251,20.9,11.97,14.029,1126.71,2.941,✔️,0.0,False,GPU
-17,🧠🔁,Neural Network,[ModernNCA (tuned + ensembled)](https://arxiv.org/abs/2407.03257),1337.0,+62/-60,0.288,21.27,8.36,14.021,6521.96,8.396,✔️,0.0,False,GPU
-18,🧠🔁,Neural Network,[ModernNCA (tuned)](https://arxiv.org/abs/2407.03257),1336.0,+45/-42,0.204,21.37,9.76,13.773,6521.96,0.506,✔️,0.0,False,GPU
-19,🌳,Tree-based,[XGBoost (tuned + ensembled)](https://arxiv.org/abs/1603.02754),1333.0,+36/-38,0.22,21.53,15.7,14.385,884.18,2.368,✔️,0.0,False,CPU
-20,🧠⚡,Foundation Model,[SAP-RPT-OSS (default)](https://arxiv.org/abs/2506.10707),1332.0,+69/-59,0.366,21.57,7.0,14.443,16.22,1.278,➖,0.0,False,GPU
-21,🌳,Tree-based,[CatBoost (default)](https://arxiv.org/abs/1706.09516),1317.0,+37/-40,0.207,22.43,15.33,14.699,9.64,0.128,✔️,0.0,False,CPU
-22,🌳,Tree-based,[XGBoost (tuned)](https://arxiv.org/abs/1603.02754),1315.0,+32/-36,0.178,22.55,16.24,14.601,884.18,0.393,✔️,0.0,False,CPU
-23,🧠🔁,Neural Network,[TabM (default)](https://arxiv.org/abs/2410.24210),1300.0,+55/-47,0.245,23.41,13.79,14.918,13.18,0.17,✔️,0.0,False,GPU
-24,❓,Other,[xRFM (tuned)](https://arxiv.org/abs/2508.10053),1292.0,+40/-43,0.185,23.9,13.52,15.143,1126.71,0.163,✔️,0.0,False,GPU
-25,🧠🔁,Neural Network,[TorchMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1270.0,+46/-50,0.148,25.16,16.69,15.258,3865.95,2.158,✔️,0.0,False,CPU
-26,🌳,Tree-based,[EBM (tuned + ensembled)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1266.0,+46/-44,0.144,25.37,16.13,16.306,3351.28,0.47,✔️,0.0,False,CPU
-27,🧠🔁,Neural Network,[ModernNCA (default)](https://arxiv.org/abs/2407.03257),1244.0,+48/-54,0.125,26.67,14.53,17.425,16.27,0.321,✔️,0.0,False,GPU
-28,🌳,Tree-based,[EBM (tuned)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1236.0,+47/-46,0.101,27.18,16.52,16.897,3351.28,0.056,✔️,0.0,False,CPU
-29,🧠🔁,Neural Network,[RealMLP (default)](https://arxiv.org/abs/2407.04491),1227.0,+38/-42,0.098,27.64,18.29,16.24,15.69,4.691,✔️,0.0,False,GPU
-30,🧠🔁,Neural Network,[FastaiMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1222.0,+58/-63,0.153,27.98,15.77,17.292,1678.92,8.069,✔️,0.0,False,CPU
-31,🌳,Tree-based,[ExtraTrees (tuned + ensembled)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1215.0,+69/-65,0.131,28.34,17.08,18.89,499.14,1.466,✔️,0.0,False,CPU
-32,🌳,Tree-based,[EBM (default)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1206.0,+50/-51,0.111,28.87,18.06,17.859,9.08,0.057,✔️,0.0,False,CPU
-33,🧠🔁,Neural Network,[TorchMLP (tuned)](https://arxiv.org/abs/2003.06505),1199.0,+40/-47,0.086,29.26,19.09,17.139,3865.95,0.148,✔️,0.0,False,CPU
-34,🌳,Tree-based,[ExtraTrees (tuned)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1179.0,+63/-62,0.102,30.42,17.04,19.742,499.14,0.207,✔️,0.0,False,CPU
-35,🧠🔁,Neural Network,[FastaiMLP (tuned)](https://arxiv.org/abs/2003.06505),1170.0,+54/-52,0.07,30.91,19.28,18.462,1678.92,0.826,✔️,0.0,False,CPU
-36,🌳,Tree-based,[LightGBM (default)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1168.0,+40/-39,0.045,30.99,26.11,17.922,3.61,0.17,✔️,0.0,False,CPU
-37,🌳,Tree-based,[XGBoost (default)](https://arxiv.org/abs/1603.02754),1167.0,+35/-37,0.03,31.07,25.45,17.865,3.29,0.253,✔️,0.0,False,CPU
-38,🌳,Tree-based,[RandomForest (tuned + ensembled)](https://link.springer.com/article/10.1023/A:1010933404324),1156.0,+58/-69,0.086,31.65,19.34,20.211,590.04,1.461,✔️,0.0,False,CPU
-39,🌳,Tree-based,[RandomForest (tuned)](https://link.springer.com/article/10.1023/A:1010933404324),1117.0,+54/-69,0.054,33.78,19.53,21.006,590.04,0.15,✔️,0.0,False,CPU
-40,🧠🔁,Neural Network,[TorchMLP (default)](https://arxiv.org/abs/2003.06505),1058.0,+45/-47,0.012,36.74,27.68,21.567,13.69,0.155,✔️,0.0,False,CPU
-41,❓,Other,[xRFM (default)](https://arxiv.org/abs/2508.10053),1042.0,+67/-89,0.035,37.45,28.91,23.291,5.44,1.098,✔️,0.0,False,GPU
-42,🌳,Tree-based,[RandomForest (default)](https://link.springer.com/article/10.1023/A:1010933404324),1000.0,+57/-73,0.007,39.34,33.6,25.61,0.51,0.089,✔️,0.0,False,CPU
-43,📏,Baseline,[KNN (tuned + ensembled)](https://scikit-learn.org/stable/modules/neighbors.html),999.0,+72/-94,0.022,39.37,26.21,26.751,111.84,1.215,✔️,0.0,False,CPU
-44,🧠🔁,Neural Network,[FastaiMLP (default)](https://arxiv.org/abs/2003.06505),999.0,+49/-61,0.003,39.4,27.09,23.81,5.48,0.685,✔️,0.0,False,CPU
-45,🌳,Tree-based,[ExtraTrees (default)](https://link.springer.com/article/10.1007/s10994-006-6226-1),994.0,+71/-75,0.013,39.6,33.63,26.434,0.47,0.092,✔️,0.0,False,CPU
-46,📏,Baseline,[Linear (tuned + ensembled)](https://scikit-learn.org/stable/modules/linear_model.html),975.0,+84/-100,0.043,40.36,28.45,31.478,520.95,0.647,✔️,0.0,False,CPU
-47,📏,Baseline,[Linear (tuned)](https://scikit-learn.org/stable/modules/linear_model.html),952.0,+83/-107,0.031,41.26,29.58,31.926,520.95,0.113,✔️,0.0,False,CPU
-48,📏,Baseline,[KNN (tuned)](https://scikit-learn.org/stable/modules/neighbors.html),910.0,+73/-92,0.006,42.76,30.21,31.67,111.84,0.111,✔️,0.0,False,CPU
-49,📏,Baseline,[Linear (default)](https://scikit-learn.org/stable/modules/linear_model.html),873.0,+99/-125,0.02,43.95,32.73,34.901,2.59,0.138,✔️,0.0,False,CPU
-50,📏,Baseline,[KNN (default)](https://scikit-learn.org/stable/modules/neighbors.html),653.0,+111/-144,0.0,48.68,43.1,45.191,0.37,0.033,✔️,0.0,False,CPU
diff --git a/data/imputation_no/splits_all/tasks_all/datasets_small/winrate_matrix.png.zip b/data/imputation_no/splits_all/tasks_all/datasets_small/winrate_matrix.png.zip
deleted file mode 100644
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--- a/data/imputation_no/splits_all/tasks_all/datasets_small/winrate_matrix.png.zip
+++ /dev/null
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deleted file mode 100644
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diff --git a/data/imputation_no/splits_all/tasks_all/datasets_tabpfn/pareto_front_improvability_vs_time_infer.png.zip b/data/imputation_no/splits_all/tasks_all/datasets_tabpfn/pareto_front_improvability_vs_time_infer.png.zip
deleted file mode 100644
index 52948b5769a2afa2ef6bfc630d82922ad8eee9f6..0000000000000000000000000000000000000000
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diff --git a/data/imputation_no/splits_all/tasks_all/datasets_tabpfn/tuning-impact-elo.png.zip b/data/imputation_no/splits_all/tasks_all/datasets_tabpfn/tuning-impact-elo.png.zip
deleted file mode 100644
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diff --git a/data/imputation_no/splits_all/tasks_all/datasets_tabpfn/website_leaderboard.csv b/data/imputation_no/splits_all/tasks_all/datasets_tabpfn/website_leaderboard.csv
deleted file mode 100644
index 201051bc62b92144a6012600e45bae6f81153861..0000000000000000000000000000000000000000
--- a/data/imputation_no/splits_all/tasks_all/datasets_tabpfn/website_leaderboard.csv
+++ /dev/null
@@ -1,57 +0,0 @@
-#,Type,TypeName,Model,Elo [⬆️],Elo 95% CI,Score [⬆️],Rank [⬇️],Harmonic Rank [⬇️],Improvability (%) [⬇️],Median Train Time (s/1K) [⬇️],Median Predict Time (s/1K) [⬇️],Verified,Imputed (%) [⬇️],Imputed,Hardware
-0,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned + ensembled)](https://arxiv.org/abs/2511.08667),1636.0,+92/-70,0.738,9.28,3.47,5.487,2166.18,7.945,✔️,0.0,False,GPU
-1,📊,Reference Pipeline,"[AutoGluon 1.4 (extreme, 4h)](https://arxiv.org/abs/2003.06505)",1633.0,+76/-53,0.712,9.4,4.29,7.843,611.55,7.01,✔️,0.0,False,GPU
-2,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (default)](https://arxiv.org/abs/2511.08667),1599.0,+64/-62,0.714,10.78,5.44,7.146,6.14,0.586,✔️,0.0,False,GPU
-3,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned)](https://arxiv.org/abs/2511.08667),1594.0,+73/-62,0.686,10.99,4.31,6.585,2166.18,0.993,✔️,0.0,False,GPU
-4,🧠⚡,Foundation Model,[TabPFNv2 (tuned + ensembled)](https://www.nature.com/articles/s41586-024-08328-6),1543.0,+73/-49,0.583,13.29,5.59,9.672,3899.42,55.833,✔️,0.0,False,GPU
-5,🧠🔁,Neural Network,[Mitra (default)](https://arxiv.org/abs/2510.21204),1513.0,+73/-47,0.555,14.79,6.01,10.779,136.59,3.391,✔️,0.0,False,GPU
-6,🧠🔁,Neural Network,[RealMLP (tuned + ensembled)](https://arxiv.org/abs/2407.04491),1510.0,+54/-44,0.493,14.92,8.32,11.276,3547.04,20.963,✔️,0.0,False,GPU
-7,🧠🔁,Neural Network,[LimiX (default)](https://arxiv.org/abs/2509.03505),1504.0,+73/-71,0.574,15.25,5.51,13.315,4.85,0.629,➖,0.0,False,GPU
-8,🧠⚡,Foundation Model,[TabDPT (tuned + ensembled)](https://arxiv.org/abs/2410.18164),1466.0,+74/-61,0.471,17.34,5.5,10.795,4980.83,207.372,✔️,0.0,False,GPU
-9,📊,Reference Pipeline,"[AutoGluon 1.4 (best, 4h)](https://arxiv.org/abs/2003.06505)",1456.0,+45/-50,0.381,17.88,10.09,12.435,3376.59,2.54,✔️,0.0,False,CPU
-10,🧠🔁,Neural Network,[TabM (tuned + ensembled)](https://arxiv.org/abs/2410.24210),1444.0,+55/-50,0.364,18.6,10.4,12.664,3372.56,1.658,✔️,0.0,False,GPU
-11,🧠⚡,Foundation Model,[TabDPT (tuned)](https://arxiv.org/abs/2410.18164),1440.0,+79/-68,0.441,18.8,6.02,11.57,4980.83,23.583,✔️,0.0,False,GPU
-12,🧠⚡,Foundation Model,[TabPFNv2 (tuned)](https://www.nature.com/articles/s41586-024-08328-6),1437.0,+80/-68,0.426,19.0,6.98,12.223,3899.42,0.983,✔️,0.0,False,GPU
-13,🧠🔁,Neural Network,[RealMLP (tuned)](https://arxiv.org/abs/2407.04491),1420.0,+56/-47,0.331,19.97,10.64,12.828,3547.04,1.57,✔️,0.0,False,GPU
-14,🌳,Tree-based,[LightGBM (tuned + ensembled)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1395.0,+36/-34,0.255,21.47,15.3,14.595,771.57,2.49,✔️,0.0,False,CPU
-15,🧠⚡,Foundation Model,[TabPFNv2 (default)](https://www.nature.com/articles/s41586-024-08328-6),1388.0,+69/-67,0.388,21.92,9.49,13.784,4.22,0.554,✔️,0.0,False,GPU
-16,🧠🔁,Neural Network,[TabM (tuned)](https://arxiv.org/abs/2410.24210),1381.0,+58/-50,0.278,22.34,11.97,13.664,3372.56,0.208,✔️,0.0,False,GPU
-17,🌳,Tree-based,[CatBoost (tuned + ensembled)](https://arxiv.org/abs/1706.09516),1381.0,+42/-36,0.232,22.36,15.41,14.608,2034.85,0.805,✔️,0.0,False,CPU
-18,🌳,Tree-based,[CatBoost (tuned)](https://arxiv.org/abs/1706.09516),1367.0,+36/-33,0.213,23.25,16.61,14.804,2034.85,0.097,✔️,0.0,False,CPU
-19,🧠⚡,Foundation Model,[TabDPT (default)](https://arxiv.org/abs/2410.18164),1365.0,+89/-66,0.379,23.36,7.07,14.238,48.9,43.804,✔️,0.0,False,GPU
-20,🧠⚡,Foundation Model,[SAP-RPT-OSS (default)](https://arxiv.org/abs/2506.10707),1362.0,+65/-67,0.346,23.56,7.96,15.219,14.11,1.17,➖,0.0,False,GPU
-21,🌳,Tree-based,[LightGBM (tuned)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1361.0,+36/-30,0.185,23.61,17.3,15.073,771.57,0.322,✔️,0.0,False,CPU
-22,❓,Other,[xRFM (tuned + ensembled)](https://arxiv.org/abs/2508.10053),1340.0,+50/-45,0.201,24.91,15.09,15.311,1105.59,2.552,✔️,0.0,False,GPU
-23,🌳,Tree-based,[XGBoost (tuned + ensembled)](https://arxiv.org/abs/1603.02754),1336.0,+36/-36,0.175,25.15,18.83,15.668,828.74,2.312,✔️,0.0,False,CPU
-24,🧠🔁,Neural Network,[ModernNCA (tuned + ensembled)](https://arxiv.org/abs/2407.03257),1336.0,+73/-67,0.249,25.17,11.47,15.327,6147.69,8.149,✔️,0.0,False,GPU
-25,🧠🔁,Neural Network,[ModernNCA (tuned)](https://arxiv.org/abs/2407.03257),1336.0,+46/-49,0.171,25.17,11.99,14.894,6147.69,0.485,✔️,0.0,False,GPU
-26,🌳,Tree-based,[CatBoost (default)](https://arxiv.org/abs/1706.09516),1325.0,+48/-44,0.178,25.85,17.59,15.936,8.51,0.123,✔️,0.0,False,CPU
-27,🌳,Tree-based,[XGBoost (tuned)](https://arxiv.org/abs/1603.02754),1318.0,+32/-33,0.135,26.28,18.98,15.886,828.74,0.336,✔️,0.0,False,CPU
-28,🧠🔁,Neural Network,[TabM (default)](https://arxiv.org/abs/2410.24210),1312.0,+53/-53,0.219,26.71,15.44,16.015,12.24,0.154,✔️,0.0,False,GPU
-29,❓,Other,[xRFM (tuned)](https://arxiv.org/abs/2508.10053),1294.0,+45/-40,0.149,27.83,16.61,16.438,1105.59,0.13,✔️,0.0,False,GPU
-30,🌳,Tree-based,[EBM (tuned + ensembled)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1281.0,+48/-44,0.113,28.67,18.84,17.425,2929.85,0.433,✔️,0.0,False,CPU
-31,🧠🔁,Neural Network,[TorchMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1272.0,+48/-53,0.124,29.2,20.68,16.423,3704.3,2.074,✔️,0.0,False,CPU
-32,🧠🔁,Neural Network,[ModernNCA (default)](https://arxiv.org/abs/2407.03257),1266.0,+48/-43,0.116,29.61,16.23,18.028,16.16,0.307,✔️,0.0,False,GPU
-33,🌳,Tree-based,[EBM (tuned)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1251.0,+52/-49,0.079,30.59,18.58,18.029,2929.85,0.054,✔️,0.0,False,CPU
-34,🧠🔁,Neural Network,[RealMLP (default)](https://arxiv.org/abs/2407.04491),1243.0,+42/-38,0.082,31.04,20.45,17.117,15.48,4.535,✔️,0.0,False,GPU
-35,🧠🔁,Neural Network,[FastaiMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1234.0,+51/-62,0.14,31.61,17.15,18.454,1459.62,8.056,✔️,0.0,False,CPU
-36,🌳,Tree-based,[EBM (default)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1218.0,+49/-53,0.073,32.64,20.44,18.893,8.47,0.054,✔️,0.0,False,CPU
-37,🌳,Tree-based,[ExtraTrees (tuned + ensembled)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1211.0,+60/-62,0.097,33.03,21.91,20.439,416.39,1.393,✔️,0.0,False,CPU
-38,🧠🔁,Neural Network,[TorchMLP (tuned)](https://arxiv.org/abs/2003.06505),1202.0,+47/-48,0.067,33.62,21.81,18.319,3704.3,0.143,✔️,0.0,False,CPU
-39,🧠🔁,Neural Network,[FastaiMLP (tuned)](https://arxiv.org/abs/2003.06505),1180.0,+56/-61,0.061,34.94,21.38,19.639,1459.62,0.89,✔️,0.0,False,CPU
-40,🌳,Tree-based,[ExtraTrees (tuned)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1176.0,+57/-61,0.065,35.14,23.11,21.259,416.39,0.179,✔️,0.0,False,CPU
-41,🌳,Tree-based,[XGBoost (default)](https://arxiv.org/abs/1603.02754),1172.0,+38/-38,0.02,35.42,30.3,19.257,3.05,0.241,✔️,0.0,False,CPU
-42,🌳,Tree-based,[LightGBM (default)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1158.0,+33/-42,0.022,36.23,31.72,19.461,3.39,0.158,✔️,0.0,False,CPU
-43,🌳,Tree-based,[RandomForest (tuned + ensembled)](https://link.springer.com/article/10.1023/A:1010933404324),1141.0,+56/-58,0.044,37.17,25.69,21.955,572.67,1.421,✔️,0.0,False,CPU
-44,🌳,Tree-based,[RandomForest (tuned)](https://link.springer.com/article/10.1023/A:1010933404324),1102.0,+48/-48,0.017,39.34,27.82,22.731,572.67,0.143,✔️,0.0,False,CPU
-45,🧠🔁,Neural Network,[TorchMLP (default)](https://arxiv.org/abs/2003.06505),1066.0,+50/-61,0.013,41.23,31.06,22.804,11.82,0.147,✔️,0.0,False,CPU
-46,❓,Other,[xRFM (default)](https://arxiv.org/abs/2508.10053),1052.0,+72/-82,0.027,41.91,32.45,24.878,5.39,1.034,✔️,0.0,False,GPU
-47,🧠🔁,Neural Network,[FastaiMLP (default)](https://arxiv.org/abs/2003.06505),1010.0,+54/-67,0.001,43.91,29.79,24.901,5.18,0.652,✔️,0.0,False,CPU
-48,📏,Baseline,[KNN (tuned + ensembled)](https://scikit-learn.org/stable/modules/neighbors.html),1005.0,+72/-88,0.012,44.14,31.64,28.265,100.58,1.106,✔️,0.0,False,CPU
-49,🌳,Tree-based,[ExtraTrees (default)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1003.0,+81/-87,0.008,44.21,37.49,27.463,0.42,0.078,✔️,0.0,False,CPU
-50,📏,Baseline,[Linear (tuned + ensembled)](https://scikit-learn.org/stable/modules/linear_model.html),1003.0,+72/-107,0.044,44.22,30.57,31.413,504.17,0.629,✔️,0.0,False,CPU
-51,🌳,Tree-based,[RandomForest (default)](https://link.springer.com/article/10.1023/A:1010933404324),1000.0,+56/-71,0.002,44.34,38.83,26.728,0.47,0.069,✔️,0.0,False,CPU
-52,📏,Baseline,[Linear (tuned)](https://scikit-learn.org/stable/modules/linear_model.html),980.0,+74/-108,0.03,45.19,32.31,31.822,504.17,0.103,✔️,0.0,False,CPU
-53,📏,Baseline,[KNN (tuned)](https://scikit-learn.org/stable/modules/neighbors.html),909.0,+77/-103,0.0,47.87,34.26,33.409,100.58,0.101,✔️,0.0,False,CPU
-54,📏,Baseline,[Linear (default)](https://scikit-learn.org/stable/modules/linear_model.html),904.0,+80/-126,0.019,48.07,35.41,34.282,2.51,0.137,✔️,0.0,False,CPU
-55,📏,Baseline,[KNN (default)](https://scikit-learn.org/stable/modules/neighbors.html),679.0,+97/-168,0.0,53.42,46.54,45.736,0.29,0.028,✔️,0.0,False,CPU
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-#,Type,TypeName,Model,Elo [⬆️],Elo 95% CI,Score [⬆️],Rank [⬇️],Harmonic Rank [⬇️],Improvability (%) [⬇️],Median Train Time (s/1K) [⬇️],Median Predict Time (s/1K) [⬇️],Verified,Imputed (%) [⬇️],Imputed,Hardware
-0,📊,Reference Pipeline,"[AutoGluon 1.4 (extreme, 4h)](https://arxiv.org/abs/2003.06505)",1655.0,+97/-71,0.791,7.53,3.0,5.801,442.09,6.381,✔️,0.0,False,GPU
-1,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned + ensembled)](https://arxiv.org/abs/2511.08667),1567.0,+111/-62,0.674,10.74,3.65,6.072,1923.88,9.103,✔️,0.0,False,GPU
-2,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (default)](https://arxiv.org/abs/2511.08667),1545.0,+101/-57,0.672,11.67,4.88,7.151,4.91,0.694,✔️,0.0,False,GPU
-3,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned)](https://arxiv.org/abs/2511.08667),1535.0,+100/-58,0.626,12.14,4.4,7.181,1923.88,1.329,✔️,0.0,False,GPU
-4,📊,Reference Pipeline,"[AutoGluon 1.4 (best, 4h)](https://arxiv.org/abs/2003.06505)",1513.0,+74/-64,0.552,13.16,5.3,9.088,1152.95,1.784,✔️,0.0,False,CPU
-5,🧠🔁,Neural Network,[RealMLP (tuned + ensembled)](https://arxiv.org/abs/2407.04491),1498.0,+52/-55,0.489,13.85,8.9,10.194,2775.44,8.849,✔️,0.0,False,GPU
-6,🧠🔁,Neural Network,[TabM (tuned + ensembled)](https://arxiv.org/abs/2410.24210),1474.0,+76/-58,0.448,15.11,7.31,10.846,2229.7,1.387,✔️,0.0,False,GPU
-7,🌳,Tree-based,[LightGBM (tuned + ensembled)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1436.0,+56/-38,0.379,17.09,10.99,12.349,328.96,1.102,✔️,0.0,False,CPU
-8,🧠⚡,Foundation Model,[TabDPT (tuned + ensembled)](https://arxiv.org/abs/2410.18164),1421.0,+72/-63,0.42,17.97,6.01,9.185,4982.66,358.753,✔️,0.0,False,GPU
-9,🧠🔁,Neural Network,[TabM (tuned)](https://arxiv.org/abs/2410.24210),1414.0,+80/-59,0.366,18.34,8.71,11.761,2229.7,0.133,✔️,0.0,False,GPU
-10,🌳,Tree-based,[CatBoost (tuned + ensembled)](https://arxiv.org/abs/1706.09516),1408.0,+62/-51,0.35,18.68,10.01,12.129,1055.6,0.482,✔️,0.0,False,CPU
-11,🌳,Tree-based,[CatBoost (tuned)](https://arxiv.org/abs/1706.09516),1403.0,+60/-53,0.351,18.99,9.32,12.223,1055.6,0.063,✔️,0.0,False,CPU
-12,🌳,Tree-based,[CatBoost (default)](https://arxiv.org/abs/1706.09516),1402.0,+56/-50,0.362,19.01,9.45,12.097,4.27,0.064,✔️,0.0,False,CPU
-13,🧠🔁,Neural Network,[RealMLP (tuned)](https://arxiv.org/abs/2407.04491),1399.0,+51/-56,0.291,19.2,9.83,11.992,2775.44,0.415,✔️,0.0,False,GPU
-14,🌳,Tree-based,[XGBoost (tuned + ensembled)](https://arxiv.org/abs/1603.02754),1384.0,+61/-52,0.31,20.09,11.3,13.257,472.99,0.621,✔️,0.0,False,CPU
-15,🌳,Tree-based,[LightGBM (tuned)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1383.0,+49/-31,0.267,20.14,13.61,13.208,328.96,0.126,✔️,0.0,False,CPU
-16,🧠⚡,Foundation Model,[BetaTabPFN (default)](https://arxiv.org/abs/2502.02527),1380.0,+68/-66,0.355,20.34,9.6,14.109,250.36,1.708,➖,0.0,False,GPU
-17,🧠🔁,Neural Network,[ModernNCA (tuned + ensembled)](https://arxiv.org/abs/2407.03257),1366.0,+94/-94,0.372,21.13,8.49,12.927,3383.91,8.396,✔️,0.0,False,GPU
-18,🧠🔁,Neural Network,[ModernNCA (tuned)](https://arxiv.org/abs/2407.03257),1365.0,+56/-59,0.244,21.17,9.89,12.885,3383.91,0.51,✔️,0.0,False,GPU
-19,🧠⚡,Foundation Model,[TabDPT (tuned)](https://arxiv.org/abs/2410.18164),1354.0,+64/-59,0.3,21.84,7.11,10.877,4982.66,42.199,✔️,0.0,False,GPU
-20,🌳,Tree-based,[XGBoost (tuned)](https://arxiv.org/abs/1603.02754),1349.0,+48/-42,0.231,22.16,14.53,13.773,472.99,0.13,✔️,0.0,False,CPU
-21,❓,Other,[xRFM (tuned + ensembled)](https://arxiv.org/abs/2508.10053),1330.0,+58/-56,0.206,23.31,13.25,13.888,642.33,2.767,✔️,0.0,False,GPU
-22,🧠🔁,Neural Network,[TorchMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1317.0,+50/-42,0.191,24.1,15.97,13.504,2241.65,2.415,✔️,0.0,False,CPU
-23,🧠🔁,Neural Network,[TabM (default)](https://arxiv.org/abs/2410.24210),1311.0,+68/-66,0.246,24.43,13.5,14.462,8.72,0.126,✔️,0.0,False,GPU
-24,🌳,Tree-based,[EBM (tuned + ensembled)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1311.0,+51/-46,0.171,24.46,15.88,15.381,1560.02,0.404,✔️,0.0,False,CPU
-25,❓,Other,[xRFM (tuned)](https://arxiv.org/abs/2508.10053),1302.0,+47/-58,0.169,25.01,14.17,15.164,642.33,0.146,✔️,0.0,False,GPU
-26,🧠⚡,Foundation Model,[SAP-RPT-OSS (default)](https://arxiv.org/abs/2506.10707),1295.0,+65/-62,0.243,25.42,10.31,15.901,12.86,3.167,➖,0.0,False,GPU
-27,🧠⚡,Foundation Model,[TabDPT (default)](https://arxiv.org/abs/2410.18164),1282.0,+65/-72,0.244,26.22,9.53,14.248,49.67,43.824,✔️,0.0,False,GPU
-28,🌳,Tree-based,[EBM (tuned)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1275.0,+50/-46,0.111,26.67,16.79,16.094,1560.02,0.052,✔️,0.0,False,CPU
-29,🧠🔁,Neural Network,[ModernNCA (default)](https://arxiv.org/abs/2407.03257),1267.0,+49/-43,0.142,27.15,14.44,15.94,13.5,0.311,✔️,0.0,False,GPU
-30,🧠🔁,Neural Network,[FastaiMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1266.0,+60/-63,0.148,27.18,16.95,15.531,559.38,4.08,✔️,0.0,False,CPU
-31,🧠🔁,Neural Network,[RealMLP (default)](https://arxiv.org/abs/2407.04491),1264.0,+43/-43,0.106,27.33,18.23,14.851,9.33,1.116,✔️,0.0,False,GPU
-32,🌳,Tree-based,[EBM (default)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1248.0,+48/-51,0.114,28.32,17.77,17.149,4.98,0.049,✔️,0.0,False,CPU
-33,🌳,Tree-based,[XGBoost (default)](https://arxiv.org/abs/1603.02754),1232.0,+66/-57,0.117,29.26,18.52,16.412,1.24,0.11,✔️,0.0,False,CPU
-34,🧠🔁,Neural Network,[TorchMLP (tuned)](https://arxiv.org/abs/2003.06505),1225.0,+46/-40,0.073,29.68,20.15,15.714,2241.65,0.136,✔️,0.0,False,CPU
-35,🧠🔁,Neural Network,[FastaiMLP (tuned)](https://arxiv.org/abs/2003.06505),1190.0,+56/-62,0.058,31.72,20.46,17.57,559.38,0.276,✔️,0.0,False,CPU
-36,🌳,Tree-based,[ExtraTrees (tuned + ensembled)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1187.0,+51/-52,0.06,31.9,22.47,18.049,125.38,0.674,✔️,0.0,False,CPU
-37,🌳,Tree-based,[LightGBM (default)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1180.0,+50/-35,0.048,32.35,27.56,17.195,0.81,0.093,✔️,0.0,False,CPU
-38,🌳,Tree-based,[RandomForest (tuned + ensembled)](https://link.springer.com/article/10.1023/A:1010933404324),1155.0,+51/-57,0.034,33.76,23.41,19.411,169.75,0.603,✔️,0.0,False,CPU
-39,🌳,Tree-based,[ExtraTrees (tuned)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1146.0,+50/-51,0.037,34.27,24.55,19.211,125.38,0.069,✔️,0.0,False,CPU
-40,🌳,Tree-based,[RandomForest (tuned)](https://link.springer.com/article/10.1023/A:1010933404324),1120.0,+42/-55,0.018,35.69,25.47,20.141,169.75,0.059,✔️,0.0,False,CPU
-41,🧠🔁,Neural Network,[TorchMLP (default)](https://arxiv.org/abs/2003.06505),1092.0,+64/-49,0.014,37.14,28.23,20.117,4.95,0.091,✔️,0.0,False,CPU
-42,🧠🔁,Neural Network,[FastaiMLP (default)](https://arxiv.org/abs/2003.06505),1057.0,+64/-81,0.017,38.93,25.22,21.507,2.56,0.267,✔️,0.0,False,CPU
-43,📏,Baseline,[Linear (tuned + ensembled)](https://scikit-learn.org/stable/modules/linear_model.html),1050.0,+83/-106,0.054,39.25,26.66,26.853,162.68,0.405,✔️,0.0,False,CPU
-44,🧠⚡,Foundation Model,[TabFlex (default)](https://arxiv.org/abs/2506.05584),1043.0,+108/-117,0.094,39.57,23.05,25.571,0.85,0.129,➖,0.0,False,GPU
-45,📏,Baseline,[KNN (tuned + ensembled)](https://scikit-learn.org/stable/modules/neighbors.html),1022.0,+60/-104,0.017,40.56,29.08,24.258,139.84,3.917,✔️,0.0,False,CPU
-46,📏,Baseline,[Linear (tuned)](https://scikit-learn.org/stable/modules/linear_model.html),1021.0,+91/-118,0.039,40.58,28.09,27.547,162.68,0.054,✔️,0.0,False,CPU
-47,🌳,Tree-based,[RandomForest (default)](https://link.springer.com/article/10.1023/A:1010933404324),1000.0,+62/-79,0.012,41.52,35.08,24.336,0.25,0.029,✔️,0.0,False,CPU
-48,❓,Other,[xRFM (default)](https://arxiv.org/abs/2508.10053),983.0,+72/-103,0.021,42.22,34.49,26.628,2.8,0.564,✔️,0.0,False,GPU
-49,📏,Baseline,[Linear (default)](https://scikit-learn.org/stable/modules/linear_model.html),958.0,+86/-118,0.024,43.22,31.03,29.49,0.84,0.094,✔️,0.0,False,CPU
-50,🌳,Tree-based,[ExtraTrees (default)](https://link.springer.com/article/10.1007/s10994-006-6226-1),956.0,+73/-90,0.01,43.3,37.32,25.807,0.2,0.037,✔️,0.0,False,CPU
-51,📏,Baseline,[KNN (tuned)](https://scikit-learn.org/stable/modules/neighbors.html),915.0,+81/-134,0.001,44.8,32.2,29.37,139.84,0.193,✔️,0.0,False,CPU
-52,📏,Baseline,[KNN (default)](https://scikit-learn.org/stable/modules/neighbors.html),601.0,+106/-200,0.0,51.34,47.51,43.9,0.15,0.023,✔️,0.0,False,CPU
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-#,Type,TypeName,Model,Elo [⬆️],Elo 95% CI,Score [⬆️],Rank [⬇️],Harmonic Rank [⬇️],Improvability (%) [⬇️],Median Train Time (s/1K) [⬇️],Median Predict Time (s/1K) [⬇️],Verified,Imputed (%) [⬇️],Imputed,Hardware
-0,📊,Reference Pipeline,"[AutoGluon 1.4 (extreme, 4h)](https://arxiv.org/abs/2003.06505)",1968.0,+156/-62,0.906,4.96,2.42,2.212,275.07,2.448,✔️,0.0,False,GPU
-1,📊,Reference Pipeline,"[AutoGluon 1.4 (best, 4h)](https://arxiv.org/abs/2003.06505)",1905.0,+178/-66,0.854,6.38,2.7,2.49,325.91,2.156,✔️,0.0,False,CPU
-2,🌳,Tree-based,[CatBoost (tuned + ensembled)](https://arxiv.org/abs/1706.09516),1761.0,+143/-87,0.637,11.0,5.87,4.725,619.15,0.198,✔️,0.0,False,CPU
-3,🌳,Tree-based,[CatBoost (tuned)](https://arxiv.org/abs/1706.09516),1755.0,+146/-82,0.642,11.22,4.87,5.018,619.15,0.016,✔️,0.0,False,CPU
-4,🧠🔁,Neural Network,[RealMLP (tuned + ensembled)](https://arxiv.org/abs/2407.04491),1753.0,+113/-39,0.582,11.32,8.0,5.44,1633.8,2.053,✔️,0.0,False,GPU
-5,🌳,Tree-based,[CatBoost (default)](https://arxiv.org/abs/1706.09516),1738.0,+125/-77,0.636,11.91,5.47,4.763,2.21,0.025,✔️,0.0,False,CPU
-6,🌳,Tree-based,[XGBoost (tuned + ensembled)](https://arxiv.org/abs/1603.02754),1720.0,+153/-91,0.549,12.65,6.95,7.508,110.13,0.386,✔️,0.0,False,CPU
-7,🌳,Tree-based,[LightGBM (tuned + ensembled)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1703.0,+149/-82,0.529,13.35,8.51,7.923,86.85,0.668,✔️,0.0,False,CPU
-8,🧠🔁,Neural Network,[TabM (tuned + ensembled)](https://arxiv.org/abs/2410.24210),1681.0,+192/-136,0.518,14.32,5.6,7.27,804.65,0.71,✔️,0.0,False,GPU
-9,🧠🔁,Neural Network,[ModernNCA (tuned + ensembled)](https://arxiv.org/abs/2407.03257),1679.0,+157/-141,0.551,14.42,7.11,6.907,2139.17,6.41,✔️,0.0,False,GPU
-10,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned + ensembled)](https://arxiv.org/abs/2511.08667),1660.0,+212/-122,0.491,15.26,5.39,8.381,842.24,15.119,✔️,0.0,False,GPU
-11,🧠🔁,Neural Network,[RealMLP (tuned)](https://arxiv.org/abs/2407.04491),1652.0,+126/-66,0.386,15.63,8.8,7.028,1633.8,0.088,✔️,0.0,False,GPU
-12,🌳,Tree-based,[XGBoost (tuned)](https://arxiv.org/abs/1603.02754),1642.0,+124/-79,0.427,16.1,11.52,8.376,110.13,0.061,✔️,0.0,False,CPU
-13,🧠🔁,Neural Network,[TabM (tuned)](https://arxiv.org/abs/2410.24210),1626.0,+199/-159,0.465,16.9,6.3,7.978,804.65,0.063,✔️,0.0,False,GPU
-14,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned)](https://arxiv.org/abs/2511.08667),1611.0,+198/-117,0.424,17.63,6.84,9.033,842.24,1.465,✔️,0.0,False,GPU
-15,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (default)](https://arxiv.org/abs/2511.08667),1584.0,+160/-128,0.421,18.93,7.96,8.63,2.3,0.896,✔️,0.0,False,GPU
-16,🌳,Tree-based,[LightGBM (tuned)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1580.0,+164/-90,0.331,19.15,12.14,9.74,86.85,0.078,✔️,0.0,False,CPU
-17,🧠⚡,Foundation Model,[TabICL (default)](https://arxiv.org/abs/2502.05564),1564.0,+171/-168,0.425,19.96,8.43,9.211,8.53,3.578,✔️,0.0,False,GPU
-18,🧠🔁,Neural Network,[ModernNCA (tuned)](https://arxiv.org/abs/2407.03257),1552.0,+127/-86,0.26,20.58,12.46,9.782,2139.17,0.349,✔️,0.0,False,GPU
-19,🧠⚡,Foundation Model,[TabDPT (tuned + ensembled)](https://arxiv.org/abs/2410.18164),1536.0,+179/-160,0.353,21.41,7.55,9.019,4860.88,475.791,✔️,0.0,False,GPU
-20,🧠🔁,Neural Network,[TorchMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1528.0,+96/-114,0.254,21.81,14.53,9.12,1156.69,1.558,✔️,0.0,False,CPU
-21,❓,Other,[xRFM (tuned + ensembled)](https://arxiv.org/abs/2508.10053),1491.0,+143/-105,0.199,23.77,15.23,10.678,572.82,1.935,✔️,0.0,False,GPU
-22,🌳,Tree-based,[EBM (tuned + ensembled)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1481.0,+125/-108,0.186,24.33,18.02,12.87,270.2,0.192,✔️,0.0,False,CPU
-23,🌳,Tree-based,[XGBoost (default)](https://arxiv.org/abs/1603.02754),1464.0,+128/-144,0.233,25.26,13.72,10.861,0.49,0.053,✔️,0.0,False,CPU
-24,❓,Other,[xRFM (tuned)](https://arxiv.org/abs/2508.10053),1458.0,+131/-115,0.165,25.56,19.35,12.698,572.82,0.109,✔️,0.0,False,GPU
-25,🧠🔁,Neural Network,[TabM (default)](https://arxiv.org/abs/2410.24210),1454.0,+159/-177,0.246,25.8,14.65,10.49,5.5,0.074,✔️,0.0,False,GPU
-26,🧠🔁,Neural Network,[FastaiMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1432.0,+106/-131,0.127,26.99,20.72,11.432,371.59,2.386,✔️,0.0,False,CPU
-27,🧠🔁,Neural Network,[RealMLP (default)](https://arxiv.org/abs/2407.04491),1431.0,+85/-63,0.083,27.06,23.85,10.923,6.41,0.247,✔️,0.0,False,GPU
-28,🧠⚡,Foundation Model,[BetaTabPFN (default)](https://arxiv.org/abs/2502.02527),1418.0,+125/-137,0.143,27.73,20.28,13.96,96.61,0.754,➖,0.0,False,GPU
-29,🌳,Tree-based,[EBM (tuned)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1407.0,+128/-104,0.093,28.33,24.18,13.997,270.2,0.015,✔️,0.0,False,CPU
-30,🧠🔁,Neural Network,[TorchMLP (tuned)](https://arxiv.org/abs/2003.06505),1380.0,+98/-128,0.072,29.77,23.63,11.531,1156.69,0.054,✔️,0.0,False,CPU
-31,🧠⚡,Foundation Model,[TabDPT (tuned)](https://arxiv.org/abs/2410.18164),1373.0,+134/-137,0.093,30.18,18.82,12.762,4860.88,42.641,✔️,0.0,False,GPU
-32,🌳,Tree-based,[EBM (default)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1363.0,+130/-112,0.056,30.7,26.58,15.831,1.07,0.018,✔️,0.0,False,CPU
-33,🌳,Tree-based,[LightGBM (default)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1344.0,+100/-140,0.076,31.68,28.34,12.461,0.29,0.033,✔️,0.0,False,CPU
-34,🌳,Tree-based,[RandomForest (tuned + ensembled)](https://link.springer.com/article/10.1023/A:1010933404324),1321.0,+50/-60,0.002,32.85,30.95,14.148,42.95,0.226,✔️,0.0,False,CPU
-35,🧠🔁,Neural Network,[ModernNCA (default)](https://arxiv.org/abs/2407.03257),1314.0,+91/-87,0.009,33.16,29.98,13.953,8.34,0.25,✔️,0.0,False,GPU
-36,🧠⚡,Foundation Model,[SAP-RPT-OSS (default)](https://arxiv.org/abs/2506.10707),1306.0,+69/-110,0.012,33.6,30.5,15.989,16.41,16.24,➖,0.0,False,GPU
-37,🧠⚡,Foundation Model,[TabDPT (default)](https://arxiv.org/abs/2410.18164),1283.0,+174/-189,0.046,34.7,21.0,17.019,47.03,45.876,✔️,0.0,False,GPU
-38,🌳,Tree-based,[RandomForest (tuned)](https://link.springer.com/article/10.1023/A:1010933404324),1281.0,+74/-73,0.005,34.82,30.93,15.128,42.95,0.021,✔️,0.0,False,CPU
-39,🌳,Tree-based,[ExtraTrees (tuned + ensembled)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1280.0,+61/-90,0.0,34.88,32.44,13.457,40.36,0.318,✔️,0.0,False,CPU
-40,🧠🔁,Neural Network,[FastaiMLP (tuned)](https://arxiv.org/abs/2003.06505),1278.0,+82/-120,0.037,34.98,29.62,15.031,371.59,0.102,✔️,0.0,False,CPU
-41,🧠🔁,Neural Network,[TorchMLP (default)](https://arxiv.org/abs/2003.06505),1224.0,+69/-95,0.0,37.47,35.73,15.173,1.86,0.046,✔️,0.0,False,CPU
-42,🌳,Tree-based,[ExtraTrees (tuned)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1217.0,+64/-77,0.0,37.8,36.02,15.174,40.36,0.028,✔️,0.0,False,CPU
-43,🧠🔁,Neural Network,[FastaiMLP (default)](https://arxiv.org/abs/2003.06505),1205.0,+135/-218,0.043,38.31,32.73,18.046,1.52,0.115,✔️,0.0,False,CPU
-44,📏,Baseline,[Linear (tuned + ensembled)](https://scikit-learn.org/stable/modules/linear_model.html),1159.0,+148/-233,0.008,40.24,36.0,24.034,43.64,0.085,✔️,0.0,False,CPU
-45,📏,Baseline,[KNN (tuned + ensembled)](https://scikit-learn.org/stable/modules/neighbors.html),1136.0,+102/-192,0.011,41.16,32.1,20.729,513.06,78.02,✔️,0.0,False,CPU
-46,📏,Baseline,[Linear (tuned)](https://scikit-learn.org/stable/modules/linear_model.html),1110.0,+167/-222,0.005,42.18,38.76,25.027,43.64,0.022,✔️,0.0,False,CPU
-47,🌳,Tree-based,[RandomForest (default)](https://link.springer.com/article/10.1023/A:1010933404324),1000.0,+90/-206,0.0,45.8,45.01,22.275,0.12,0.014,✔️,0.0,False,CPU
-48,📏,Baseline,[Linear (default)](https://scikit-learn.org/stable/modules/linear_model.html),978.0,+135/-218,0.0,46.42,44.9,26.73,0.22,0.024,✔️,0.0,False,CPU
-49,❓,Other,[xRFM (default)](https://arxiv.org/abs/2508.10053),974.0,+201/-459,0.025,46.53,40.56,28.513,2.62,0.186,✔️,0.0,False,GPU
-50,🌳,Tree-based,[ExtraTrees (default)](https://link.springer.com/article/10.1007/s10994-006-6226-1),917.0,+105/-246,0.0,47.96,47.47,24.142,0.1,0.021,✔️,0.0,False,CPU
-51,🧠⚡,Foundation Model,[TabFlex (default)](https://arxiv.org/abs/2506.05584),915.0,+91/-188,0.0,48.01,47.21,30.352,0.24,0.036,➖,0.0,False,GPU
-52,📏,Baseline,[KNN (tuned)](https://scikit-learn.org/stable/modules/neighbors.html),878.0,+76/-122,0.0,48.81,48.49,27.794,513.06,2.568,✔️,0.0,False,CPU
-53,📏,Baseline,[KNN (default)](https://scikit-learn.org/stable/modules/neighbors.html),511.0,+107/-401,0.0,53.27,53.24,45.591,0.11,0.087,✔️,0.0,False,CPU
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diff --git a/data/imputation_no/splits_all/tasks_binary/datasets_small/website_leaderboard.csv b/data/imputation_no/splits_all/tasks_binary/datasets_small/website_leaderboard.csv
deleted file mode 100644
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-#,Type,TypeName,Model,Elo [⬆️],Elo 95% CI,Score [⬆️],Rank [⬇️],Harmonic Rank [⬇️],Improvability (%) [⬇️],Median Train Time (s/1K) [⬇️],Median Predict Time (s/1K) [⬇️],Verified,Imputed (%) [⬇️],Imputed,Hardware
-0,📊,Reference Pipeline,"[AutoGluon 1.4 (extreme, 4h)](https://arxiv.org/abs/2003.06505)",1579.0,+110/-76,0.73,8.69,3.35,7.361,593.57,8.084,✔️,0.0,False,GPU
-1,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (default)](https://arxiv.org/abs/2511.08667),1578.0,+97/-57,0.767,8.74,4.21,6.542,5.96,0.554,✔️,0.0,False,GPU
-2,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned + ensembled)](https://arxiv.org/abs/2511.08667),1572.0,+145/-68,0.741,8.94,3.22,5.104,2052.28,8.252,✔️,0.0,False,GPU
-3,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned)](https://arxiv.org/abs/2511.08667),1545.0,+131/-56,0.703,9.95,3.82,6.409,2052.28,1.266,✔️,0.0,False,GPU
-4,🧠🔁,Neural Network,[RealMLP (tuned + ensembled)](https://arxiv.org/abs/2407.04491),1433.0,+79/-50,0.441,15.09,9.43,12.254,2950.72,15.595,✔️,0.0,False,GPU
-5,🧠🔁,Neural Network,[TabM (tuned + ensembled)](https://arxiv.org/abs/2410.24210),1423.0,+84/-57,0.412,15.62,8.49,12.402,2457.54,1.658,✔️,0.0,False,GPU
-6,📊,Reference Pipeline,"[AutoGluon 1.4 (best, 4h)](https://arxiv.org/abs/2003.06505)",1412.0,+87/-69,0.411,16.17,9.22,11.938,1921.63,1.718,✔️,0.0,False,CPU
-7,🧠⚡,Foundation Model,[TabDPT (tuned + ensembled)](https://arxiv.org/abs/2410.18164),1402.0,+83/-72,0.441,16.75,5.56,9.277,5351.68,268.579,✔️,0.0,False,GPU
-8,🧠⚡,Foundation Model,[BetaTabPFN (default)](https://arxiv.org/abs/2502.02527),1389.0,+81/-66,0.442,17.46,7.88,14.196,317.91,1.983,➖,0.0,False,GPU
-9,🧠⚡,Foundation Model,[TabDPT (tuned)](https://arxiv.org/abs/2410.18164),1368.0,+83/-73,0.383,18.62,5.64,10.087,5351.68,37.621,✔️,0.0,False,GPU
-10,🌳,Tree-based,[LightGBM (tuned + ensembled)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1364.0,+49/-38,0.304,18.85,12.83,14.268,512.57,1.18,✔️,0.0,False,CPU
-11,🧠🔁,Neural Network,[TabM (tuned)](https://arxiv.org/abs/2410.24210),1359.0,+84/-59,0.317,19.15,10.56,13.405,2457.54,0.178,✔️,0.0,False,GPU
-12,🌳,Tree-based,[LightGBM (tuned)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1332.0,+44/-34,0.233,20.79,14.54,14.714,512.57,0.243,✔️,0.0,False,CPU
-13,🧠🔁,Neural Network,[RealMLP (tuned)](https://arxiv.org/abs/2407.04491),1329.0,+78/-60,0.246,20.93,10.42,14.141,2950.72,1.225,✔️,0.0,False,GPU
-14,🧠🔁,Neural Network,[ModernNCA (tuned)](https://arxiv.org/abs/2407.03257),1318.0,+88/-70,0.235,21.62,9.19,14.237,4806.04,0.512,✔️,0.0,False,GPU
-15,🌳,Tree-based,[CatBoost (tuned + ensembled)](https://arxiv.org/abs/1706.09516),1310.0,+52/-43,0.217,22.11,15.1,15.327,1096.5,0.584,✔️,0.0,False,CPU
-16,🌳,Tree-based,[CatBoost (default)](https://arxiv.org/abs/1706.09516),1308.0,+62/-46,0.233,22.19,14.15,15.265,4.81,0.08,✔️,0.0,False,CPU
-17,🧠⚡,Foundation Model,[SAP-RPT-OSS (default)](https://arxiv.org/abs/2506.10707),1308.0,+70/-72,0.341,22.23,8.05,15.885,9.05,1.763,➖,0.0,False,GPU
-18,🌳,Tree-based,[CatBoost (tuned)](https://arxiv.org/abs/1706.09516),1304.0,+53/-43,0.216,22.45,15.42,15.334,1096.5,0.074,✔️,0.0,False,CPU
-19,🧠⚡,Foundation Model,[TabDPT (default)](https://arxiv.org/abs/2410.18164),1295.0,+88/-75,0.322,22.98,7.75,13.079,51.83,43.615,✔️,0.0,False,GPU
-20,❓,Other,[xRFM (tuned + ensembled)](https://arxiv.org/abs/2508.10053),1289.0,+50/-68,0.207,23.38,12.61,15.283,711.84,2.983,✔️,0.0,False,GPU
-21,🌳,Tree-based,[XGBoost (tuned + ensembled)](https://arxiv.org/abs/1603.02754),1287.0,+46/-42,0.195,23.47,15.89,15.743,693.49,1.398,✔️,0.0,False,CPU
-22,🧠🔁,Neural Network,[TabM (default)](https://arxiv.org/abs/2410.24210),1277.0,+68/-60,0.243,24.1,13.14,16.187,10.08,0.152,✔️,0.0,False,GPU
-23,🧠🔁,Neural Network,[ModernNCA (tuned + ensembled)](https://arxiv.org/abs/2407.03257),1276.0,+112/-108,0.286,24.17,9.59,15.532,4806.04,8.461,✔️,0.0,False,GPU
-24,🌳,Tree-based,[EBM (tuned + ensembled)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1266.0,+47/-48,0.158,24.82,15.22,16.479,1634.54,0.422,✔️,0.0,False,CPU
-25,🧠🔁,Neural Network,[ModernNCA (default)](https://arxiv.org/abs/2407.03257),1264.0,+60/-64,0.198,24.94,11.88,16.81,14.37,0.334,✔️,0.0,False,GPU
-26,🌳,Tree-based,[XGBoost (tuned)](https://arxiv.org/abs/1603.02754),1263.0,+41/-34,0.139,24.97,16.55,16.108,693.49,0.194,✔️,0.0,False,CPU
-27,❓,Other,[xRFM (tuned)](https://arxiv.org/abs/2508.10053),1262.0,+52/-62,0.169,25.06,12.79,16.239,711.84,0.162,✔️,0.0,False,GPU
-28,🧠🔁,Neural Network,[TorchMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1257.0,+81/-56,0.157,25.34,16.93,15.403,2665.36,2.619,✔️,0.0,False,CPU
-29,🌳,Tree-based,[EBM (tuned)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1242.0,+49/-49,0.118,26.26,14.95,17.014,1634.54,0.054,✔️,0.0,False,CPU
-30,🧠🔁,Neural Network,[FastaiMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1222.0,+60/-72,0.156,27.55,15.83,17.306,644.55,5.974,✔️,0.0,False,CPU
-31,🌳,Tree-based,[EBM (default)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1221.0,+51/-54,0.137,27.6,15.68,17.733,7.32,0.054,✔️,0.0,False,CPU
-32,🧠🔁,Neural Network,[RealMLP (default)](https://arxiv.org/abs/2407.04491),1219.0,+55/-50,0.114,27.71,16.67,16.552,10.89,2.249,✔️,0.0,False,GPU
-33,🧠🔁,Neural Network,[TorchMLP (tuned)](https://arxiv.org/abs/2003.06505),1184.0,+72/-49,0.073,29.91,19.12,17.523,2665.36,0.143,✔️,0.0,False,CPU
-34,🧠🔁,Neural Network,[FastaiMLP (tuned)](https://arxiv.org/abs/2003.06505),1172.0,+63/-77,0.066,30.61,18.16,18.673,644.55,0.398,✔️,0.0,False,CPU
-35,🌳,Tree-based,[ExtraTrees (tuned + ensembled)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1166.0,+64/-81,0.086,30.96,19.99,20.037,203.15,0.968,✔️,0.0,False,CPU
-36,🌳,Tree-based,[XGBoost (default)](https://arxiv.org/abs/1603.02754),1162.0,+59/-57,0.056,31.26,23.37,18.81,1.94,0.121,✔️,0.0,False,CPU
-37,🌳,Tree-based,[LightGBM (default)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1132.0,+45/-52,0.032,33.0,27.65,19.243,2.44,0.121,✔️,0.0,False,CPU
-38,🌳,Tree-based,[ExtraTrees (tuned)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1131.0,+60/-76,0.054,33.09,21.73,20.959,203.15,0.091,✔️,0.0,False,CPU
-39,🌳,Tree-based,[RandomForest (tuned + ensembled)](https://link.springer.com/article/10.1023/A:1010933404324),1107.0,+53/-85,0.048,34.49,21.37,21.684,484.22,1.025,✔️,0.0,False,CPU
-40,🧠⚡,Foundation Model,[TabFlex (default)](https://arxiv.org/abs/2506.05584),1073.0,+108/-128,0.134,36.37,18.98,23.536,1.3,0.15,➖,0.0,False,GPU
-41,🌳,Tree-based,[RandomForest (tuned)](https://link.springer.com/article/10.1023/A:1010933404324),1073.0,+51/-83,0.024,36.4,23.97,22.305,484.22,0.086,✔️,0.0,False,CPU
-42,🧠🔁,Neural Network,[TorchMLP (default)](https://arxiv.org/abs/2003.06505),1055.0,+60/-79,0.02,37.33,26.07,22.252,9.39,0.13,✔️,0.0,False,CPU
-43,📏,Baseline,[Linear (tuned + ensembled)](https://scikit-learn.org/stable/modules/linear_model.html),1020.0,+89/-134,0.073,39.13,24.1,28.077,278.97,0.873,✔️,0.0,False,CPU
-44,🧠🔁,Neural Network,[FastaiMLP (default)](https://arxiv.org/abs/2003.06505),1012.0,+77/-84,0.005,39.52,23.1,23.004,2.97,0.388,✔️,0.0,False,CPU
-45,🌳,Tree-based,[RandomForest (default)](https://link.springer.com/article/10.1023/A:1010933404324),1000.0,+56/-111,0.018,40.12,32.28,25.235,0.42,0.041,✔️,0.0,False,CPU
-46,📏,Baseline,[Linear (tuned)](https://scikit-learn.org/stable/modules/linear_model.html),998.0,+96/-137,0.053,40.21,25.22,28.642,278.97,0.103,✔️,0.0,False,CPU
-47,📏,Baseline,[KNN (tuned + ensembled)](https://scikit-learn.org/stable/modules/neighbors.html),988.0,+75/-112,0.019,40.66,28.13,25.787,90.71,1.623,✔️,0.0,False,CPU
-48,❓,Other,[xRFM (default)](https://arxiv.org/abs/2508.10053),986.0,+81/-107,0.02,40.77,32.62,25.835,3.71,0.919,✔️,0.0,False,GPU
-49,🌳,Tree-based,[ExtraTrees (default)](https://link.springer.com/article/10.1007/s10994-006-6226-1),965.0,+80/-126,0.015,41.74,34.42,26.537,0.33,0.043,✔️,0.0,False,CPU
-50,📏,Baseline,[Linear (default)](https://scikit-learn.org/stable/modules/linear_model.html),953.0,+88/-165,0.034,42.25,27.54,30.687,1.48,0.139,✔️,0.0,False,CPU
-51,📏,Baseline,[KNN (tuned)](https://scikit-learn.org/stable/modules/neighbors.html),922.0,+80/-143,0.001,43.51,28.3,30.058,90.71,0.125,✔️,0.0,False,CPU
-52,📏,Baseline,[KNN (default)](https://scikit-learn.org/stable/modules/neighbors.html),616.0,+110/-170,0.0,50.94,45.74,43.18,0.22,0.02,✔️,0.0,False,CPU
diff --git a/data/imputation_no/splits_all/tasks_binary/datasets_small/winrate_matrix.png.zip b/data/imputation_no/splits_all/tasks_binary/datasets_small/winrate_matrix.png.zip
deleted file mode 100644
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--- a/data/imputation_no/splits_all/tasks_binary/datasets_small/winrate_matrix.png.zip
+++ /dev/null
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deleted file mode 100644
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diff --git a/data/imputation_no/splits_all/tasks_binary/datasets_tabpfn/pareto_front_improvability_vs_time_infer.png.zip b/data/imputation_no/splits_all/tasks_binary/datasets_tabpfn/pareto_front_improvability_vs_time_infer.png.zip
deleted file mode 100644
index cb895c193064b01ed66377d90db7ffb980380fd1..0000000000000000000000000000000000000000
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deleted file mode 100644
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diff --git a/data/imputation_no/splits_all/tasks_binary/datasets_tabpfn/tuning-impact-elo.png.zip b/data/imputation_no/splits_all/tasks_binary/datasets_tabpfn/tuning-impact-elo.png.zip
deleted file mode 100644
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diff --git a/data/imputation_no/splits_all/tasks_binary/datasets_tabpfn/website_leaderboard.csv b/data/imputation_no/splits_all/tasks_binary/datasets_tabpfn/website_leaderboard.csv
deleted file mode 100644
index 44a8f600299a84276935de595a073267406f6fbb..0000000000000000000000000000000000000000
--- a/data/imputation_no/splits_all/tasks_binary/datasets_tabpfn/website_leaderboard.csv
+++ /dev/null
@@ -1,60 +0,0 @@
-#,Type,TypeName,Model,Elo [⬆️],Elo 95% CI,Score [⬆️],Rank [⬇️],Harmonic Rank [⬇️],Improvability (%) [⬇️],Median Train Time (s/1K) [⬇️],Median Predict Time (s/1K) [⬇️],Verified,Imputed (%) [⬇️],Imputed,Hardware
-0,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (default)](https://arxiv.org/abs/2511.08667),1599.0,+90/-55,0.723,10.53,5.5,7.231,5.52,0.529,✔️,0.0,False,GPU
-1,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned + ensembled)](https://arxiv.org/abs/2511.08667),1587.0,+114/-70,0.683,11.08,4.49,5.873,2046.25,8.114,✔️,0.0,False,GPU
-2,📊,Reference Pipeline,"[AutoGluon 1.4 (extreme, 4h)](https://arxiv.org/abs/2003.06505)",1583.0,+88/-56,0.658,11.25,4.69,8.229,592.15,8.082,✔️,0.0,False,GPU
-3,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned)](https://arxiv.org/abs/2511.08667),1567.0,+106/-65,0.656,11.95,4.83,7.134,2046.25,1.254,✔️,0.0,False,GPU
-4,🧠🔁,Neural Network,[Mitra (default)](https://arxiv.org/abs/2510.21204),1509.0,+91/-59,0.583,14.91,5.98,10.778,144.27,3.772,✔️,0.0,False,GPU
-5,🧠⚡,Foundation Model,[TabPFNv2 (tuned + ensembled)](https://www.nature.com/articles/s41586-024-08328-6),1495.0,+80/-55,0.508,15.65,6.32,10.726,3445.6,51.274,✔️,0.0,False,GPU
-6,🧠🔁,Neural Network,[LimiX (default)](https://arxiv.org/abs/2509.03505),1486.0,+98/-78,0.555,16.17,5.79,11.342,3.76,0.527,➖,0.0,False,GPU
-7,🧠⚡,Foundation Model,[TabICL (default)](https://arxiv.org/abs/2502.05564),1478.0,+80/-66,0.489,16.63,6.0,10.261,8.06,1.714,✔️,0.0,False,GPU
-8,🧠🔁,Neural Network,[RealMLP (tuned + ensembled)](https://arxiv.org/abs/2407.04491),1441.0,+65/-51,0.377,18.88,11.78,13.189,2879.46,14.626,✔️,0.0,False,GPU
-9,🧠🔁,Neural Network,[TabM (tuned + ensembled)](https://arxiv.org/abs/2410.24210),1436.0,+74/-57,0.355,19.16,10.11,13.231,2379.18,1.595,✔️,0.0,False,GPU
-10,🧠⚡,Foundation Model,[BetaTabPFN (default)](https://arxiv.org/abs/2502.02527),1429.0,+70/-59,0.403,19.6,9.45,14.468,316.0,1.931,➖,0.0,False,GPU
-11,🧠⚡,Foundation Model,[TabDPT (tuned + ensembled)](https://arxiv.org/abs/2410.18164),1418.0,+85/-67,0.384,20.3,6.67,10.056,5319.2,249.314,✔️,0.0,False,GPU
-12,📊,Reference Pipeline,"[AutoGluon 1.4 (best, 4h)](https://arxiv.org/abs/2003.06505)",1417.0,+77/-58,0.341,20.36,12.1,12.945,1828.68,1.648,✔️,0.0,False,CPU
-13,🧠⚡,Foundation Model,[TabPFNv2 (tuned)](https://www.nature.com/articles/s41586-024-08328-6),1414.0,+107/-75,0.401,20.53,6.55,13.459,3445.6,0.995,✔️,0.0,False,GPU
-14,🧠⚡,Foundation Model,[TabDPT (tuned)](https://arxiv.org/abs/2410.18164),1398.0,+105/-70,0.362,21.58,6.73,10.683,5319.2,29.488,✔️,0.0,False,GPU
-15,🧠🔁,Neural Network,[TabM (tuned)](https://arxiv.org/abs/2410.24210),1379.0,+86/-58,0.269,22.84,12.52,14.209,2379.18,0.176,✔️,0.0,False,GPU
-16,🌳,Tree-based,[LightGBM (tuned + ensembled)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1374.0,+44/-43,0.233,23.14,15.56,15.267,449.53,1.149,✔️,0.0,False,CPU
-17,🧠⚡,Foundation Model,[TabPFNv2 (default)](https://www.nature.com/articles/s41586-024-08328-6),1371.0,+97/-83,0.393,23.35,8.81,15.549,3.73,0.488,✔️,0.0,False,GPU
-18,🧠🔁,Neural Network,[RealMLP (tuned)](https://arxiv.org/abs/2407.04491),1351.0,+65/-52,0.22,24.7,12.84,14.939,2879.46,0.944,✔️,0.0,False,GPU
-19,🧠🔁,Neural Network,[ModernNCA (tuned)](https://arxiv.org/abs/2407.03257),1346.0,+63/-58,0.227,25.06,10.58,14.868,4575.49,0.51,✔️,0.0,False,GPU
-20,🌳,Tree-based,[LightGBM (tuned)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1345.0,+38/-37,0.172,25.11,17.55,15.693,449.53,0.215,✔️,0.0,False,CPU
-21,🌳,Tree-based,[CatBoost (default)](https://arxiv.org/abs/1706.09516),1326.0,+61/-49,0.187,26.43,16.97,16.201,4.7,0.08,✔️,0.0,False,CPU
-22,🧠⚡,Foundation Model,[TabDPT (default)](https://arxiv.org/abs/2410.18164),1325.0,+106/-80,0.304,26.47,9.08,13.696,51.44,43.709,✔️,0.0,False,GPU
-23,🧠⚡,Foundation Model,[SAP-RPT-OSS (default)](https://arxiv.org/abs/2506.10707),1323.0,+83/-71,0.282,26.63,10.3,16.884,8.81,1.55,➖,0.0,False,GPU
-24,🌳,Tree-based,[CatBoost (tuned + ensembled)](https://arxiv.org/abs/1706.09516),1322.0,+56/-53,0.151,26.66,18.33,16.332,1081.93,0.556,✔️,0.0,False,CPU
-25,🌳,Tree-based,[CatBoost (tuned)](https://arxiv.org/abs/1706.09516),1316.0,+55/-43,0.16,27.12,19.39,16.356,1081.93,0.074,✔️,0.0,False,CPU
-26,🧠🔁,Neural Network,[TabM (default)](https://arxiv.org/abs/2410.24210),1307.0,+67/-67,0.213,27.72,15.01,16.834,9.81,0.146,✔️,0.0,False,GPU
-27,❓,Other,[xRFM (tuned + ensembled)](https://arxiv.org/abs/2508.10053),1301.0,+53/-58,0.161,28.16,16.07,16.289,592.34,2.767,✔️,0.0,False,GPU
-28,🌳,Tree-based,[XGBoost (tuned + ensembled)](https://arxiv.org/abs/1603.02754),1297.0,+51/-52,0.139,28.42,19.99,16.823,645.57,1.032,✔️,0.0,False,CPU
-29,🧠🔁,Neural Network,[ModernNCA (default)](https://arxiv.org/abs/2407.03257),1294.0,+66/-71,0.17,28.61,13.79,17.396,14.36,0.311,✔️,0.0,False,GPU
-30,🌳,Tree-based,[EBM (tuned + ensembled)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1291.0,+49/-50,0.126,28.86,17.91,17.251,1618.46,0.415,✔️,0.0,False,CPU
-31,🧠🔁,Neural Network,[ModernNCA (tuned + ensembled)](https://arxiv.org/abs/2407.03257),1290.0,+95/-103,0.256,28.89,11.23,16.525,4575.49,8.396,✔️,0.0,False,GPU
-32,🧠🔁,Neural Network,[TorchMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1285.0,+69/-59,0.142,29.28,19.96,16.034,2576.18,2.415,✔️,0.0,False,CPU
-33,❓,Other,[xRFM (tuned)](https://arxiv.org/abs/2508.10053),1278.0,+55/-57,0.128,29.72,15.38,17.23,592.34,0.146,✔️,0.0,False,GPU
-34,🌳,Tree-based,[XGBoost (tuned)](https://arxiv.org/abs/1603.02754),1273.0,+40/-43,0.083,30.07,19.91,17.181,645.57,0.172,✔️,0.0,False,CPU
-35,🌳,Tree-based,[EBM (tuned)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1270.0,+51/-55,0.097,30.3,17.07,17.754,1618.46,0.054,✔️,0.0,False,CPU
-36,🌳,Tree-based,[EBM (default)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1253.0,+54/-58,0.107,31.5,17.3,18.291,6.86,0.052,✔️,0.0,False,CPU
-37,🧠🔁,Neural Network,[FastaiMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1251.0,+67/-78,0.143,31.58,17.4,17.932,618.9,5.468,✔️,0.0,False,CPU
-38,🧠🔁,Neural Network,[RealMLP (default)](https://arxiv.org/abs/2407.04491),1248.0,+55/-56,0.088,31.83,18.75,17.14,10.47,1.987,✔️,0.0,False,GPU
-39,🧠🔁,Neural Network,[TorchMLP (tuned)](https://arxiv.org/abs/2003.06505),1212.0,+63/-51,0.064,34.26,21.93,18.039,2576.18,0.136,✔️,0.0,False,CPU
-40,🧠🔁,Neural Network,[FastaiMLP (tuned)](https://arxiv.org/abs/2003.06505),1204.0,+67/-73,0.058,34.79,20.06,19.257,618.9,0.352,✔️,0.0,False,CPU
-41,🌳,Tree-based,[ExtraTrees (tuned + ensembled)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1182.0,+84/-72,0.065,36.24,23.51,21.134,199.83,0.865,✔️,0.0,False,CPU
-42,🌳,Tree-based,[XGBoost (default)](https://arxiv.org/abs/1603.02754),1172.0,+64/-62,0.028,36.89,29.5,19.93,1.77,0.119,✔️,0.0,False,CPU
-43,🌳,Tree-based,[ExtraTrees (tuned)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1150.0,+78/-74,0.038,38.3,25.55,21.978,199.83,0.086,✔️,0.0,False,CPU
-44,🌳,Tree-based,[LightGBM (default)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1144.0,+40/-44,0.019,38.69,32.62,20.337,2.2,0.12,✔️,0.0,False,CPU
-45,🧠⚡,Foundation Model,[TabFlex (default)](https://arxiv.org/abs/2506.05584),1109.0,+94/-132,0.115,40.84,21.9,23.577,1.24,0.143,➖,0.0,False,GPU
-46,🌳,Tree-based,[RandomForest (tuned + ensembled)](https://link.springer.com/article/10.1023/A:1010933404324),1108.0,+65/-83,0.021,40.89,26.68,23.012,440.56,0.933,✔️,0.0,False,CPU
-47,🧠🔁,Neural Network,[TorchMLP (default)](https://arxiv.org/abs/2003.06505),1085.0,+76/-74,0.02,42.24,29.74,22.701,8.39,0.127,✔️,0.0,False,CPU
-48,🌳,Tree-based,[RandomForest (tuned)](https://link.springer.com/article/10.1023/A:1010933404324),1078.0,+52/-80,0.004,42.65,27.65,23.562,440.56,0.085,✔️,0.0,False,CPU
-49,📏,Baseline,[Linear (tuned + ensembled)](https://scikit-learn.org/stable/modules/linear_model.html),1056.0,+97/-122,0.071,43.86,26.41,28.155,273.27,0.715,✔️,0.0,False,CPU
-50,🧠🔁,Neural Network,[FastaiMLP (default)](https://arxiv.org/abs/2003.06505),1043.0,+79/-88,0.0,44.57,25.84,23.586,2.84,0.381,✔️,0.0,False,CPU
-51,📏,Baseline,[Linear (tuned)](https://scikit-learn.org/stable/modules/linear_model.html),1034.0,+95/-124,0.048,45.02,28.26,28.625,273.27,0.098,✔️,0.0,False,CPU
-52,📏,Baseline,[KNN (tuned + ensembled)](https://scikit-learn.org/stable/modules/neighbors.html),1020.0,+84/-108,0.02,45.71,31.07,26.372,89.68,1.55,✔️,0.0,False,CPU
-53,❓,Other,[xRFM (default)](https://arxiv.org/abs/2508.10053),1002.0,+98/-114,0.008,46.63,37.26,26.979,2.96,0.796,✔️,0.0,False,GPU
-54,🌳,Tree-based,[RandomForest (default)](https://link.springer.com/article/10.1023/A:1010933404324),1000.0,+63/-102,0.004,46.71,39.28,26.621,0.42,0.04,✔️,0.0,False,CPU
-55,📏,Baseline,[Linear (default)](https://scikit-learn.org/stable/modules/linear_model.html),989.0,+101/-141,0.03,47.23,30.44,30.443,1.44,0.138,✔️,0.0,False,CPU
-56,🌳,Tree-based,[ExtraTrees (default)](https://link.springer.com/article/10.1007/s10994-006-6226-1),977.0,+92/-114,0.012,47.78,39.45,27.771,0.31,0.042,✔️,0.0,False,CPU
-57,📏,Baseline,[KNN (tuned)](https://scikit-learn.org/stable/modules/neighbors.html),954.0,+87/-138,0.001,48.79,31.12,30.638,89.68,0.12,✔️,0.0,False,CPU
-58,📏,Baseline,[KNN (default)](https://scikit-learn.org/stable/modules/neighbors.html),640.0,+129/-216,0.0,56.88,50.58,43.946,0.21,0.019,✔️,0.0,False,CPU
diff --git a/data/imputation_no/splits_all/tasks_binary/datasets_tabpfn/winrate_matrix.png.zip b/data/imputation_no/splits_all/tasks_binary/datasets_tabpfn/winrate_matrix.png.zip
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deleted file mode 100644
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-#,Type,TypeName,Model,Elo [⬆️],Elo 95% CI,Score [⬆️],Rank [⬇️],Harmonic Rank [⬇️],Improvability (%) [⬇️],Median Train Time (s/1K) [⬇️],Median Predict Time (s/1K) [⬇️],Verified,Imputed (%) [⬇️],Imputed,Hardware
-0,📊,Reference Pipeline,"[AutoGluon 1.4 (extreme, 4h)](https://arxiv.org/abs/2003.06505)",1669.0,+76/-62,0.799,7.22,3.13,6.694,545.23,6.469,✔️,0.0,False,GPU
-1,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned + ensembled)](https://arxiv.org/abs/2511.08667),1590.0,+84/-75,0.702,9.93,3.23,6.231,2046.25,8.976,✔️,0.0,False,GPU
-2,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned)](https://arxiv.org/abs/2511.08667),1564.0,+79/-69,0.665,10.99,4.06,7.277,2046.25,1.329,✔️,0.0,False,GPU
-3,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (default)](https://arxiv.org/abs/2511.08667),1549.0,+70/-69,0.668,11.64,4.83,7.723,5.76,0.794,✔️,0.0,False,GPU
-4,📊,Reference Pipeline,"[AutoGluon 1.4 (best, 4h)](https://arxiv.org/abs/2003.06505)",1512.0,+75/-57,0.529,13.34,5.33,10.293,1684.49,1.97,✔️,0.0,False,CPU
-5,🧠🔁,Neural Network,[RealMLP (tuned + ensembled)](https://arxiv.org/abs/2407.04491),1497.0,+62/-53,0.491,14.04,8.47,10.95,2879.46,12.49,✔️,0.0,False,GPU
-6,🧠🔁,Neural Network,[TabM (tuned + ensembled)](https://arxiv.org/abs/2410.24210),1470.0,+74/-48,0.438,15.44,7.76,12.209,2466.21,1.502,✔️,0.0,False,GPU
-7,🌳,Tree-based,[LightGBM (tuned + ensembled)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1438.0,+49/-36,0.371,17.15,11.3,13.284,382.05,1.488,✔️,0.0,False,CPU
-8,🧠⚡,Foundation Model,[TabDPT (tuned + ensembled)](https://arxiv.org/abs/2410.18164),1419.0,+76/-55,0.412,18.2,6.28,11.26,4940.61,307.751,✔️,0.0,False,GPU
-9,🧠🔁,Neural Network,[TabM (tuned)](https://arxiv.org/abs/2410.24210),1414.0,+71/-57,0.362,18.46,8.99,13.099,2466.21,0.176,✔️,0.0,False,GPU
-10,🌳,Tree-based,[CatBoost (tuned + ensembled)](https://arxiv.org/abs/1706.09516),1414.0,+54/-46,0.342,18.49,10.72,12.859,1372.94,0.556,✔️,0.0,False,CPU
-11,🧠🔁,Neural Network,[RealMLP (tuned)](https://arxiv.org/abs/2407.04491),1414.0,+58/-47,0.32,18.5,9.62,12.585,2879.46,0.598,✔️,0.0,False,GPU
-12,🌳,Tree-based,[CatBoost (tuned)](https://arxiv.org/abs/1706.09516),1404.0,+58/-44,0.331,19.02,10.17,13.063,1372.94,0.074,✔️,0.0,False,CPU
-13,🌳,Tree-based,[LightGBM (tuned)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1393.0,+41/-34,0.277,19.66,13.6,14.01,382.05,0.254,✔️,0.0,False,CPU
-14,🌳,Tree-based,[XGBoost (tuned + ensembled)](https://arxiv.org/abs/1603.02754),1384.0,+52/-46,0.299,20.21,12.02,14.152,685.87,1.455,✔️,0.0,False,CPU
-15,🌳,Tree-based,[CatBoost (default)](https://arxiv.org/abs/1706.09516),1382.0,+50/-46,0.314,20.34,10.74,13.612,5.72,0.076,✔️,0.0,False,CPU
-16,🧠⚡,Foundation Model,[BetaTabPFN (default)](https://arxiv.org/abs/2502.02527),1374.0,+56/-53,0.341,20.8,10.53,15.45,282.72,1.886,➖,0.0,False,GPU
-17,🧠🔁,Neural Network,[ModernNCA (tuned + ensembled)](https://arxiv.org/abs/2407.03257),1370.0,+87/-81,0.341,21.05,9.2,13.701,4879.89,8.744,✔️,0.0,False,GPU
-18,🧠🔁,Neural Network,[ModernNCA (tuned)](https://arxiv.org/abs/2407.03257),1368.0,+61/-42,0.234,21.16,10.12,13.731,4879.89,0.525,✔️,0.0,False,GPU
-19,🌳,Tree-based,[XGBoost (tuned)](https://arxiv.org/abs/1603.02754),1357.0,+47/-43,0.238,21.77,14.81,14.536,685.87,0.205,✔️,0.0,False,CPU
-20,🧠⚡,Foundation Model,[TabDPT (tuned)](https://arxiv.org/abs/2410.18164),1356.0,+67/-57,0.307,21.86,7.42,12.959,4940.61,41.606,✔️,0.0,False,GPU
-21,❓,Other,[xRFM (tuned + ensembled)](https://arxiv.org/abs/2508.10053),1335.0,+44/-45,0.218,23.1,13.49,15.198,934.1,3.063,✔️,0.0,False,GPU
-22,🌳,Tree-based,[EBM (tuned + ensembled)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1317.0,+44/-35,0.175,24.18,16.09,16.189,2686.11,0.47,✔️,0.0,False,CPU
-23,🧠🔁,Neural Network,[TabM (default)](https://arxiv.org/abs/2410.24210),1313.0,+59/-53,0.246,24.44,13.9,15.854,10.21,0.138,✔️,0.0,False,GPU
-24,🧠🔁,Neural Network,[TorchMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1312.0,+46/-43,0.176,24.47,16.54,15.04,2389.22,2.158,✔️,0.0,False,CPU
-25,🧠⚡,Foundation Model,[SAP-RPT-OSS (default)](https://arxiv.org/abs/2506.10707),1302.0,+58/-72,0.276,25.08,8.55,16.27,13.7,2.033,➖,0.0,False,GPU
-26,❓,Other,[xRFM (tuned)](https://arxiv.org/abs/2508.10053),1293.0,+51/-54,0.167,25.65,14.59,16.694,934.1,0.169,✔️,0.0,False,GPU
-27,🌳,Tree-based,[EBM (tuned)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1279.0,+45/-38,0.117,26.47,17.19,16.916,2686.11,0.054,✔️,0.0,False,CPU
-28,🧠⚡,Foundation Model,[TabDPT (default)](https://arxiv.org/abs/2410.18164),1275.0,+67/-65,0.239,26.72,9.22,16.216,49.21,43.824,✔️,0.0,False,GPU
-29,🧠🔁,Neural Network,[FastaiMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1264.0,+60/-59,0.164,27.4,15.69,17.391,618.9,4.766,✔️,0.0,False,CPU
-30,🌳,Tree-based,[EBM (default)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1251.0,+44/-45,0.121,28.17,18.5,18.133,6.86,0.057,✔️,0.0,False,CPU
-31,🧠🔁,Neural Network,[ModernNCA (default)](https://arxiv.org/abs/2407.03257),1251.0,+46/-45,0.119,28.17,15.89,17.971,14.78,0.346,✔️,0.0,False,GPU
-32,🧠🔁,Neural Network,[RealMLP (default)](https://arxiv.org/abs/2407.04491),1241.0,+40/-36,0.084,28.81,20.01,17.234,10.47,1.707,✔️,0.0,False,GPU
-33,🌳,Tree-based,[XGBoost (default)](https://arxiv.org/abs/1603.02754),1232.0,+48/-52,0.106,29.32,19.69,17.334,1.77,0.117,✔️,0.0,False,CPU
-34,🧠🔁,Neural Network,[TorchMLP (tuned)](https://arxiv.org/abs/2003.06505),1226.0,+47/-39,0.08,29.66,20.33,17.256,2389.22,0.152,✔️,0.0,False,CPU
-35,🌳,Tree-based,[ExtraTrees (tuned + ensembled)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1213.0,+52/-51,0.098,30.45,19.47,18.91,189.76,0.743,✔️,0.0,False,CPU
-36,🧠🔁,Neural Network,[FastaiMLP (tuned)](https://arxiv.org/abs/2003.06505),1194.0,+53/-57,0.071,31.59,19.73,19.231,618.9,0.298,✔️,0.0,False,CPU
-37,🌳,Tree-based,[RandomForest (tuned + ensembled)](https://link.springer.com/article/10.1023/A:1010933404324),1188.0,+64/-56,0.087,31.93,18.98,19.848,323.74,0.743,✔️,0.0,False,CPU
-38,🌳,Tree-based,[LightGBM (default)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1187.0,+48/-39,0.066,31.94,26.71,18.379,1.79,0.12,✔️,0.0,False,CPU
-39,🌳,Tree-based,[ExtraTrees (tuned)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1171.0,+54/-53,0.072,32.9,20.18,20.13,189.76,0.079,✔️,0.0,False,CPU
-40,🌳,Tree-based,[RandomForest (tuned)](https://link.springer.com/article/10.1023/A:1010933404324),1150.0,+60/-57,0.061,34.08,19.24,20.715,323.74,0.076,✔️,0.0,False,CPU
-41,🧠🔁,Neural Network,[TorchMLP (default)](https://arxiv.org/abs/2003.06505),1084.0,+45/-56,0.011,37.55,28.82,21.982,6.83,0.147,✔️,0.0,False,CPU
-42,📏,Baseline,[Linear (tuned + ensembled)](https://scikit-learn.org/stable/modules/linear_model.html),1039.0,+85/-86,0.042,39.73,28.62,29.688,252.58,0.528,✔️,0.0,False,CPU
-43,🧠🔁,Neural Network,[FastaiMLP (default)](https://arxiv.org/abs/2003.06505),1037.0,+64/-66,0.013,39.83,27.44,24.295,2.91,0.368,✔️,0.0,False,CPU
-44,📏,Baseline,[KNN (tuned + ensembled)](https://scikit-learn.org/stable/modules/neighbors.html),1019.0,+66/-94,0.022,40.65,27.31,27.469,139.84,3.615,✔️,0.0,False,CPU
-45,🧠⚡,Foundation Model,[TabFlex (default)](https://arxiv.org/abs/2506.05584),1012.0,+85/-101,0.074,40.95,25.75,28.567,1.11,0.189,➖,0.0,False,GPU
-46,📏,Baseline,[Linear (tuned)](https://scikit-learn.org/stable/modules/linear_model.html),1010.0,+86/-88,0.03,41.07,30.05,30.426,252.58,0.089,✔️,0.0,False,CPU
-47,❓,Other,[xRFM (default)](https://arxiv.org/abs/2508.10053),1006.0,+72/-84,0.027,41.24,33.86,27.299,3.61,0.939,✔️,0.0,False,GPU
-48,🌳,Tree-based,[RandomForest (default)](https://link.springer.com/article/10.1023/A:1010933404324),1000.0,+59/-60,0.01,41.48,35.59,26.755,0.38,0.037,✔️,0.0,False,CPU
-49,🌳,Tree-based,[ExtraTrees (default)](https://link.springer.com/article/10.1007/s10994-006-6226-1),948.0,+69/-70,0.008,43.55,38.13,28.978,0.25,0.041,✔️,0.0,False,CPU
-50,📏,Baseline,[Linear (default)](https://scikit-learn.org/stable/modules/linear_model.html),926.0,+93/-110,0.019,44.32,33.53,33.241,1.29,0.131,✔️,0.0,False,CPU
-51,📏,Baseline,[KNN (tuned)](https://scikit-learn.org/stable/modules/neighbors.html),900.0,+84/-113,0.006,45.19,33.06,33.665,139.84,0.193,✔️,0.0,False,CPU
-52,📏,Baseline,[KNN (default)](https://scikit-learn.org/stable/modules/neighbors.html),563.0,+112/-114,0.0,51.64,48.53,49.526,0.18,0.029,✔️,0.0,False,CPU
diff --git a/data/imputation_no/splits_all/tasks_classification/datasets_all/winrate_matrix.png.zip b/data/imputation_no/splits_all/tasks_classification/datasets_all/winrate_matrix.png.zip
deleted file mode 100644
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-#,Type,TypeName,Model,Elo [⬆️],Elo 95% CI,Score [⬆️],Rank [⬇️],Harmonic Rank [⬇️],Improvability (%) [⬇️],Median Train Time (s/1K) [⬇️],Median Predict Time (s/1K) [⬇️],Verified,Imputed (%) [⬇️],Imputed,Hardware
-0,📊,Reference Pipeline,"[AutoGluon 1.4 (extreme, 4h)](https://arxiv.org/abs/2003.06505)",1931.0,+144/-62,0.908,4.77,2.46,2.178,275.97,2.818,✔️,0.0,False,GPU
-1,📊,Reference Pipeline,"[AutoGluon 1.4 (best, 4h)](https://arxiv.org/abs/2003.06505)",1875.0,+174/-67,0.862,6.0,2.64,2.411,314.17,2.249,✔️,0.0,False,CPU
-2,🌳,Tree-based,[CatBoost (tuned + ensembled)](https://arxiv.org/abs/1706.09516),1710.0,+130/-66,0.624,11.2,6.2,5.406,697.8,0.199,✔️,0.0,False,CPU
-3,🌳,Tree-based,[CatBoost (tuned)](https://arxiv.org/abs/1706.09516),1708.0,+141/-72,0.629,11.28,5.16,5.651,697.8,0.023,✔️,0.0,False,CPU
-4,🌳,Tree-based,[CatBoost (default)](https://arxiv.org/abs/1706.09516),1679.0,+124/-63,0.615,12.45,5.87,5.593,2.44,0.027,✔️,0.0,False,CPU
-5,🌳,Tree-based,[XGBoost (tuned + ensembled)](https://arxiv.org/abs/1603.02754),1675.0,+138/-94,0.546,12.59,7.25,7.874,207.65,0.398,✔️,0.0,False,CPU
-6,🌳,Tree-based,[LightGBM (tuned + ensembled)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1672.0,+146/-74,0.534,12.74,8.35,8.132,93.21,0.758,✔️,0.0,False,CPU
-7,🧠🔁,Neural Network,[RealMLP (tuned + ensembled)](https://arxiv.org/abs/2407.04491),1653.0,+122/-92,0.523,13.57,8.66,7.253,1624.54,1.763,✔️,0.0,False,GPU
-8,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned + ensembled)](https://arxiv.org/abs/2511.08667),1646.0,+220/-128,0.542,13.84,3.83,7.545,783.29,13.79,✔️,0.0,False,GPU
-9,🧠🔁,Neural Network,[ModernNCA (tuned + ensembled)](https://arxiv.org/abs/2407.03257),1626.0,+150/-134,0.537,14.73,7.56,7.556,2338.19,14.248,✔️,0.0,False,GPU
-10,🧠🔁,Neural Network,[TabM (tuned + ensembled)](https://arxiv.org/abs/2410.24210),1605.0,+182/-118,0.466,15.72,6.09,8.633,1398.9,0.645,✔️,0.0,False,GPU
-11,🌳,Tree-based,[XGBoost (tuned)](https://arxiv.org/abs/1603.02754),1602.0,+112/-76,0.435,15.88,11.71,8.689,207.65,0.056,✔️,0.0,False,CPU
-12,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned)](https://arxiv.org/abs/2511.08667),1595.0,+205/-121,0.472,16.2,6.06,8.372,783.29,1.924,✔️,0.0,False,GPU
-13,🧠🔁,Neural Network,[RealMLP (tuned)](https://arxiv.org/abs/2407.04491),1567.0,+131/-91,0.347,17.56,9.51,8.727,1624.54,0.083,✔️,0.0,False,GPU
-14,🌳,Tree-based,[LightGBM (tuned)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1555.0,+169/-78,0.353,18.14,11.67,9.811,93.21,0.087,✔️,0.0,False,CPU
-15,🧠🔁,Neural Network,[TabM (tuned)](https://arxiv.org/abs/2410.24210),1555.0,+193/-149,0.418,18.16,6.83,9.345,1398.9,0.062,✔️,0.0,False,GPU
-16,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (default)](https://arxiv.org/abs/2511.08667),1544.0,+156/-120,0.419,18.73,8.38,9.121,2.3,0.82,✔️,0.0,False,GPU
-17,🧠⚡,Foundation Model,[TabICL (default)](https://arxiv.org/abs/2502.05564),1519.0,+166/-148,0.418,19.98,8.94,9.743,7.51,3.146,✔️,0.0,False,GPU
-18,🧠🔁,Neural Network,[ModernNCA (tuned)](https://arxiv.org/abs/2407.03257),1509.0,+117/-85,0.27,20.49,12.93,10.245,2338.19,0.54,✔️,0.0,False,GPU
-19,🧠⚡,Foundation Model,[TabDPT (tuned + ensembled)](https://arxiv.org/abs/2410.18164),1486.0,+157/-142,0.331,21.69,8.1,9.963,4805.66,461.797,✔️,0.0,False,GPU
-20,🧠🔁,Neural Network,[TorchMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1479.0,+89/-75,0.241,22.09,15.15,10.081,1169.3,1.442,✔️,0.0,False,CPU
-21,🌳,Tree-based,[EBM (tuned + ensembled)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1469.0,+146/-106,0.227,22.59,15.28,12.538,893.93,0.205,✔️,0.0,False,CPU
-22,🌳,Tree-based,[XGBoost (default)](https://arxiv.org/abs/1603.02754),1442.0,+155/-130,0.26,24.09,13.69,10.925,0.47,0.052,✔️,0.0,False,CPU
-23,❓,Other,[xRFM (tuned + ensembled)](https://arxiv.org/abs/2508.10053),1423.0,+130/-132,0.179,25.1,16.19,12.437,709.85,2.929,✔️,0.0,False,GPU
-24,🌳,Tree-based,[EBM (tuned)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1401.0,+160/-106,0.141,26.32,19.93,13.588,893.93,0.016,✔️,0.0,False,CPU
-25,❓,Other,[xRFM (tuned)](https://arxiv.org/abs/2508.10053),1391.0,+131/-130,0.149,26.86,20.37,14.508,709.85,0.19,✔️,0.0,False,GPU
-26,🧠🔁,Neural Network,[TabM (default)](https://arxiv.org/abs/2410.24210),1385.0,+153/-156,0.221,27.19,15.63,12.673,5.67,0.081,✔️,0.0,False,GPU
-27,🧠🔁,Neural Network,[RealMLP (default)](https://arxiv.org/abs/2407.04491),1360.0,+88/-84,0.075,28.56,24.93,13.533,6.98,0.233,✔️,0.0,False,GPU
-28,🧠🔁,Neural Network,[FastaiMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1358.0,+96/-144,0.114,28.68,21.87,14.453,389.62,2.114,✔️,0.0,False,CPU
-29,🧠⚡,Foundation Model,[BetaTabPFN (default)](https://arxiv.org/abs/2502.02527),1351.0,+137/-132,0.129,29.04,21.35,15.914,84.36,0.919,➖,0.0,False,GPU
-30,🧠🔁,Neural Network,[TorchMLP (tuned)](https://arxiv.org/abs/2003.06505),1347.0,+82/-85,0.076,29.26,23.72,12.262,1169.3,0.053,✔️,0.0,False,CPU
-31,🌳,Tree-based,[EBM (default)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1344.0,+128/-104,0.09,29.43,25.34,15.622,2.09,0.019,✔️,0.0,False,CPU
-32,🧠⚡,Foundation Model,[TabDPT (tuned)](https://arxiv.org/abs/2410.18164),1329.0,+118/-122,0.084,30.23,19.57,13.696,4805.66,43.211,✔️,0.0,False,GPU
-33,🌳,Tree-based,[RandomForest (tuned + ensembled)](https://link.springer.com/article/10.1023/A:1010933404324),1329.0,+119/-102,0.062,30.24,22.25,13.691,52.45,0.219,✔️,0.0,False,CPU
-34,🌳,Tree-based,[LightGBM (default)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1294.0,+96/-114,0.068,32.03,28.9,13.707,0.28,0.033,✔️,0.0,False,CPU
-35,🌳,Tree-based,[RandomForest (tuned)](https://link.springer.com/article/10.1023/A:1010933404324),1291.0,+125/-116,0.063,32.21,23.96,14.607,52.45,0.021,✔️,0.0,False,CPU
-36,🧠🔁,Neural Network,[ModernNCA (default)](https://arxiv.org/abs/2407.03257),1284.0,+81/-75,0.009,32.59,29.7,14.625,10.5,0.606,✔️,0.0,False,GPU
-37,🧠⚡,Foundation Model,[SAP-RPT-OSS (default)](https://arxiv.org/abs/2506.10707),1267.0,+66/-87,0.011,33.4,30.6,16.633,14.85,13.554,➖,0.0,False,GPU
-38,🌳,Tree-based,[ExtraTrees (tuned + ensembled)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1263.0,+73/-89,0.026,33.6,30.99,13.747,38.42,0.32,✔️,0.0,False,CPU
-39,🧠⚡,Foundation Model,[TabDPT (default)](https://arxiv.org/abs/2410.18164),1249.0,+123/-152,0.042,34.33,21.7,17.564,46.9,45.623,✔️,0.0,False,GPU
-40,🧠🔁,Neural Network,[FastaiMLP (tuned)](https://arxiv.org/abs/2003.06505),1218.0,+81/-145,0.033,35.79,30.58,17.632,389.62,0.112,✔️,0.0,False,CPU
-41,🌳,Tree-based,[ExtraTrees (tuned)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1204.0,+79/-87,0.012,36.48,34.41,15.534,38.42,0.028,✔️,0.0,False,CPU
-42,🧠🔁,Neural Network,[TorchMLP (default)](https://arxiv.org/abs/2003.06505),1179.0,+64/-71,0.0,37.6,36.01,16.733,1.87,0.046,✔️,0.0,False,CPU
-43,🧠🔁,Neural Network,[FastaiMLP (default)](https://arxiv.org/abs/2003.06505),1145.0,+111/-217,0.038,39.1,33.72,21.37,1.61,0.112,✔️,0.0,False,CPU
-44,📏,Baseline,[Linear (tuned + ensembled)](https://scikit-learn.org/stable/modules/linear_model.html),1101.0,+144/-226,0.007,40.89,36.85,26.799,43.46,0.087,✔️,0.0,False,CPU
-45,📏,Baseline,[KNN (tuned + ensembled)](https://scikit-learn.org/stable/modules/neighbors.html),1066.0,+95/-196,0.009,42.2,33.36,24.389,331.68,44.947,✔️,0.0,False,CPU
-46,📏,Baseline,[Linear (tuned)](https://scikit-learn.org/stable/modules/linear_model.html),1050.0,+152/-240,0.004,42.81,39.55,28.022,43.46,0.021,✔️,0.0,False,CPU
-47,🌳,Tree-based,[RandomForest (default)](https://link.springer.com/article/10.1023/A:1010933404324),1000.0,+102/-176,0.0,44.47,43.32,22.382,0.12,0.013,✔️,0.0,False,CPU
-48,📏,Baseline,[Linear (default)](https://scikit-learn.org/stable/modules/linear_model.html),923.0,+140/-230,0.0,46.71,45.3,29.594,0.2,0.023,✔️,0.0,False,CPU
-49,❓,Other,[xRFM (default)](https://arxiv.org/abs/2508.10053),918.0,+204/-476,0.022,46.86,41.32,31.186,2.8,0.224,✔️,0.0,False,GPU
-50,🌳,Tree-based,[ExtraTrees (default)](https://link.springer.com/article/10.1007/s10994-006-6226-1),884.0,+94/-216,0.0,47.68,47.22,26.748,0.09,0.019,✔️,0.0,False,CPU
-51,🧠⚡,Foundation Model,[TabFlex (default)](https://arxiv.org/abs/2506.05584),858.0,+107/-172,0.0,48.29,47.55,32.966,0.2,0.033,➖,0.0,False,GPU
-52,📏,Baseline,[KNN (tuned)](https://scikit-learn.org/stable/modules/neighbors.html),811.0,+63/-148,0.0,49.23,48.91,32.095,331.68,1.626,✔️,0.0,False,CPU
-53,📏,Baseline,[KNN (default)](https://scikit-learn.org/stable/modules/neighbors.html),448.0,+130/-396,0.0,53.34,53.31,49.299,0.12,0.101,✔️,0.0,False,CPU
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diff --git a/data/imputation_no/splits_all/tasks_classification/datasets_small/website_leaderboard.csv b/data/imputation_no/splits_all/tasks_classification/datasets_small/website_leaderboard.csv
deleted file mode 100644
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-#,Type,TypeName,Model,Elo [⬆️],Elo 95% CI,Score [⬆️],Rank [⬇️],Harmonic Rank [⬇️],Improvability (%) [⬇️],Median Train Time (s/1K) [⬇️],Median Predict Time (s/1K) [⬇️],Verified,Imputed (%) [⬇️],Imputed,Hardware
-0,📊,Reference Pipeline,"[AutoGluon 1.4 (extreme, 4h)](https://arxiv.org/abs/2003.06505)",1616.0,+86/-65,0.75,8.15,3.47,8.323,610.76,8.082,✔️,0.0,False,GPU
-1,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned + ensembled)](https://arxiv.org/abs/2511.08667),1601.0,+96/-84,0.751,8.64,3.07,5.779,2289.05,8.114,✔️,0.0,False,GPU
-2,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (default)](https://arxiv.org/abs/2511.08667),1584.0,+85/-84,0.747,9.25,4.22,7.242,6.07,0.762,✔️,0.0,False,GPU
-3,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned)](https://arxiv.org/abs/2511.08667),1584.0,+81/-69,0.727,9.25,3.63,6.901,2289.05,1.254,✔️,0.0,False,GPU
-4,🧠🔁,Neural Network,[RealMLP (tuned + ensembled)](https://arxiv.org/abs/2407.04491),1466.0,+71/-54,0.473,14.36,8.46,12.288,3422.82,18.936,✔️,0.0,False,GPU
-5,🧠🔁,Neural Network,[TabM (tuned + ensembled)](https://arxiv.org/abs/2410.24210),1444.0,+68/-56,0.423,15.5,8.67,13.504,3170.35,1.694,✔️,0.0,False,GPU
-6,📊,Reference Pipeline,"[AutoGluon 1.4 (best, 4h)](https://arxiv.org/abs/2003.06505)",1434.0,+79/-55,0.401,16.05,8.48,13.125,3143.8,1.884,✔️,0.0,False,CPU
-7,🧠⚡,Foundation Model,[TabDPT (tuned + ensembled)](https://arxiv.org/abs/2410.18164),1413.0,+66/-63,0.434,17.18,5.84,11.74,5271.34,231.986,✔️,0.0,False,GPU
-8,🧠⚡,Foundation Model,[BetaTabPFN (default)](https://arxiv.org/abs/2502.02527),1396.0,+74/-53,0.414,18.1,8.96,15.301,330.95,2.359,➖,0.0,False,GPU
-9,🧠🔁,Neural Network,[TabM (tuned)](https://arxiv.org/abs/2410.24210),1385.0,+61/-63,0.337,18.75,10.23,14.457,3170.35,0.241,✔️,0.0,False,GPU
-10,🌳,Tree-based,[LightGBM (tuned + ensembled)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1383.0,+46/-33,0.304,18.84,13.15,15.141,735.1,1.901,✔️,0.0,False,CPU
-11,🧠🔁,Neural Network,[RealMLP (tuned)](https://arxiv.org/abs/2407.04491),1380.0,+68/-53,0.307,19.03,9.7,13.979,3422.82,1.534,✔️,0.0,False,GPU
-12,🧠⚡,Foundation Model,[TabDPT (tuned)](https://arxiv.org/abs/2410.18164),1378.0,+70/-62,0.382,19.17,6.1,12.71,5271.34,33.986,✔️,0.0,False,GPU
-13,🌳,Tree-based,[LightGBM (tuned)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1357.0,+48/-30,0.244,20.37,14.6,15.526,735.1,0.311,✔️,0.0,False,CPU
-14,🌳,Tree-based,[CatBoost (tuned + ensembled)](https://arxiv.org/abs/1706.09516),1343.0,+46/-38,0.235,21.2,15.06,15.539,1714.62,0.768,✔️,0.0,False,CPU
-15,🧠🔁,Neural Network,[ModernNCA (tuned)](https://arxiv.org/abs/2407.03257),1337.0,+53/-50,0.219,21.56,9.47,14.991,6047.72,0.525,✔️,0.0,False,GPU
-16,🌳,Tree-based,[CatBoost (tuned)](https://arxiv.org/abs/1706.09516),1332.0,+41/-37,0.217,21.88,15.67,15.727,1714.62,0.098,✔️,0.0,False,CPU
-17,🧠⚡,Foundation Model,[SAP-RPT-OSS (default)](https://arxiv.org/abs/2506.10707),1323.0,+78/-75,0.371,22.38,6.81,16.156,13.27,1.624,➖,0.0,False,GPU
-18,❓,Other,[xRFM (tuned + ensembled)](https://arxiv.org/abs/2508.10053),1319.0,+57/-58,0.23,22.62,12.79,16.198,1053.84,3.063,✔️,0.0,False,GPU
-19,🌳,Tree-based,[XGBoost (tuned + ensembled)](https://arxiv.org/abs/1603.02754),1312.0,+47/-43,0.202,23.08,16.06,16.41,797.9,2.228,✔️,0.0,False,CPU
-20,🌳,Tree-based,[CatBoost (default)](https://arxiv.org/abs/1706.09516),1309.0,+53/-39,0.199,23.27,15.65,16.495,7.19,0.118,✔️,0.0,False,CPU
-21,🧠🔁,Neural Network,[ModernNCA (tuned + ensembled)](https://arxiv.org/abs/2407.03257),1306.0,+81/-81,0.265,23.43,10.26,15.914,6047.72,8.744,✔️,0.0,False,GPU
-22,🧠🔁,Neural Network,[TabM (default)](https://arxiv.org/abs/2410.24210),1302.0,+64/-54,0.252,23.68,13.44,17.008,10.78,0.17,✔️,0.0,False,GPU
-23,🌳,Tree-based,[XGBoost (tuned)](https://arxiv.org/abs/1603.02754),1296.0,+45/-40,0.162,24.04,16.49,16.64,797.9,0.353,✔️,0.0,False,CPU
-24,🧠⚡,Foundation Model,[TabDPT (default)](https://arxiv.org/abs/2410.18164),1291.0,+77/-77,0.304,24.33,7.67,15.748,51.44,43.709,✔️,0.0,False,GPU
-25,🌳,Tree-based,[EBM (tuned + ensembled)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1281.0,+47/-40,0.152,24.97,16.5,17.509,3351.28,0.544,✔️,0.0,False,CPU
-26,❓,Other,[xRFM (tuned)](https://arxiv.org/abs/2508.10053),1273.0,+57/-54,0.172,25.47,13.32,17.488,1053.84,0.169,✔️,0.0,False,GPU
-27,🧠🔁,Neural Network,[TorchMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1272.0,+55/-56,0.147,25.54,17.32,16.826,2977.49,2.415,✔️,0.0,False,CPU
-28,🌳,Tree-based,[EBM (tuned)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1252.0,+47/-41,0.108,26.75,16.48,18.121,3351.28,0.064,✔️,0.0,False,CPU
-29,🧠🔁,Neural Network,[ModernNCA (default)](https://arxiv.org/abs/2407.03257),1250.0,+60/-62,0.157,26.9,13.7,19.18,15.54,0.346,✔️,0.0,False,GPU
-30,🧠🔁,Neural Network,[FastaiMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1245.0,+71/-63,0.181,27.19,14.32,18.454,1423.89,9.208,✔️,0.0,False,CPU
-31,🌳,Tree-based,[EBM (default)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1232.0,+57/-48,0.13,27.96,16.99,19.044,8.03,0.059,✔️,0.0,False,CPU
-32,🧠🔁,Neural Network,[RealMLP (default)](https://arxiv.org/abs/2407.04491),1213.0,+46/-40,0.086,29.15,18.8,18.57,14.89,4.433,✔️,0.0,False,GPU
-33,🌳,Tree-based,[ExtraTrees (tuned + ensembled)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1205.0,+78/-71,0.124,29.62,17.28,20.768,399.55,1.466,✔️,0.0,False,CPU
-34,🧠🔁,Neural Network,[TorchMLP (tuned)](https://arxiv.org/abs/2003.06505),1198.0,+46/-53,0.081,30.04,19.49,19.052,2977.49,0.156,✔️,0.0,False,CPU
-35,🧠🔁,Neural Network,[FastaiMLP (tuned)](https://arxiv.org/abs/2003.06505),1193.0,+61/-51,0.084,30.34,17.58,19.813,1423.89,0.749,✔️,0.0,False,CPU
-36,🌳,Tree-based,[XGBoost (default)](https://arxiv.org/abs/1603.02754),1176.0,+43/-48,0.042,31.4,24.7,19.637,2.79,0.238,✔️,0.0,False,CPU
-37,🌳,Tree-based,[ExtraTrees (tuned)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1167.0,+79/-74,0.093,31.92,17.66,21.783,399.55,0.174,✔️,0.0,False,CPU
-38,🌳,Tree-based,[LightGBM (default)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1162.0,+48/-51,0.062,32.22,26.3,20.062,3.15,0.141,✔️,0.0,False,CPU
-39,🌳,Tree-based,[RandomForest (tuned + ensembled)](https://link.springer.com/article/10.1023/A:1010933404324),1152.0,+71/-87,0.096,32.79,18.12,22.06,571.65,1.39,✔️,0.0,False,CPU
-40,🌳,Tree-based,[RandomForest (tuned)](https://link.springer.com/article/10.1023/A:1010933404324),1113.0,+71/-75,0.061,35.01,18.1,22.908,571.65,0.129,✔️,0.0,False,CPU
-41,🧠🔁,Neural Network,[TorchMLP (default)](https://arxiv.org/abs/2003.06505),1061.0,+60/-64,0.015,37.82,27.06,23.869,11.29,0.204,✔️,0.0,False,CPU
-42,🧠⚡,Foundation Model,[TabFlex (default)](https://arxiv.org/abs/2506.05584),1044.0,+94/-97,0.101,38.68,22.21,27.006,2.59,0.533,➖,0.0,False,GPU
-43,❓,Other,[xRFM (default)](https://arxiv.org/abs/2508.10053),1026.0,+70/-101,0.029,39.57,31.98,25.922,4.95,1.012,✔️,0.0,False,GPU
-44,📏,Baseline,[Linear (tuned + ensembled)](https://scikit-learn.org/stable/modules/linear_model.html),1025.0,+74/-95,0.055,39.58,26.61,30.732,483.02,0.874,✔️,0.0,False,CPU
-45,🧠🔁,Neural Network,[FastaiMLP (default)](https://arxiv.org/abs/2003.06505),1009.0,+65/-65,0.004,40.37,25.87,25.35,5.04,0.646,✔️,0.0,False,CPU
-46,📏,Baseline,[KNN (tuned + ensembled)](https://scikit-learn.org/stable/modules/neighbors.html),1008.0,+83/-108,0.026,40.4,25.77,28.581,121.17,1.63,✔️,0.0,False,CPU
-47,📏,Baseline,[Linear (tuned)](https://scikit-learn.org/stable/modules/linear_model.html),1001.0,+76/-98,0.04,40.72,27.77,31.295,483.02,0.113,✔️,0.0,False,CPU
-48,🌳,Tree-based,[RandomForest (default)](https://link.springer.com/article/10.1023/A:1010933404324),1000.0,+63/-74,0.013,40.76,33.69,28.328,0.46,0.068,✔️,0.0,False,CPU
-49,🌳,Tree-based,[ExtraTrees (default)](https://link.springer.com/article/10.1007/s10994-006-6226-1),961.0,+76/-104,0.011,42.43,35.89,29.787,0.42,0.074,✔️,0.0,False,CPU
-50,📏,Baseline,[Linear (default)](https://scikit-learn.org/stable/modules/linear_model.html),927.0,+94/-132,0.026,43.79,30.83,34.553,2.39,0.143,✔️,0.0,False,CPU
-51,📏,Baseline,[KNN (tuned)](https://scikit-learn.org/stable/modules/neighbors.html),918.0,+97/-110,0.009,44.1,29.77,34.235,121.17,0.136,✔️,0.0,False,CPU
-52,📏,Baseline,[KNN (default)](https://scikit-learn.org/stable/modules/neighbors.html),582.0,+112/-169,0.0,51.39,47.3,49.61,0.28,0.023,✔️,0.0,False,CPU
diff --git a/data/imputation_no/splits_all/tasks_classification/datasets_small/winrate_matrix.png.zip b/data/imputation_no/splits_all/tasks_classification/datasets_small/winrate_matrix.png.zip
deleted file mode 100644
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+++ /dev/null
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diff --git a/data/imputation_no/splits_all/tasks_classification/datasets_tabpfn/pareto_front_improvability_vs_time_infer.png.zip b/data/imputation_no/splits_all/tasks_classification/datasets_tabpfn/pareto_front_improvability_vs_time_infer.png.zip
deleted file mode 100644
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diff --git a/data/imputation_no/splits_all/tasks_classification/datasets_tabpfn/tuning-impact-elo.png.zip b/data/imputation_no/splits_all/tasks_classification/datasets_tabpfn/tuning-impact-elo.png.zip
deleted file mode 100644
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diff --git a/data/imputation_no/splits_all/tasks_classification/datasets_tabpfn/website_leaderboard.csv b/data/imputation_no/splits_all/tasks_classification/datasets_tabpfn/website_leaderboard.csv
deleted file mode 100644
index 1f9cf6227b8613a285e17df780d5726301fd6b67..0000000000000000000000000000000000000000
--- a/data/imputation_no/splits_all/tasks_classification/datasets_tabpfn/website_leaderboard.csv
+++ /dev/null
@@ -1,60 +0,0 @@
-#,Type,TypeName,Model,Elo [⬆️],Elo 95% CI,Score [⬆️],Rank [⬇️],Harmonic Rank [⬇️],Improvability (%) [⬇️],Median Train Time (s/1K) [⬇️],Median Predict Time (s/1K) [⬇️],Verified,Imputed (%) [⬇️],Imputed,Hardware
-0,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned + ensembled)](https://arxiv.org/abs/2511.08667),1630.0,+84/-80,0.722,10.0,3.9,6.61,2168.17,7.961,✔️,0.0,False,GPU
-1,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (default)](https://arxiv.org/abs/2511.08667),1628.0,+70/-56,0.738,10.07,5.21,7.958,5.99,0.633,✔️,0.0,False,GPU
-2,📊,Reference Pipeline,"[AutoGluon 1.4 (extreme, 4h)](https://arxiv.org/abs/2003.06505)",1620.0,+83/-64,0.696,10.38,4.74,9.368,604.44,8.082,✔️,0.0,False,GPU
-3,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned)](https://arxiv.org/abs/2511.08667),1610.0,+80/-71,0.697,10.81,4.41,7.752,2168.17,1.23,✔️,0.0,False,GPU
-4,🧠⚡,Foundation Model,[TabPFNv2 (tuned + ensembled)](https://www.nature.com/articles/s41586-024-08328-6),1540.0,+70/-55,0.57,14.09,5.86,11.475,3445.6,48.236,✔️,0.0,False,GPU
-5,🧠🔁,Neural Network,[Mitra (default)](https://arxiv.org/abs/2510.21204),1533.0,+79/-59,0.59,14.47,6.28,12.049,146.65,4.101,✔️,0.0,False,GPU
-6,🧠🔁,Neural Network,[LimiX (default)](https://arxiv.org/abs/2509.03505),1516.0,+88/-72,0.568,15.35,5.73,11.77,4.37,0.585,➖,0.0,False,GPU
-7,🧠🔁,Neural Network,[RealMLP (tuned + ensembled)](https://arxiv.org/abs/2407.04491),1482.0,+62/-44,0.437,17.25,10.01,13.427,3169.9,16.793,✔️,0.0,False,GPU
-8,🧠⚡,Foundation Model,[TabICL (default)](https://arxiv.org/abs/2502.05564),1456.0,+72/-61,0.442,18.82,6.68,13.063,8.89,1.743,✔️,0.0,False,GPU
-9,🧠🔁,Neural Network,[TabM (tuned + ensembled)](https://arxiv.org/abs/2410.24210),1450.0,+70/-46,0.366,19.14,10.17,14.712,2828.45,1.596,✔️,0.0,False,GPU
-10,🧠⚡,Foundation Model,[TabPFNv2 (tuned)](https://www.nature.com/articles/s41586-024-08328-6),1449.0,+81/-72,0.436,19.25,6.6,14.177,3445.6,0.995,✔️,0.0,False,GPU
-11,📊,Reference Pipeline,"[AutoGluon 1.4 (best, 4h)](https://arxiv.org/abs/2003.06505)",1440.0,+63/-54,0.357,19.77,10.75,14.274,2898.23,1.884,✔️,0.0,False,CPU
-12,🧠⚡,Foundation Model,[TabDPT (tuned + ensembled)](https://arxiv.org/abs/2410.18164),1422.0,+77/-69,0.38,20.9,7.02,12.892,5119.36,231.986,✔️,0.0,False,GPU
-13,🧠⚡,Foundation Model,[BetaTabPFN (default)](https://arxiv.org/abs/2502.02527),1421.0,+60/-51,0.365,20.98,10.75,16.153,330.95,2.023,➖,0.0,False,GPU
-14,🧠⚡,Foundation Model,[TabPFNv2 (default)](https://www.nature.com/articles/s41586-024-08328-6),1407.0,+83/-71,0.408,21.87,9.13,15.457,4.06,0.436,✔️,0.0,False,GPU
-15,🧠🔁,Neural Network,[RealMLP (tuned)](https://arxiv.org/abs/2407.04491),1397.0,+55/-54,0.293,22.5,11.81,15.095,3169.9,1.446,✔️,0.0,False,GPU
-16,🧠⚡,Foundation Model,[TabDPT (tuned)](https://arxiv.org/abs/2410.18164),1397.0,+83/-72,0.355,22.53,7.11,13.762,5119.36,26.967,✔️,0.0,False,GPU
-17,🧠🔁,Neural Network,[TabM (tuned)](https://arxiv.org/abs/2410.24210),1396.0,+71/-50,0.286,22.61,11.93,15.679,2828.45,0.216,✔️,0.0,False,GPU
-18,🌳,Tree-based,[LightGBM (tuned + ensembled)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1385.0,+41/-34,0.23,23.31,16.06,16.533,647.56,1.72,✔️,0.0,False,CPU
-19,🌳,Tree-based,[LightGBM (tuned)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1360.0,+36/-29,0.175,24.97,17.95,16.914,647.56,0.284,✔️,0.0,False,CPU
-20,🌳,Tree-based,[CatBoost (tuned + ensembled)](https://arxiv.org/abs/1706.09516),1354.0,+49/-35,0.183,25.37,18.19,16.88,1465.86,0.692,✔️,0.0,False,CPU
-21,🧠🔁,Neural Network,[ModernNCA (tuned)](https://arxiv.org/abs/2407.03257),1352.0,+55/-50,0.195,25.47,11.28,16.083,5944.88,0.516,✔️,0.0,False,GPU
-22,🧠⚡,Foundation Model,[SAP-RPT-OSS (default)](https://arxiv.org/abs/2506.10707),1349.0,+77/-82,0.339,25.69,8.08,17.238,12.28,1.411,➖,0.0,False,GPU
-23,🌳,Tree-based,[CatBoost (tuned)](https://arxiv.org/abs/1706.09516),1340.0,+46/-34,0.17,26.28,19.43,17.1,1465.86,0.091,✔️,0.0,False,CPU
-24,🧠🔁,Neural Network,[TabM (default)](https://arxiv.org/abs/2410.24210),1323.0,+64/-56,0.225,27.4,15.15,18.17,10.42,0.155,✔️,0.0,False,GPU
-25,🌳,Tree-based,[XGBoost (tuned + ensembled)](https://arxiv.org/abs/1603.02754),1322.0,+44/-41,0.156,27.46,19.79,17.817,766.06,1.917,✔️,0.0,False,CPU
-26,🧠🔁,Neural Network,[ModernNCA (tuned + ensembled)](https://arxiv.org/abs/2407.03257),1321.0,+95/-83,0.243,27.58,11.91,17.226,5944.88,8.396,✔️,0.0,False,GPU
-27,🌳,Tree-based,[CatBoost (default)](https://arxiv.org/abs/1706.09516),1318.0,+47/-42,0.157,27.75,18.7,17.881,5.72,0.11,✔️,0.0,False,CPU
-28,🧠⚡,Foundation Model,[TabDPT (default)](https://arxiv.org/abs/2410.18164),1318.0,+87/-95,0.301,27.79,8.7,16.871,50.32,43.824,✔️,0.0,False,GPU
-29,❓,Other,[xRFM (tuned + ensembled)](https://arxiv.org/abs/2508.10053),1317.0,+50/-52,0.169,27.84,17.12,17.652,934.1,2.767,✔️,0.0,False,GPU
-30,🌳,Tree-based,[XGBoost (tuned)](https://arxiv.org/abs/1603.02754),1306.0,+39/-35,0.117,28.55,19.61,18.047,766.06,0.278,✔️,0.0,False,CPU
-31,🌳,Tree-based,[EBM (tuned + ensembled)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1295.0,+46/-40,0.114,29.34,19.33,18.806,2686.11,0.47,✔️,0.0,False,CPU
-32,🧠🔁,Neural Network,[TorchMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1291.0,+57/-54,0.137,29.6,20.38,17.96,2862.05,2.158,✔️,0.0,False,CPU
-33,🧠🔁,Neural Network,[ModernNCA (default)](https://arxiv.org/abs/2407.03257),1281.0,+46/-57,0.138,30.25,15.68,19.639,14.8,0.337,✔️,0.0,False,GPU
-34,❓,Other,[xRFM (tuned)](https://arxiv.org/abs/2508.10053),1275.0,+50/-49,0.119,30.68,17.18,18.979,934.1,0.165,✔️,0.0,False,GPU
-35,🧠🔁,Neural Network,[FastaiMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1272.0,+77/-86,0.173,30.88,15.62,19.54,1358.63,8.067,✔️,0.0,False,CPU
-36,🌳,Tree-based,[EBM (tuned)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1267.0,+44/-46,0.08,31.22,18.79,19.416,2686.11,0.056,✔️,0.0,False,CPU
-37,🌳,Tree-based,[EBM (default)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1242.0,+49/-45,0.083,32.89,19.61,20.271,7.4,0.057,✔️,0.0,False,CPU
-38,🧠🔁,Neural Network,[RealMLP (default)](https://arxiv.org/abs/2407.04491),1240.0,+44/-39,0.068,33.04,20.96,19.431,13.83,3.953,✔️,0.0,False,GPU
-39,🧠🔁,Neural Network,[FastaiMLP (tuned)](https://arxiv.org/abs/2003.06505),1216.0,+64/-77,0.075,34.6,19.66,20.91,1358.63,0.897,✔️,0.0,False,CPU
-40,🧠🔁,Neural Network,[TorchMLP (tuned)](https://arxiv.org/abs/2003.06505),1211.0,+52/-43,0.063,34.95,22.57,20.228,2862.05,0.152,✔️,0.0,False,CPU
-41,🌳,Tree-based,[ExtraTrees (tuned + ensembled)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1197.0,+60/-66,0.073,35.83,24.35,22.47,370.85,1.466,✔️,0.0,False,CPU
-42,🌳,Tree-based,[XGBoost (default)](https://arxiv.org/abs/1603.02754),1183.0,+45/-43,0.022,36.73,30.5,21.153,2.4,0.218,✔️,0.0,False,CPU
-43,🌳,Tree-based,[ExtraTrees (tuned)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1159.0,+62/-69,0.043,38.24,26.46,23.47,370.85,0.161,✔️,0.0,False,CPU
-44,🌳,Tree-based,[LightGBM (default)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1152.0,+36/-44,0.027,38.64,33.15,21.722,2.9,0.133,✔️,0.0,False,CPU
-45,🌳,Tree-based,[RandomForest (tuned + ensembled)](https://link.springer.com/article/10.1023/A:1010933404324),1132.0,+70/-68,0.041,39.91,25.86,23.974,527.42,1.39,✔️,0.0,False,CPU
-46,🌳,Tree-based,[RandomForest (tuned)](https://link.springer.com/article/10.1023/A:1010933404324),1092.0,+60/-65,0.01,42.2,27.78,24.812,527.42,0.123,✔️,0.0,False,CPU
-47,🧠🔁,Neural Network,[TorchMLP (default)](https://arxiv.org/abs/2003.06505),1079.0,+55/-62,0.016,42.9,30.59,25.033,10.38,0.188,✔️,0.0,False,CPU
-48,🧠⚡,Foundation Model,[TabFlex (default)](https://arxiv.org/abs/2506.05584),1070.0,+82/-130,0.089,43.44,25.27,27.954,2.43,0.495,➖,0.0,False,GPU
-49,📏,Baseline,[Linear (tuned + ensembled)](https://scikit-learn.org/stable/modules/linear_model.html),1057.0,+99/-105,0.054,44.12,28.99,30.261,436.81,0.874,✔️,0.0,False,CPU
-50,❓,Other,[xRFM (default)](https://arxiv.org/abs/2508.10053),1033.0,+90/-101,0.02,45.32,36.7,27.651,4.4,0.974,✔️,0.0,False,GPU
-51,📏,Baseline,[Linear (tuned)](https://scikit-learn.org/stable/modules/linear_model.html),1032.0,+100/-102,0.037,45.36,30.81,30.773,436.81,0.106,✔️,0.0,False,CPU
-52,🧠🔁,Neural Network,[FastaiMLP (default)](https://arxiv.org/abs/2003.06505),1032.0,+72/-82,0.0,45.4,28.7,26.194,4.73,0.623,✔️,0.0,False,CPU
-53,📏,Baseline,[KNN (tuned + ensembled)](https://scikit-learn.org/stable/modules/neighbors.html),1009.0,+76/-105,0.016,46.49,33.08,30.21,113.26,1.55,✔️,0.0,False,CPU
-54,🌳,Tree-based,[RandomForest (default)](https://link.springer.com/article/10.1023/A:1010933404324),1000.0,+61/-84,0.003,46.9,40.2,29.346,0.45,0.066,✔️,0.0,False,CPU
-55,🌳,Tree-based,[ExtraTrees (default)](https://link.springer.com/article/10.1007/s10994-006-6226-1),970.0,+75/-110,0.009,48.23,40.88,30.707,0.4,0.07,✔️,0.0,False,CPU
-56,📏,Baseline,[Linear (default)](https://scikit-learn.org/stable/modules/linear_model.html),958.0,+90/-124,0.023,48.74,33.8,33.52,2.16,0.139,✔️,0.0,False,CPU
-57,📏,Baseline,[KNN (tuned)](https://scikit-learn.org/stable/modules/neighbors.html),910.0,+86/-140,0.001,50.55,34.68,36.12,113.26,0.12,✔️,0.0,False,CPU
-58,📏,Baseline,[KNN (default)](https://scikit-learn.org/stable/modules/neighbors.html),599.0,+121/-261,0.0,57.31,52.26,49.949,0.26,0.023,✔️,0.0,False,CPU
diff --git a/data/imputation_no/splits_all/tasks_classification/datasets_tabpfn/winrate_matrix.png.zip b/data/imputation_no/splits_all/tasks_classification/datasets_tabpfn/winrate_matrix.png.zip
deleted file mode 100644
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diff --git a/data/imputation_no/splits_all/tasks_multiclass/datasets_all/website_leaderboard.csv b/data/imputation_no/splits_all/tasks_multiclass/datasets_all/website_leaderboard.csv
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-#,Type,TypeName,Model,Elo [⬆️],Elo 95% CI,Score [⬆️],Rank [⬇️],Harmonic Rank [⬇️],Improvability (%) [⬇️],Median Train Time (s/1K) [⬇️],Median Predict Time (s/1K) [⬇️],Verified,Imputed (%) [⬇️],Imputed,Hardware
-0,📊,Reference Pipeline,"[AutoGluon 1.4 (extreme, 4h)](https://arxiv.org/abs/2003.06505)",1745.0,+171/-74,0.826,6.07,3.71,10.043,1045.67,7.086,✔️,0.0,False,GPU
-1,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned)](https://arxiv.org/abs/2511.08667),1722.0,+226/-98,0.813,6.67,3.14,7.633,2710.27,1.347,✔️,0.0,False,GPU
-2,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned + ensembled)](https://arxiv.org/abs/2511.08667),1714.0,+304/-148,0.808,6.89,2.26,6.828,2710.27,8.099,✔️,0.0,False,GPU
-3,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (default)](https://arxiv.org/abs/2511.08667),1580.0,+241/-156,0.654,11.51,4.67,9.867,10.23,0.844,✔️,0.0,False,GPU
-4,📊,Reference Pipeline,"[AutoGluon 1.4 (best, 4h)](https://arxiv.org/abs/2003.06505)",1524.0,+205/-119,0.443,14.04,5.41,14.813,6219.24,3.78,✔️,0.0,False,CPU
-5,🧠🔁,Neural Network,[RealMLP (tuned + ensembled)](https://arxiv.org/abs/2407.04491),1509.0,+172/-113,0.499,14.74,7.18,13.788,4150.25,19.131,✔️,0.0,False,GPU
-6,🧠🔁,Neural Network,[RealMLP (tuned)](https://arxiv.org/abs/2407.04491),1486.0,+133/-88,0.43,15.89,8.9,14.808,4150.25,3.423,✔️,0.0,False,GPU
-7,🧠🔁,Neural Network,[TabM (tuned + ensembled)](https://arxiv.org/abs/2410.24210),1471.0,+120/-83,0.398,16.69,10.11,17.321,5885.87,1.632,✔️,0.0,False,GPU
-8,🌳,Tree-based,[LightGBM (tuned + ensembled)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1458.0,+124/-74,0.337,17.38,12.63,16.791,1377.29,5.202,✔️,0.0,False,CPU
-9,🌳,Tree-based,[CatBoost (tuned + ensembled)](https://arxiv.org/abs/1706.09516),1450.0,+99/-54,0.315,17.78,14.6,15.594,3104.39,1.095,✔️,0.0,False,CPU
-10,🌳,Tree-based,[LightGBM (tuned)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1448.0,+101/-70,0.313,17.87,13.58,17.021,1377.29,1.259,✔️,0.0,False,CPU
-11,🧠🔁,Neural Network,[TabM (tuned)](https://arxiv.org/abs/2410.24210),1430.0,+120/-85,0.348,18.89,10.22,18.117,5885.87,0.299,✔️,0.0,False,GPU
-12,🧠⚡,Foundation Model,[TabDPT (tuned + ensembled)](https://arxiv.org/abs/2410.18164),1427.0,+168/-122,0.382,19.06,7.54,19.043,4635.14,212.285,✔️,0.0,False,GPU
-13,🌳,Tree-based,[CatBoost (tuned)](https://arxiv.org/abs/1706.09516),1425.0,+93/-67,0.256,19.14,15.5,16.211,3104.39,0.212,✔️,0.0,False,CPU
-14,🌳,Tree-based,[XGBoost (tuned)](https://arxiv.org/abs/1603.02754),1404.0,+101/-93,0.266,20.32,15.96,17.394,2210.02,0.974,✔️,0.0,False,CPU
-15,🌳,Tree-based,[XGBoost (tuned + ensembled)](https://arxiv.org/abs/1603.02754),1398.0,+98/-96,0.26,20.65,15.81,17.505,2210.02,3.985,✔️,0.0,False,CPU
-16,🧠🔁,Neural Network,[ModernNCA (tuned + ensembled)](https://arxiv.org/abs/2407.03257),1396.0,+105/-94,0.227,20.74,13.39,16.604,7127.77,9.214,✔️,0.0,False,GPU
-17,🧠🔁,Neural Network,[ModernNCA (tuned)](https://arxiv.org/abs/2407.03257),1390.0,+79/-46,0.194,21.12,11.08,16.901,7127.77,0.776,✔️,0.0,False,GPU
-18,🧠⚡,Foundation Model,[TabDPT (tuned)](https://arxiv.org/abs/2410.18164),1375.0,+182/-126,0.333,21.93,8.84,20.768,4635.14,34.77,✔️,0.0,False,GPU
-19,❓,Other,[xRFM (tuned + ensembled)](https://arxiv.org/abs/2508.10053),1368.0,+149/-122,0.263,22.32,14.48,20.11,1980.6,3.605,✔️,0.0,False,GPU
-20,🧠⚡,Foundation Model,[BetaTabPFN (default)](https://arxiv.org/abs/2502.02527),1365.0,+135/-108,0.287,22.52,16.55,20.477,507.73,4.428,➖,0.0,False,GPU
-21,🌳,Tree-based,[EBM (tuned + ensembled)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1354.0,+107/-87,0.19,23.11,16.94,19.217,36484.23,0.827,✔️,0.0,False,CPU
-22,🧠⚡,Foundation Model,[SAP-RPT-OSS (default)](https://arxiv.org/abs/2506.10707),1342.0,+203/-281,0.403,23.81,5.22,17.651,22.52,1.682,➖,0.0,False,GPU
-23,🧠🔁,Neural Network,[TabM (default)](https://arxiv.org/abs/2410.24210),1331.0,+125/-119,0.246,24.46,15.66,21.075,17.83,0.197,✔️,0.0,False,GPU
-24,🌳,Tree-based,[ExtraTrees (tuned + ensembled)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1322.0,+180/-126,0.243,25.02,12.97,22.136,717.36,1.612,✔️,0.0,False,CPU
-25,🌳,Tree-based,[RandomForest (tuned + ensembled)](https://link.springer.com/article/10.1023/A:1010933404324),1321.0,+188/-165,0.288,25.06,11.1,21.486,737.91,1.864,✔️,0.0,False,CPU
-26,🌳,Tree-based,[CatBoost (default)](https://arxiv.org/abs/1706.09516),1316.0,+76/-54,0.136,25.35,21.99,19.294,50.54,0.227,✔️,0.0,False,CPU
-27,🌳,Tree-based,[EBM (tuned)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1310.0,+102/-101,0.139,25.73,18.9,20.0,36484.23,0.127,✔️,0.0,False,CPU
-28,🧠🔁,Neural Network,[TorchMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1308.0,+148/-110,0.12,25.83,19.12,20.799,3901.28,2.028,✔️,0.0,False,CPU
-29,🌳,Tree-based,[EBM (default)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1277.0,+124/-113,0.147,27.62,21.87,21.825,19.31,0.108,✔️,0.0,False,CPU
-30,🌳,Tree-based,[ExtraTrees (tuned)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1274.0,+177/-141,0.2,27.8,12.1,23.572,717.36,0.326,✔️,0.0,False,CPU
-31,🌳,Tree-based,[RandomForest (tuned)](https://link.springer.com/article/10.1023/A:1010933404324),1269.0,+195/-186,0.223,28.08,10.03,22.868,737.91,0.316,✔️,0.0,False,CPU
-32,❓,Other,[xRFM (tuned)](https://arxiv.org/abs/2508.10053),1269.0,+126/-111,0.16,28.08,16.42,22.43,1980.6,0.61,✔️,0.0,False,GPU
-33,🧠🔁,Neural Network,[FastaiMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1267.0,+189/-176,0.222,28.2,12.27,24.365,2644.99,12.294,✔️,0.0,False,CPU
-34,🧠⚡,Foundation Model,[TabDPT (default)](https://arxiv.org/abs/2410.18164),1260.0,+209/-138,0.221,28.58,8.19,23.595,43.39,42.575,✔️,0.0,False,GPU
-35,🌳,Tree-based,[XGBoost (default)](https://arxiv.org/abs/1603.02754),1243.0,+111/-84,0.063,29.56,25.81,20.791,4.72,0.542,✔️,0.0,False,CPU
-36,🧠🔁,Neural Network,[TorchMLP (tuned)](https://arxiv.org/abs/2003.06505),1242.0,+117/-132,0.108,29.59,21.0,23.04,3901.28,0.223,✔️,0.0,False,CPU
-37,🌳,Tree-based,[LightGBM (default)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1227.0,+137/-116,0.135,30.42,23.93,22.819,5.04,0.429,✔️,0.0,False,CPU
-38,🧠🔁,Neural Network,[FastaiMLP (tuned)](https://arxiv.org/abs/2003.06505),1215.0,+141/-142,0.121,31.09,17.39,25.46,2644.99,1.148,✔️,0.0,False,CPU
-39,🧠🔁,Neural Network,[ModernNCA (default)](https://arxiv.org/abs/2407.03257),1198.0,+94/-116,0.033,32.0,25.47,25.586,17.94,0.691,✔️,0.0,False,GPU
-40,🧠🔁,Neural Network,[RealMLP (default)](https://arxiv.org/abs/2407.04491),1154.0,+68/-96,0.0,34.39,31.5,26.173,19.2,7.624,✔️,0.0,False,GPU
-41,❓,Other,[xRFM (default)](https://arxiv.org/abs/2508.10053),1088.0,+129/-183,0.047,37.58,31.7,29.814,9.42,1.675,✔️,0.0,False,GPU
-42,🧠🔁,Neural Network,[TorchMLP (default)](https://arxiv.org/abs/2003.06505),1054.0,+73/-110,0.0,39.11,31.29,28.977,13.69,0.314,✔️,0.0,False,CPU
-43,📏,Baseline,[KNN (tuned + ensembled)](https://scikit-learn.org/stable/modules/neighbors.html),1008.0,+226/-342,0.041,40.98,22.24,39.509,151.69,2.346,✔️,0.0,False,CPU
-44,🌳,Tree-based,[RandomForest (default)](https://link.springer.com/article/10.1023/A:1010933404324),1000.0,+116/-180,0.0,41.3,37.66,35.825,0.74,0.137,✔️,0.0,False,CPU
-45,📏,Baseline,[Linear (tuned + ensembled)](https://scikit-learn.org/stable/modules/linear_model.html),994.0,+98/-236,0.0,41.54,39.5,40.319,892.95,0.818,✔️,0.0,False,CPU
-46,📏,Baseline,[Linear (tuned)](https://scikit-learn.org/stable/modules/linear_model.html),956.0,+90/-238,0.0,42.89,40.7,41.22,892.95,0.146,✔️,0.0,False,CPU
-47,🧠🔁,Neural Network,[FastaiMLP (default)](https://arxiv.org/abs/2003.06505),948.0,+127/-169,0.0,43.19,40.9,34.749,8.51,0.734,✔️,0.0,False,CPU
-48,🌳,Tree-based,[ExtraTrees (default)](https://link.springer.com/article/10.1007/s10994-006-6226-1),908.0,+138/-182,0.0,44.47,41.49,40.871,0.69,0.137,✔️,0.0,False,CPU
-49,🧠⚡,Foundation Model,[TabFlex (default)](https://arxiv.org/abs/2506.05584),849.0,+67/-136,0.0,46.14,45.9,39.802,5.05,1.013,➖,0.0,False,GPU
-50,📏,Baseline,[KNN (tuned)](https://scikit-learn.org/stable/modules/neighbors.html),829.0,+259/-495,0.026,46.65,36.75,49.77,151.69,0.258,✔️,0.0,False,CPU
-51,📏,Baseline,[Linear (default)](https://scikit-learn.org/stable/modules/linear_model.html),749.0,+83/-218,0.0,48.42,48.07,47.305,4.53,0.164,✔️,0.0,False,CPU
-52,📏,Baseline,[KNN (default)](https://scikit-learn.org/stable/modules/neighbors.html),198.0,+129/-639,0.0,52.77,52.76,70.62,0.52,0.076,✔️,0.0,False,CPU
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-#,Type,TypeName,Model,Elo [⬆️],Elo 95% CI,Score [⬆️],Rank [⬇️],Harmonic Rank [⬇️],Improvability (%) [⬇️],Median Train Time (s/1K) [⬇️],Median Predict Time (s/1K) [⬇️],Verified,Imputed (%) [⬇️],Imputed,Hardware
-0,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned + ensembled)](https://arxiv.org/abs/2511.08667),9356.0,+0/-0,1.0,1.11,1.06,0.019,133.98,8.253,✔️,0.0,False,GPU
-1,📊,Reference Pipeline,"[AutoGluon 1.4 (best, 4h)](https://arxiv.org/abs/2003.06505)",8889.0,+0/-0,0.935,2.56,2.2,1.7,276.87,4.662,✔️,0.0,False,CPU
-2,📊,Reference Pipeline,"[AutoGluon 1.4 (extreme, 4h)](https://arxiv.org/abs/2003.06505)",8788.0,+0/-0,0.928,3.0,2.84,1.878,276.86,3.44,✔️,0.0,False,GPU
-3,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned)](https://arxiv.org/abs/2511.08667),8709.0,+0/-0,0.906,3.33,3.0,2.424,133.98,2.816,✔️,0.0,False,GPU
-4,🌳,Tree-based,[RandomForest (tuned + ensembled)](https://link.springer.com/article/10.1023/A:1010933404324),6299.0,+0/-0,0.597,6.78,6.31,9.581,61.95,0.17,✔️,0.0,False,CPU
-5,🌳,Tree-based,[EBM (tuned + ensembled)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),6288.0,+0/-0,0.598,6.89,6.45,9.545,7606.4,0.826,✔️,0.0,False,CPU
-6,🌳,Tree-based,[LightGBM (tuned + ensembled)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),6240.0,+0/-0,0.576,7.33,7.13,10.011,157.72,3.649,✔️,0.0,False,CPU
-7,🌳,Tree-based,[EBM (tuned)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),6149.0,+0/-0,0.581,8.22,7.72,9.898,7606.4,0.048,✔️,0.0,False,CPU
-8,🌳,Tree-based,[RandomForest (tuned)](https://link.springer.com/article/10.1023/A:1010933404324),6106.0,+0/-0,0.581,8.67,7.91,9.921,61.95,0.016,✔️,0.0,False,CPU
-9,🌳,Tree-based,[LightGBM (tuned)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),6064.0,+0/-0,0.555,9.11,8.66,10.441,157.72,0.374,✔️,0.0,False,CPU
-10,🌳,Tree-based,[CatBoost (tuned)](https://arxiv.org/abs/1706.09516),5788.0,+0/-0,0.512,11.89,10.98,11.347,2688.02,0.24,✔️,0.0,False,CPU
-11,🌳,Tree-based,[XGBoost (tuned + ensembled)](https://arxiv.org/abs/1603.02754),5778.0,+0/-0,0.521,12.0,11.9,11.168,466.47,1.036,✔️,0.0,False,CPU
-12,🌳,Tree-based,[CatBoost (tuned + ensembled)](https://arxiv.org/abs/1706.09516),5680.0,+0/-0,0.503,13.0,12.51,11.536,2688.02,0.726,✔️,0.0,False,CPU
-13,🌳,Tree-based,[XGBoost (default)](https://arxiv.org/abs/1603.02754),5624.0,+0/-0,0.505,13.56,13.39,11.505,0.39,0.051,✔️,0.0,False,CPU
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-15,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (default)](https://arxiv.org/abs/2511.08667),5256.0,+0/-0,0.403,17.0,16.0,13.544,1.48,0.53,✔️,0.0,False,GPU
-16,🌳,Tree-based,[CatBoost (default)](https://arxiv.org/abs/1706.09516),5218.0,+0/-0,0.427,17.33,17.24,13.063,7.54,0.047,✔️,0.0,False,CPU
-17,🧠🔁,Neural Network,[ModernNCA (tuned + ensembled)](https://arxiv.org/abs/2407.03257),5193.0,+0/-0,0.411,17.56,17.52,13.396,4423.24,29.2,✔️,0.0,False,GPU
-18,🌳,Tree-based,[EBM (default)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),5142.0,+0/-0,0.393,18.0,17.84,13.739,17.7,0.086,✔️,0.0,False,CPU
-19,🧠🔁,Neural Network,[ModernNCA (tuned)](https://arxiv.org/abs/2407.03257),4927.0,+0/-0,0.359,19.67,19.62,14.412,4423.24,2.237,✔️,0.0,False,GPU
-20,🧠⚡,Foundation Model,[TabICL (default)](https://arxiv.org/abs/2502.05564),4852.0,+0/-0,0.353,20.11,20.02,14.523,2.82,1.073,✔️,0.0,False,GPU
-21,🌳,Tree-based,[ExtraTrees (tuned + ensembled)](https://link.springer.com/article/10.1007/s10994-006-6226-1),3270.0,+0/-0,0.255,22.11,22.11,16.353,20.98,0.329,✔️,0.0,False,CPU
-22,🧠⚡,Foundation Model,[TabDPT (tuned + ensembled)](https://arxiv.org/abs/2410.18164),2605.0,+0/-0,0.138,24.22,24.17,18.457,4638.91,343.215,✔️,0.0,False,GPU
-23,🌳,Tree-based,[ExtraTrees (tuned)](https://link.springer.com/article/10.1007/s10994-006-6226-1),2547.0,+0/-0,0.119,24.56,24.51,18.777,20.98,0.027,✔️,0.0,False,CPU
-24,🧠🔁,Neural Network,[TorchMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),2547.0,+0/-0,0.121,24.56,24.47,18.732,2389.31,0.267,✔️,0.0,False,CPU
-25,🧠🔁,Neural Network,[TorchMLP (tuned)](https://arxiv.org/abs/2003.06505),2528.0,+0/-0,0.115,24.67,24.61,18.841,2389.31,0.023,✔️,0.0,False,CPU
-26,🧠🔁,Neural Network,[ModernNCA (default)](https://arxiv.org/abs/2407.03257),1766.0,+0/-0,0.007,27.44,27.43,20.674,14.87,1.855,✔️,0.0,False,GPU
-27,🧠🔁,Neural Network,[TabM (tuned + ensembled)](https://arxiv.org/abs/2410.24210),1584.0,+0/-0,0.0,28.33,28.3,20.901,1993.14,0.452,✔️,0.0,False,GPU
-28,🧠🔁,Neural Network,[TabM (tuned)](https://arxiv.org/abs/2410.24210),1400.0,+0/-0,0.0,29.44,29.37,21.65,1993.14,0.059,✔️,0.0,False,GPU
-29,🧠⚡,Foundation Model,[TabDPT (tuned)](https://arxiv.org/abs/2410.18164),1237.0,+0/-0,0.0,30.67,30.6,22.097,4638.91,43.781,✔️,0.0,False,GPU
-30,🧠⚡,Foundation Model,[TabDPT (default)](https://arxiv.org/abs/2410.18164),1195.0,+0/-0,0.0,31.0,30.87,22.475,40.54,38.741,✔️,0.0,False,GPU
-31,🧠⚡,Foundation Model,[SAP-RPT-OSS (default)](https://arxiv.org/abs/2506.10707),1126.0,+0/-0,0.0,31.56,31.48,22.424,9.87,9.237,➖,0.0,False,GPU
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-33,🧠🔁,Neural Network,[RealMLP (tuned + ensembled)](https://arxiv.org/abs/2407.04491),828.0,+0/-0,0.0,33.78,33.75,23.568,1294.93,0.417,✔️,0.0,False,GPU
-34,🧠🔁,Neural Network,[RealMLP (tuned)](https://arxiv.org/abs/2407.04491),639.0,+0/-0,0.0,34.89,34.86,24.01,1294.93,0.06,✔️,0.0,False,GPU
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-38,🧠🔁,Neural Network,[TorchMLP (default)](https://arxiv.org/abs/2003.06505),-800.0,+0/-0,0.0,38.78,38.75,30.768,3.96,0.025,✔️,0.0,False,CPU
-39,🧠🔁,Neural Network,[TabM (default)](https://arxiv.org/abs/2410.24210),-1014.0,+0/-0,0.0,39.67,39.66,32.321,6.85,0.088,✔️,0.0,False,GPU
-40,🧠⚡,Foundation Model,[BetaTabPFN (default)](https://arxiv.org/abs/2502.02527),-1449.0,+0/-0,0.0,40.89,40.89,33.496,66.06,1.792,➖,0.0,False,GPU
-41,🧠🔁,Neural Network,[RealMLP (default)](https://arxiv.org/abs/2407.04491),-2053.0,+0/-0,0.0,42.0,42.0,37.017,7.55,0.149,✔️,0.0,False,GPU
-42,🧠🔁,Neural Network,[FastaiMLP (tuned)](https://arxiv.org/abs/2003.06505),-2631.0,+0/-0,0.0,43.11,43.11,41.044,569.0,0.17,✔️,0.0,False,CPU
-43,🧠🔁,Neural Network,[FastaiMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),-2953.0,+0/-0,0.0,43.89,43.89,41.644,569.0,1.658,✔️,0.0,False,CPU
-44,🌳,Tree-based,[ExtraTrees (default)](https://link.springer.com/article/10.1007/s10994-006-6226-1),-3647.0,+0/-0,0.0,45.11,45.11,50.207,0.07,0.015,✔️,0.0,False,CPU
-45,🧠🔁,Neural Network,[FastaiMLP (default)](https://arxiv.org/abs/2003.06505),-4085.0,+0/-0,0.0,46.22,46.21,51.289,2.86,0.085,✔️,0.0,False,CPU
-46,📏,Baseline,[Linear (tuned + ensembled)](https://scikit-learn.org/stable/modules/linear_model.html),-4259.0,+0/-0,0.0,46.78,46.77,51.687,30.41,0.089,✔️,0.0,False,CPU
-47,📏,Baseline,[Linear (tuned)](https://scikit-learn.org/stable/modules/linear_model.html),-4819.0,+0/-0,0.0,48.44,48.44,54.976,30.41,0.015,✔️,0.0,False,CPU
-48,📏,Baseline,[Linear (default)](https://scikit-learn.org/stable/modules/linear_model.html),-5018.0,+0/-0,0.0,49.33,49.32,55.365,0.13,0.014,✔️,0.0,False,CPU
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-50,🧠⚡,Foundation Model,[TabFlex (default)](https://arxiv.org/abs/2506.05584),-5312.0,+0/-0,0.0,50.78,50.77,56.49,0.11,0.023,➖,0.0,False,GPU
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diff --git a/data/imputation_no/splits_all/tasks_multiclass/datasets_small/website_leaderboard.csv b/data/imputation_no/splits_all/tasks_multiclass/datasets_small/website_leaderboard.csv
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-#,Type,TypeName,Model,Elo [⬆️],Elo 95% CI,Score [⬆️],Rank [⬇️],Harmonic Rank [⬇️],Improvability (%) [⬇️],Median Train Time (s/1K) [⬇️],Median Predict Time (s/1K) [⬇️],Verified,Imputed (%) [⬇️],Imputed,Hardware
-0,📊,Reference Pipeline,"[AutoGluon 1.4 (extreme, 4h)](https://arxiv.org/abs/2003.06505)",1764.0,+174/-72,0.81,6.78,4.04,11.277,1154.67,7.879,✔️,0.0,False,GPU
-1,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned)](https://arxiv.org/abs/2511.08667),1742.0,+216/-92,0.798,7.4,3.26,8.446,2742.37,1.218,✔️,0.0,False,GPU
-2,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned + ensembled)](https://arxiv.org/abs/2511.08667),1723.0,+255/-129,0.78,7.98,2.82,7.869,2742.37,7.945,✔️,0.0,False,GPU
-3,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (default)](https://arxiv.org/abs/2511.08667),1638.0,+311/-171,0.688,11.09,4.43,9.408,11.21,0.845,✔️,0.0,False,GPU
-4,🧠🔁,Neural Network,[RealMLP (tuned + ensembled)](https://arxiv.org/abs/2407.04491),1601.0,+190/-126,0.568,12.67,6.65,12.456,4471.59,21.354,✔️,0.0,False,GPU
-5,🧠🔁,Neural Network,[LimiX (default)](https://arxiv.org/abs/2509.03505),1596.0,+161/-111,0.54,12.89,5.09,11.552,6.22,1.092,➖,0.0,False,GPU
-6,🧠🔁,Neural Network,[RealMLP (tuned)](https://arxiv.org/abs/2407.04491),1574.0,+131/-70,0.488,13.88,8.37,13.559,4471.59,3.76,✔️,0.0,False,GPU
-7,🧠🔁,Neural Network,[TabM (tuned + ensembled)](https://arxiv.org/abs/2410.24210),1536.0,+144/-72,0.45,15.76,9.5,16.872,5929.46,1.73,✔️,0.0,False,GPU
-8,📊,Reference Pipeline,"[AutoGluon 1.4 (best, 4h)](https://arxiv.org/abs/2003.06505)",1526.0,+213/-87,0.371,16.28,7.58,16.751,6548.58,2.898,✔️,0.0,False,CPU
-9,🧠🔁,Neural Network,[TabM (tuned)](https://arxiv.org/abs/2410.24210),1490.0,+147/-78,0.393,18.18,9.58,17.673,5929.46,0.337,✔️,0.0,False,GPU
-10,🧠⚡,Foundation Model,[TabDPT (tuned + ensembled)](https://arxiv.org/abs/2410.18164),1474.0,+192/-155,0.415,19.06,7.42,19.175,4631.38,190.647,✔️,0.0,False,GPU
-11,🌳,Tree-based,[CatBoost (tuned + ensembled)](https://arxiv.org/abs/1706.09516),1471.0,+95/-60,0.282,19.23,15.8,16.236,3272.91,1.185,✔️,0.0,False,CPU
-12,🌳,Tree-based,[LightGBM (tuned + ensembled)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1465.0,+157/-78,0.299,19.54,15.03,17.824,1502.45,6.33,✔️,0.0,False,CPU
-13,🌳,Tree-based,[LightGBM (tuned)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1460.0,+137/-70,0.273,19.86,15.65,18.026,1502.45,1.367,✔️,0.0,False,CPU
-14,🧠⚡,Foundation Model,[BetaTabPFN (default)](https://arxiv.org/abs/2502.02527),1444.0,+126/-99,0.324,20.77,15.8,18.679,684.78,4.816,➖,0.0,False,GPU
-15,🌳,Tree-based,[CatBoost (tuned)](https://arxiv.org/abs/1706.09516),1440.0,+86/-50,0.213,20.95,17.26,16.965,3272.91,0.21,✔️,0.0,False,CPU
-16,❓,Other,[xRFM (tuned + ensembled)](https://arxiv.org/abs/2508.10053),1438.0,+111/-125,0.299,21.11,13.99,19.003,2097.62,3.142,✔️,0.0,False,GPU
-17,🧠⚡,Foundation Model,[TabDPT (tuned)](https://arxiv.org/abs/2410.18164),1431.0,+205/-161,0.38,21.47,8.27,20.624,4631.38,30.351,✔️,0.0,False,GPU
-18,🧠🔁,Neural Network,[ModernNCA (tuned + ensembled)](https://arxiv.org/abs/2407.03257),1424.0,+137/-97,0.196,21.92,13.83,17.119,7359.32,9.026,✔️,0.0,False,GPU
-19,🌳,Tree-based,[XGBoost (tuned)](https://arxiv.org/abs/1603.02754),1421.0,+111/-79,0.227,22.06,17.09,18.298,2551.65,1.021,✔️,0.0,False,CPU
-20,🧠🔁,Neural Network,[ModernNCA (tuned)](https://arxiv.org/abs/2407.03257),1420.0,+89/-53,0.167,22.11,10.77,17.314,7359.32,0.596,✔️,0.0,False,GPU
-21,🌳,Tree-based,[XGBoost (tuned + ensembled)](https://arxiv.org/abs/1603.02754),1410.0,+126/-82,0.216,22.69,17.17,18.472,2551.65,4.527,✔️,0.0,False,CPU
-22,🧠🔁,Neural Network,[TabM (default)](https://arxiv.org/abs/2410.24210),1402.0,+166/-108,0.277,23.15,14.83,19.531,19.65,0.236,✔️,0.0,False,GPU
-23,🧠⚡,Foundation Model,[SAP-RPT-OSS (default)](https://arxiv.org/abs/2506.10707),1396.0,+275/-233,0.458,23.49,4.93,17.032,22.56,1.484,➖,0.0,False,GPU
-24,🌳,Tree-based,[EBM (tuned + ensembled)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1350.0,+81/-75,0.128,26.23,22.79,20.66,63121.14,0.827,✔️,0.0,False,CPU
-25,🌳,Tree-based,[ExtraTrees (tuned + ensembled)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1347.0,+197/-182,0.237,26.4,12.64,23.009,717.53,1.628,✔️,0.0,False,CPU
-26,🧠🔁,Neural Network,[FastaiMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1339.0,+224/-167,0.252,26.9,11.52,21.961,2775.63,12.592,✔️,0.0,False,CPU
-27,🧠🔁,Neural Network,[TorchMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1338.0,+171/-109,0.114,26.91,19.1,21.152,4142.25,2.105,✔️,0.0,False,CPU
-28,🌳,Tree-based,[CatBoost (default)](https://arxiv.org/abs/1706.09516),1331.0,+80/-58,0.092,27.36,24.06,20.245,64.18,0.255,✔️,0.0,False,CPU
-29,❓,Other,[xRFM (tuned)](https://arxiv.org/abs/2508.10053),1327.0,+100/-111,0.182,27.57,15.66,21.29,2097.62,0.515,✔️,0.0,False,GPU
-30,🌳,Tree-based,[RandomForest (tuned + ensembled)](https://link.springer.com/article/10.1023/A:1010933404324),1312.0,+197/-205,0.242,28.5,12.88,23.234,755.05,2.155,✔️,0.0,False,CPU
-31,🌳,Tree-based,[EBM (tuned)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1302.0,+84/-77,0.072,29.06,24.55,21.503,63121.14,0.173,✔️,0.0,False,CPU
-32,🧠⚡,Foundation Model,[TabDPT (default)](https://arxiv.org/abs/2410.18164),1302.0,+230/-217,0.253,29.07,7.7,23.798,46.25,45.74,✔️,0.0,False,GPU
-33,🌳,Tree-based,[ExtraTrees (tuned)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1299.0,+201/-202,0.209,29.25,11.76,24.304,717.53,0.339,✔️,0.0,False,CPU
-34,🌳,Tree-based,[EBM (default)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1288.0,+143/-113,0.107,29.87,23.2,23.039,20.91,0.126,✔️,0.0,False,CPU
-35,🧠🔁,Neural Network,[FastaiMLP (tuned)](https://arxiv.org/abs/2003.06505),1279.0,+211/-157,0.135,30.35,16.42,23.295,2775.63,1.431,✔️,0.0,False,CPU
-36,🌳,Tree-based,[LightGBM (default)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1273.0,+172/-161,0.152,30.73,23.52,22.58,5.32,0.431,✔️,0.0,False,CPU
-37,🧠🔁,Neural Network,[TorchMLP (tuned)](https://arxiv.org/abs/2003.06505),1264.0,+136/-129,0.106,31.24,21.05,23.695,4142.25,0.287,✔️,0.0,False,CPU
-38,🌳,Tree-based,[RandomForest (tuned)](https://link.springer.com/article/10.1023/A:1010933404324),1256.0,+188/-216,0.171,31.7,10.74,24.764,755.05,0.317,✔️,0.0,False,CPU
-39,🌳,Tree-based,[XGBoost (default)](https://arxiv.org/abs/1603.02754),1235.0,+48/-46,0.0,32.83,30.79,22.177,5.48,0.599,✔️,0.0,False,CPU
-40,🧠🔁,Neural Network,[ModernNCA (default)](https://arxiv.org/abs/2407.03257),1218.0,+114/-123,0.036,33.75,26.47,26.337,20.96,0.482,✔️,0.0,False,GPU
-41,🧠🔁,Neural Network,[RealMLP (default)](https://arxiv.org/abs/2407.04491),1206.0,+72/-82,0.0,34.41,31.53,24.682,19.63,7.686,✔️,0.0,False,GPU
-42,❓,Other,[xRFM (default)](https://arxiv.org/abs/2508.10053),1157.0,+104/-149,0.053,36.96,31.5,26.234,10.84,2.189,✔️,0.0,False,GPU
-43,🧠🔁,Neural Network,[TorchMLP (default)](https://arxiv.org/abs/2003.06505),1086.0,+70/-131,0.0,40.26,31.5,28.766,14.75,0.337,✔️,0.0,False,CPU
-44,📏,Baseline,[KNN (tuned + ensembled)](https://scikit-learn.org/stable/modules/neighbors.html),1080.0,+215/-330,0.047,40.51,20.98,36.991,173.37,1.638,✔️,0.0,False,CPU
-45,📏,Baseline,[Linear (tuned + ensembled)](https://scikit-learn.org/stable/modules/linear_model.html),1046.0,+103/-215,0.0,41.93,39.78,38.74,905.14,0.875,✔️,0.0,False,CPU
-46,📏,Baseline,[Linear (tuned)](https://scikit-learn.org/stable/modules/linear_model.html),1012.0,+102/-240,0.0,43.23,40.94,39.299,905.14,0.175,✔️,0.0,False,CPU
-47,🌳,Tree-based,[RandomForest (default)](https://link.springer.com/article/10.1023/A:1010933404324),1000.0,+128/-222,0.0,43.68,39.93,37.638,0.85,0.148,✔️,0.0,False,CPU
-48,🧠🔁,Neural Network,[FastaiMLP (default)](https://arxiv.org/abs/2003.06505),994.0,+160/-186,0.0,43.88,41.4,32.443,8.97,0.743,✔️,0.0,False,CPU
-49,🌳,Tree-based,[ExtraTrees (default)](https://link.springer.com/article/10.1007/s10994-006-6226-1),945.0,+158/-229,0.0,45.51,42.21,39.564,0.78,0.147,✔️,0.0,False,CPU
-50,🧠⚡,Foundation Model,[TabFlex (default)](https://arxiv.org/abs/2506.05584),908.0,+42/-136,0.0,46.62,46.4,37.448,5.83,1.167,➖,0.0,False,GPU
-51,📏,Baseline,[KNN (tuned)](https://scikit-learn.org/stable/modules/neighbors.html),901.0,+261/-500,0.03,46.8,35.95,46.791,173.37,0.147,✔️,0.0,False,CPU
-52,📏,Baseline,[Linear (default)](https://scikit-learn.org/stable/modules/linear_model.html),789.0,+88/-246,0.0,49.43,49.04,46.193,4.72,0.188,✔️,0.0,False,CPU
-53,📏,Baseline,[KNN (default)](https://scikit-learn.org/stable/modules/neighbors.html),267.0,+114/-488,0.0,53.74,53.72,68.914,0.57,0.067,✔️,0.0,False,CPU
diff --git a/data/imputation_no/splits_all/tasks_multiclass/datasets_small/winrate_matrix.png.zip b/data/imputation_no/splits_all/tasks_multiclass/datasets_small/winrate_matrix.png.zip
deleted file mode 100644
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deleted file mode 100644
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deleted file mode 100644
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diff --git a/data/imputation_no/splits_all/tasks_multiclass/datasets_tabpfn/website_leaderboard.csv b/data/imputation_no/splits_all/tasks_multiclass/datasets_tabpfn/website_leaderboard.csv
deleted file mode 100644
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--- a/data/imputation_no/splits_all/tasks_multiclass/datasets_tabpfn/website_leaderboard.csv
+++ /dev/null
@@ -1,60 +0,0 @@
-#,Type,TypeName,Model,Elo [⬆️],Elo 95% CI,Score [⬆️],Rank [⬇️],Harmonic Rank [⬇️],Improvability (%) [⬇️],Median Train Time (s/1K) [⬇️],Median Predict Time (s/1K) [⬇️],Verified,Imputed (%) [⬇️],Imputed,Hardware
-0,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned + ensembled)](https://arxiv.org/abs/2511.08667),1854.0,+258/-94,0.853,6.4,2.7,9.067,2710.27,7.889,✔️,0.0,False,GPU
-1,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned)](https://arxiv.org/abs/2511.08667),1831.0,+239/-86,0.834,7.0,3.42,9.813,2710.27,1.076,✔️,0.0,False,GPU
-2,📊,Reference Pipeline,"[AutoGluon 1.4 (extreme, 4h)](https://arxiv.org/abs/2003.06505)",1815.0,+176/-79,0.82,7.46,4.91,13.168,1374.26,12.843,✔️,0.0,False,GPU
-3,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (default)](https://arxiv.org/abs/2511.08667),1780.0,+274/-128,0.788,8.54,4.44,10.383,10.23,0.844,✔️,0.0,False,GPU
-4,🧠⚡,Foundation Model,[TabPFNv2 (tuned + ensembled)](https://www.nature.com/articles/s41586-024-08328-6),1768.0,+293/-109,0.778,8.92,4.71,13.973,3585.96,32.815,✔️,0.0,False,GPU
-5,🧠🔁,Neural Network,[RealMLP (tuned + ensembled)](https://arxiv.org/abs/2407.04491),1689.0,+165/-40,0.638,11.83,6.68,14.217,4150.25,19.131,✔️,0.0,False,GPU
-6,🧠🔁,Neural Network,[LimiX (default)](https://arxiv.org/abs/2509.03505),1670.0,+167/-65,0.61,12.61,5.54,13.199,5.85,0.91,➖,0.0,False,GPU
-7,🧠🔁,Neural Network,[Mitra (default)](https://arxiv.org/abs/2510.21204),1660.0,+188/-104,0.613,13.01,7.5,16.287,205.23,4.488,✔️,0.0,False,GPU
-8,🧠⚡,Foundation Model,[TabPFNv2 (tuned)](https://www.nature.com/articles/s41586-024-08328-6),1617.0,+208/-103,0.551,14.97,6.78,16.57,3585.96,1.167,✔️,0.0,False,GPU
-9,🧠🔁,Neural Network,[RealMLP (tuned)](https://arxiv.org/abs/2407.04491),1613.0,+126/-44,0.539,15.14,9.34,15.614,4150.25,3.423,✔️,0.0,False,GPU
-10,🧠⚡,Foundation Model,[TabPFNv2 (default)](https://www.nature.com/articles/s41586-024-08328-6),1577.0,+200/-98,0.459,16.92,10.42,15.15,6.47,0.427,✔️,0.0,False,GPU
-11,📊,Reference Pipeline,"[AutoGluon 1.4 (best, 4h)](https://arxiv.org/abs/2003.06505)",1560.0,+264/-128,0.413,17.8,7.84,18.707,7307.18,4.205,✔️,0.0,False,CPU
-12,🧠🔁,Neural Network,[TabM (tuned + ensembled)](https://arxiv.org/abs/2410.24210),1535.0,+236/-106,0.404,19.09,10.39,19.65,5885.87,1.632,✔️,0.0,False,GPU
-13,🌳,Tree-based,[CatBoost (tuned + ensembled)](https://arxiv.org/abs/1706.09516),1499.0,+99/-40,0.29,21.05,17.75,18.709,3104.39,1.095,✔️,0.0,False,CPU
-14,🧠🔁,Neural Network,[TabM (tuned)](https://arxiv.org/abs/2410.24210),1484.0,+191/-110,0.339,21.88,10.31,20.579,5885.87,0.299,✔️,0.0,False,GPU
-15,🧠⚡,Foundation Model,[SAP-RPT-OSS (default)](https://arxiv.org/abs/2506.10707),1472.0,+432/-287,0.528,22.56,4.69,18.42,22.52,1.352,➖,0.0,False,GPU
-16,🧠⚡,Foundation Model,[TabDPT (tuned + ensembled)](https://arxiv.org/abs/2410.18164),1467.0,+218/-200,0.367,22.87,8.48,22.345,4513.63,201.505,✔️,0.0,False,GPU
-17,🧠🔁,Neural Network,[ModernNCA (tuned + ensembled)](https://arxiv.org/abs/2407.03257),1461.0,+122/-67,0.201,23.2,14.89,19.565,7367.31,7.816,✔️,0.0,False,GPU
-18,🌳,Tree-based,[CatBoost (tuned)](https://arxiv.org/abs/1706.09516),1456.0,+90/-49,0.205,23.49,19.54,19.58,3104.39,0.18,✔️,0.0,False,CPU
-19,🌳,Tree-based,[XGBoost (tuned)](https://arxiv.org/abs/1603.02754),1456.0,+134/-60,0.23,23.49,18.66,20.933,2210.02,1.236,✔️,0.0,False,CPU
-20,🌳,Tree-based,[LightGBM (tuned + ensembled)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1450.0,+210/-85,0.217,23.88,17.99,20.755,1377.29,6.652,✔️,0.0,False,CPU
-21,🌳,Tree-based,[XGBoost (tuned + ensembled)](https://arxiv.org/abs/1603.02754),1443.0,+142/-61,0.215,24.25,19.16,21.131,2210.02,7.723,✔️,0.0,False,CPU
-22,🌳,Tree-based,[LightGBM (tuned)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1439.0,+184/-68,0.186,24.5,19.44,20.984,1377.29,1.395,✔️,0.0,False,CPU
-23,🧠⚡,Foundation Model,[BetaTabPFN (default)](https://arxiv.org/abs/2502.02527),1421.0,+190/-125,0.239,25.55,19.86,21.77,696.38,4.428,➖,0.0,False,GPU
-24,🧠⚡,Foundation Model,[TabDPT (tuned)](https://arxiv.org/abs/2410.18164),1419.0,+226/-222,0.33,25.7,8.76,24.025,4513.63,26.967,✔️,0.0,False,GPU
-25,🧠⚡,Foundation Model,[TabICL (default)](https://arxiv.org/abs/2502.05564),1412.0,+227/-154,0.286,26.11,10.68,22.404,12.57,2.243,✔️,0.0,False,GPU
-26,🧠🔁,Neural Network,[TabM (default)](https://arxiv.org/abs/2410.24210),1408.0,+200/-143,0.265,26.33,15.63,22.627,17.83,0.197,✔️,0.0,False,GPU
-27,❓,Other,[xRFM (tuned + ensembled)](https://arxiv.org/abs/2508.10053),1401.0,+141/-150,0.192,26.76,21.89,22.196,1880.81,2.744,✔️,0.0,False,GPU
-28,🧠🔁,Neural Network,[ModernNCA (tuned)](https://arxiv.org/abs/2407.03257),1399.0,+85/-74,0.091,26.84,14.45,20.13,7367.31,0.587,✔️,0.0,False,GPU
-29,🧠🔁,Neural Network,[FastaiMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1370.0,+296/-274,0.274,28.56,11.66,24.902,2644.99,12.716,✔️,0.0,False,CPU
-30,🧠🔁,Neural Network,[TorchMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1335.0,+188/-163,0.119,30.67,21.95,24.38,4654.35,2.028,✔️,0.0,False,CPU
-31,🌳,Tree-based,[EBM (tuned + ensembled)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1331.0,+126/-102,0.074,30.94,26.31,23.99,36484.23,0.712,✔️,0.0,False,CPU
-32,🌳,Tree-based,[CatBoost (default)](https://arxiv.org/abs/1706.09516),1310.0,+123/-79,0.058,32.13,28.3,23.48,264.83,0.227,✔️,0.0,False,CPU
-33,🧠⚡,Foundation Model,[TabDPT (default)](https://arxiv.org/abs/2410.18164),1309.0,+329/-286,0.292,32.21,7.62,27.455,40.51,46.546,✔️,0.0,False,GPU
-34,❓,Other,[xRFM (tuned)](https://arxiv.org/abs/2508.10053),1280.0,+137/-143,0.088,33.89,28.16,24.812,1880.81,0.353,✔️,0.0,False,GPU
-35,🧠🔁,Neural Network,[FastaiMLP (tuned)](https://arxiv.org/abs/2003.06505),1279.0,+255/-249,0.131,33.96,18.43,26.421,2644.99,1.47,✔️,0.0,False,CPU
-36,🌳,Tree-based,[EBM (tuned)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1274.0,+101/-95,0.025,34.28,28.32,24.955,36484.23,0.127,✔️,0.0,False,CPU
-37,🌳,Tree-based,[ExtraTrees (tuned + ensembled)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1271.0,+173/-199,0.1,34.45,27.64,26.924,717.36,1.838,✔️,0.0,False,CPU
-38,🧠🔁,Neural Network,[ModernNCA (default)](https://arxiv.org/abs/2407.03257),1249.0,+115/-84,0.03,35.71,28.82,27.113,17.94,0.418,✔️,0.0,False,GPU
-39,🌳,Tree-based,[XGBoost (default)](https://arxiv.org/abs/1603.02754),1240.0,+62/-58,0.0,36.18,34.36,25.23,4.72,0.714,✔️,0.0,False,CPU
-40,🌳,Tree-based,[RandomForest (tuned + ensembled)](https://link.springer.com/article/10.1023/A:1010933404324),1233.0,+177/-242,0.11,36.61,23.48,27.18,737.91,2.289,✔️,0.0,False,CPU
-41,🧠🔁,Neural Network,[RealMLP (default)](https://arxiv.org/abs/2407.04491),1224.0,+66/-87,0.0,37.07,34.49,27.069,20.73,8.179,✔️,0.0,False,GPU
-42,🧠🔁,Neural Network,[TorchMLP (tuned)](https://arxiv.org/abs/2003.06505),1221.0,+172/-142,0.061,37.25,24.99,27.526,4654.35,0.223,✔️,0.0,False,CPU
-43,🌳,Tree-based,[EBM (default)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1216.0,+97/-83,0.0,37.55,35.3,26.871,14.75,0.108,✔️,0.0,False,CPU
-44,🌳,Tree-based,[ExtraTrees (tuned)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1206.0,+156/-215,0.061,38.05,30.01,28.442,717.36,0.326,✔️,0.0,False,CPU
-45,🌳,Tree-based,[LightGBM (default)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1198.0,+182/-146,0.054,38.47,35.02,26.339,5.04,0.449,✔️,0.0,False,CPU
-46,🌳,Tree-based,[RandomForest (tuned)](https://link.springer.com/article/10.1023/A:1010933404324),1156.0,+156/-228,0.028,40.7,28.24,28.978,737.91,0.316,✔️,0.0,False,CPU
-47,❓,Other,[xRFM (default)](https://arxiv.org/abs/2508.10053),1151.0,+171/-232,0.059,40.94,34.96,29.89,9.81,2.345,✔️,0.0,False,GPU
-48,📏,Baseline,[Linear (tuned + ensembled)](https://scikit-learn.org/stable/modules/linear_model.html),1064.0,+121/-249,0.0,44.99,43.05,37.281,892.95,0.895,✔️,0.0,False,CPU
-49,🧠🔁,Neural Network,[TorchMLP (default)](https://arxiv.org/abs/2003.06505),1061.0,+120/-198,0.0,45.11,33.8,32.806,13.69,0.314,✔️,0.0,False,CPU
-50,📏,Baseline,[Linear (tuned)](https://scikit-learn.org/stable/modules/linear_model.html),1027.0,+107/-286,0.0,46.51,44.12,37.933,892.95,0.146,✔️,0.0,False,CPU
-51,🌳,Tree-based,[RandomForest (default)](https://link.springer.com/article/10.1023/A:1010933404324),1000.0,+166/-304,0.0,47.55,43.63,38.428,0.74,0.137,✔️,0.0,False,CPU
-52,🧠🔁,Neural Network,[FastaiMLP (default)](https://arxiv.org/abs/2003.06505),983.0,+169/-237,0.0,48.16,45.47,34.887,8.51,0.828,✔️,0.0,False,CPU
-53,📏,Baseline,[KNN (tuned + ensembled)](https://scikit-learn.org/stable/modules/neighbors.html),957.0,+207/-446,0.0,49.08,42.18,43.003,151.69,1.252,✔️,0.0,False,CPU
-54,🌳,Tree-based,[ExtraTrees (default)](https://link.springer.com/article/10.1007/s10994-006-6226-1),935.0,+190/-378,0.0,49.76,46.49,40.494,0.69,0.137,✔️,0.0,False,CPU
-55,🧠⚡,Foundation Model,[TabFlex (default)](https://arxiv.org/abs/2506.05584),852.0,+29/-148,0.0,52.11,51.92,42.542,5.05,1.013,➖,0.0,False,GPU
-56,📏,Baseline,[Linear (default)](https://scikit-learn.org/stable/modules/linear_model.html),779.0,+98/-284,0.0,53.77,53.43,43.779,4.53,0.164,✔️,0.0,False,CPU
-57,📏,Baseline,[KNN (tuned)](https://scikit-learn.org/stable/modules/neighbors.html),595.0,+131/-452,0.0,56.43,56.03,54.395,151.69,0.099,✔️,0.0,False,CPU
-58,📏,Baseline,[KNN (default)](https://scikit-learn.org/stable/modules/neighbors.html),180.0,+144/-928,0.0,58.75,58.73,69.958,0.52,0.056,✔️,0.0,False,CPU
diff --git a/data/imputation_no/splits_all/tasks_multiclass/datasets_tabpfn/winrate_matrix.png.zip b/data/imputation_no/splits_all/tasks_multiclass/datasets_tabpfn/winrate_matrix.png.zip
deleted file mode 100644
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--- a/data/imputation_no/splits_all/tasks_multiclass/datasets_tabpfn/winrate_matrix.png.zip
+++ /dev/null
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deleted file mode 100644
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diff --git a/data/imputation_no/splits_all/tasks_regression/datasets_all/pareto_front_improvability_vs_time_infer.png.zip b/data/imputation_no/splits_all/tasks_regression/datasets_all/pareto_front_improvability_vs_time_infer.png.zip
deleted file mode 100644
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diff --git a/data/imputation_no/splits_all/tasks_regression/datasets_all/tuning-impact-elo.png.zip b/data/imputation_no/splits_all/tasks_regression/datasets_all/tuning-impact-elo.png.zip
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diff --git a/data/imputation_no/splits_all/tasks_regression/datasets_all/website_leaderboard.csv b/data/imputation_no/splits_all/tasks_regression/datasets_all/website_leaderboard.csv
deleted file mode 100644
index 305a12689e01f9f9d7ee0a1a79cece80ca57e8f3..0000000000000000000000000000000000000000
--- a/data/imputation_no/splits_all/tasks_regression/datasets_all/website_leaderboard.csv
+++ /dev/null
@@ -1,53 +0,0 @@
-#,Type,TypeName,Model,Elo [⬆️],Elo 95% CI,Score [⬆️],Rank [⬇️],Harmonic Rank [⬇️],Improvability (%) [⬇️],Median Train Time (s/1K) [⬇️],Median Predict Time (s/1K) [⬇️],Verified,Imputed (%) [⬇️],Imputed,Hardware
-0,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned + ensembled)](https://arxiv.org/abs/2511.08667),1803.0,+185/-125,0.811,6.39,2.58,1.5,1709.05,8.122,✔️,0.0,False,GPU
-1,🧠⚡,Foundation Model,[TabDPT (tuned + ensembled)](https://arxiv.org/abs/2410.18164),1772.0,+137/-82,0.785,7.22,2.67,2.411,4786.55,239.537,✔️,0.0,False,GPU
-2,📊,Reference Pipeline,"[AutoGluon 1.4 (extreme, 4h)](https://arxiv.org/abs/2003.06505)",1747.0,+122/-76,0.693,7.9,3.96,2.922,649.34,5.869,✔️,0.0,False,GPU
-3,🧠⚡,Foundation Model,[TabDPT (tuned)](https://arxiv.org/abs/2410.18164),1719.0,+111/-72,0.722,8.77,4.35,2.862,4786.55,38.501,✔️,0.0,False,GPU
-4,🧠🔁,Neural Network,[RealMLP (tuned + ensembled)](https://arxiv.org/abs/2407.04491),1717.0,+113/-64,0.669,8.81,5.48,3.21,3995.01,10.051,✔️,0.0,False,GPU
-5,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned)](https://arxiv.org/abs/2511.08667),1677.0,+178/-116,0.692,10.14,4.36,2.26,1709.05,0.812,✔️,0.0,False,GPU
-6,📊,Reference Pipeline,"[AutoGluon 1.4 (best, 4h)](https://arxiv.org/abs/2003.06505)",1663.0,+108/-89,0.557,10.65,6.43,4.654,1866.07,6.07,✔️,0.0,False,CPU
-7,🧠⚡,Foundation Model,[TabDPT (default)](https://arxiv.org/abs/2410.18164),1622.0,+129/-70,0.591,12.18,4.87,3.806,46.62,39.212,✔️,0.0,False,GPU
-8,🧠🔁,Neural Network,[RealMLP (tuned)](https://arxiv.org/abs/2407.04491),1597.0,+108/-79,0.508,13.15,8.0,4.19,3995.01,0.844,✔️,0.0,False,GPU
-9,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (default)](https://arxiv.org/abs/2511.08667),1590.0,+164/-117,0.551,13.43,7.41,3.773,7.04,0.508,✔️,0.0,False,GPU
-10,🧠🔁,Neural Network,[ModernNCA (tuned + ensembled)](https://arxiv.org/abs/2407.03257),1588.0,+130/-118,0.502,13.5,5.47,5.542,3779.52,7.69,✔️,0.0,False,GPU
-11,🌳,Tree-based,[CatBoost (tuned + ensembled)](https://arxiv.org/abs/1706.09516),1525.0,+103/-60,0.356,16.07,9.92,6.235,3552.96,0.966,✔️,0.0,False,CPU
-12,🌳,Tree-based,[LightGBM (tuned + ensembled)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1516.0,+96/-80,0.349,16.46,12.78,6.697,700.15,9.322,✔️,0.0,False,CPU
-13,❓,Other,[xRFM (tuned + ensembled)](https://arxiv.org/abs/2508.10053),1506.0,+119/-89,0.374,16.88,10.51,5.725,714.5,1.376,✔️,0.0,False,GPU
-14,🌳,Tree-based,[CatBoost (tuned)](https://arxiv.org/abs/1706.09516),1500.0,+107/-74,0.334,17.15,9.57,6.355,3552.96,0.105,✔️,0.0,False,CPU
-15,🧠🔁,Neural Network,[TabM (tuned + ensembled)](https://arxiv.org/abs/2410.24210),1487.0,+140/-88,0.34,17.76,12.77,5.128,4158.29,1.41,✔️,0.0,False,GPU
-16,🌳,Tree-based,[LightGBM (tuned)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1449.0,+87/-71,0.262,19.54,15.19,7.289,700.15,0.968,✔️,0.0,False,CPU
-17,🧠🔁,Neural Network,[LimiX (default)](https://arxiv.org/abs/2509.03505),1441.0,+187/-187,0.417,19.89,5.57,13.161,5.2,0.755,➖,0.0,False,GPU
-18,🌳,Tree-based,[XGBoost (tuned + ensembled)](https://arxiv.org/abs/1603.02754),1433.0,+58/-44,0.24,20.29,17.66,7.231,834.93,2.614,✔️,0.0,False,CPU
-19,❓,Other,[xRFM (tuned)](https://arxiv.org/abs/2508.10053),1419.0,+94/-83,0.258,20.96,16.78,6.401,714.5,0.099,✔️,0.0,False,GPU
-20,🌳,Tree-based,[XGBoost (tuned)](https://arxiv.org/abs/1603.02754),1413.0,+61/-49,0.207,21.28,18.04,7.379,834.93,0.388,✔️,0.0,False,CPU
-21,🧠🔁,Neural Network,[ModernNCA (tuned)](https://arxiv.org/abs/2407.03257),1411.0,+112/-86,0.266,21.35,12.99,7.54,3779.52,0.396,✔️,0.0,False,GPU
-22,🧠🔁,Neural Network,[TabM (tuned)](https://arxiv.org/abs/2410.24210),1402.0,+126/-102,0.239,21.81,14.98,6.084,4158.29,0.167,✔️,0.0,False,GPU
-23,🌳,Tree-based,[CatBoost (default)](https://arxiv.org/abs/1706.09516),1394.0,+103/-103,0.25,22.17,15.84,7.936,10.89,0.092,✔️,0.0,False,CPU
-24,🧠🔁,Neural Network,[ModernNCA (default)](https://arxiv.org/abs/2407.03257),1301.0,+90/-74,0.119,26.55,21.3,9.08,15.5,0.299,✔️,0.0,False,GPU
-25,🧠🔁,Neural Network,[TabM (default)](https://arxiv.org/abs/2410.24210),1300.0,+141/-120,0.15,26.62,20.39,7.802,13.32,0.131,✔️,0.0,False,GPU
-26,🧠⚡,Foundation Model,[SAP-RPT-OSS (default)](https://arxiv.org/abs/2506.10707),1300.0,+145/-139,0.224,26.64,11.92,9.111,20.22,6.621,➖,0.0,False,GPU
-27,🧠🔁,Neural Network,[TorchMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1271.0,+126/-102,0.108,28.0,19.57,9.293,4608.59,1.233,✔️,0.0,False,CPU
-28,🧠🔁,Neural Network,[RealMLP (default)](https://arxiv.org/abs/2407.04491),1258.0,+128/-91,0.087,28.61,22.86,8.817,8.9,1.645,✔️,0.0,False,GPU
-29,🌳,Tree-based,[ExtraTrees (tuned + ensembled)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1230.0,+119/-103,0.104,29.93,22.21,11.631,158.22,0.844,✔️,0.0,False,CPU
-30,🌳,Tree-based,[LightGBM (default)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1222.0,+42/-41,0.005,30.32,28.92,9.722,2.11,0.275,✔️,0.0,False,CPU
-31,🧠🔁,Neural Network,[TorchMLP (tuned)](https://arxiv.org/abs/2003.06505),1209.0,+111/-102,0.073,30.92,23.15,10.084,4608.59,0.097,✔️,0.0,False,CPU
-32,🌳,Tree-based,[ExtraTrees (tuned)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1204.0,+106/-96,0.08,31.19,21.48,11.844,158.22,0.151,✔️,0.0,False,CPU
-33,🌳,Tree-based,[XGBoost (default)](https://arxiv.org/abs/1603.02754),1198.0,+82/-82,0.062,31.42,27.85,10.382,2.24,0.242,✔️,0.0,False,CPU
-34,🌳,Tree-based,[EBM (tuned + ensembled)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1173.0,+129/-162,0.109,32.58,23.72,12.878,2929.85,0.294,✔️,0.0,False,CPU
-35,❓,Other,[xRFM (default)](https://arxiv.org/abs/2508.10053),1170.0,+113/-116,0.037,32.73,25.84,12.148,2.45,0.743,✔️,0.0,False,GPU
-36,🌳,Tree-based,[RandomForest (tuned + ensembled)](https://link.springer.com/article/10.1023/A:1010933404324),1167.0,+71/-93,0.033,32.84,30.38,12.402,515.73,0.771,✔️,0.0,False,CPU
-37,🌳,Tree-based,[RandomForest (tuned)](https://link.springer.com/article/10.1023/A:1010933404324),1132.0,+66/-96,0.024,34.37,31.91,12.89,515.73,0.124,✔️,0.0,False,CPU
-38,🌳,Tree-based,[EBM (tuned)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1124.0,+133/-165,0.085,34.69,25.15,13.415,2929.85,0.03,✔️,0.0,False,CPU
-39,🌳,Tree-based,[ExtraTrees (default)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1081.0,+102/-124,0.011,36.4,32.43,13.783,0.47,0.055,✔️,0.0,False,CPU
-40,🌳,Tree-based,[EBM (default)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1055.0,+128/-181,0.046,37.42,31.89,14.352,8.47,0.035,✔️,0.0,False,CPU
-41,🧠🔁,Neural Network,[FastaiMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1052.0,+100/-120,0.02,37.52,34.93,13.759,540.06,2.672,✔️,0.0,False,CPU
-42,🧠🔁,Neural Network,[TorchMLP (default)](https://arxiv.org/abs/2003.06505),1042.0,+85/-105,0.0,37.91,35.79,13.516,20.48,0.08,✔️,0.0,False,CPU
-43,🌳,Tree-based,[RandomForest (default)](https://link.springer.com/article/10.1023/A:1010933404324),1000.0,+53/-82,0.0,39.4,38.14,14.407,0.53,0.062,✔️,0.0,False,CPU
-44,🧠🔁,Neural Network,[FastaiMLP (tuned)](https://arxiv.org/abs/2003.06505),996.0,+97/-107,0.01,39.55,37.75,14.246,540.06,0.325,✔️,0.0,False,CPU
-45,📏,Baseline,[KNN (tuned + ensembled)](https://scikit-learn.org/stable/modules/neighbors.html),909.0,+148/-173,0.006,42.29,36.86,19.577,92.55,0.897,✔️,0.0,False,CPU
-46,🧠🔁,Neural Network,[FastaiMLP (default)](https://arxiv.org/abs/2003.06505),866.0,+108/-171,0.0,43.45,42.48,18.508,2.6,0.392,✔️,0.0,False,CPU
-47,📏,Baseline,[KNN (tuned)](https://scikit-learn.org/stable/modules/neighbors.html),800.0,+148/-186,0.0,44.98,41.02,22.0,92.55,0.052,✔️,0.0,False,CPU
-48,📏,Baseline,[KNN (default)](https://scikit-learn.org/stable/modules/neighbors.html),666.0,+197/-294,0.0,47.39,40.32,29.183,0.19,0.04,✔️,0.0,False,CPU
-49,📏,Baseline,[Linear (tuned + ensembled)](https://scikit-learn.org/stable/modules/linear_model.html),500.0,+138/-312,0.0,49.39,49.21,36.401,193.95,0.173,✔️,0.0,False,CPU
-50,📏,Baseline,[Linear (tuned)](https://scikit-learn.org/stable/modules/linear_model.html),453.0,+160/-379,0.0,49.83,49.63,36.574,193.95,0.074,✔️,0.0,False,CPU
-51,📏,Baseline,[Linear (default)](https://scikit-learn.org/stable/modules/linear_model.html),242.0,+139/-388,0.0,51.31,51.29,39.009,0.95,0.097,✔️,0.0,False,CPU
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-#,Type,TypeName,Model,Elo [⬆️],Elo 95% CI,Score [⬆️],Rank [⬇️],Harmonic Rank [⬇️],Improvability (%) [⬇️],Median Train Time (s/1K) [⬇️],Median Predict Time (s/1K) [⬇️],Verified,Imputed (%) [⬇️],Imputed,Hardware
-0,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned + ensembled)](https://arxiv.org/abs/2511.08667),2047.0,+764/-106,0.863,4.4,2.67,1.209,735.58,9.557,✔️,0.0,False,GPU
-1,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned)](https://arxiv.org/abs/2511.08667),1950.0,+666/-113,0.804,6.31,4.21,1.696,735.58,0.714,✔️,0.0,False,GPU
-2,🧠🔁,Neural Network,[ModernNCA (tuned + ensembled)](https://arxiv.org/abs/2407.03257),1901.0,+626/-36,0.714,7.47,5.68,2.304,2526.28,3.717,✔️,0.0,False,GPU
-3,🧠⚡,Foundation Model,[TabDPT (tuned + ensembled)](https://arxiv.org/abs/2410.18164),1896.0,+870/-123,0.784,7.6,2.16,1.293,4786.55,361.217,✔️,0.0,False,GPU
-4,📊,Reference Pipeline,"[AutoGluon 1.4 (best, 4h)](https://arxiv.org/abs/2003.06505)",1884.0,+405/-19,0.661,7.91,4.94,3.331,473.01,8.73,✔️,0.0,False,CPU
-5,🧠🔁,Neural Network,[RealMLP (tuned + ensembled)](https://arxiv.org/abs/2407.04491),1878.0,+626/-101,0.69,8.04,5.61,2.7,2028.29,1.675,✔️,0.0,False,GPU
-6,📊,Reference Pipeline,"[AutoGluon 1.4 (extreme, 4h)](https://arxiv.org/abs/2003.06505)",1856.0,+413/-22,0.644,8.64,4.37,3.488,430.4,7.174,✔️,0.0,False,GPU
-7,🧠⚡,Foundation Model,[TabDPT (tuned)](https://arxiv.org/abs/2410.18164),1827.0,+835/-112,0.72,9.49,4.23,1.707,4786.55,41.599,✔️,0.0,False,GPU
-8,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (default)](https://arxiv.org/abs/2511.08667),1781.0,+682/-204,0.563,10.87,7.04,2.636,1.6,0.508,✔️,0.0,False,GPU
-9,🧠⚡,Foundation Model,[TabDPT (default)](https://arxiv.org/abs/2410.18164),1728.0,+756/-126,0.596,12.6,4.97,2.355,45.77,39.212,✔️,0.0,False,GPU
-10,🧠🔁,Neural Network,[RealMLP (tuned)](https://arxiv.org/abs/2407.04491),1702.0,+631/-121,0.537,13.47,8.53,3.741,2028.29,0.081,✔️,0.0,False,GPU
-11,❓,Other,[xRFM (tuned + ensembled)](https://arxiv.org/abs/2508.10053),1660.0,+414/-86,0.477,14.91,9.51,4.288,425.61,0.615,✔️,0.0,False,GPU
-12,🌳,Tree-based,[LightGBM (tuned + ensembled)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1647.0,+417/-129,0.388,15.38,11.27,5.936,222.05,11.236,✔️,0.0,False,CPU
-13,🌳,Tree-based,[CatBoost (tuned + ensembled)](https://arxiv.org/abs/1706.09516),1626.0,+343/-86,0.356,16.13,8.87,6.099,1658.41,0.742,✔️,0.0,False,CPU
-14,🧠🔁,Neural Network,[ModernNCA (tuned)](https://arxiv.org/abs/2407.03257),1602.0,+520/-127,0.446,17.0,13.53,4.108,2526.28,0.166,✔️,0.0,False,GPU
-15,🌳,Tree-based,[CatBoost (tuned)](https://arxiv.org/abs/1706.09516),1595.0,+380/-166,0.35,17.24,7.29,6.197,1658.41,0.059,✔️,0.0,False,CPU
-16,🌳,Tree-based,[LightGBM (tuned)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1594.0,+350/-124,0.327,17.29,13.7,6.24,222.05,0.968,✔️,0.0,False,CPU
-17,🧠🔁,Neural Network,[TabM (tuned + ensembled)](https://arxiv.org/abs/2410.24210),1580.0,+488/-198,0.341,17.82,14.46,5.117,3440.87,0.619,✔️,0.0,False,GPU
-18,❓,Other,[xRFM (tuned)](https://arxiv.org/abs/2508.10053),1533.0,+333/-88,0.3,19.6,17.39,5.243,425.61,0.04,✔️,0.0,False,GPU
-19,🧠🔁,Neural Network,[LimiX (default)](https://arxiv.org/abs/2509.03505),1529.0,+582/-198,0.312,19.76,5.04,4.564,2.06,0.755,➖,0.0,False,GPU
-20,🌳,Tree-based,[CatBoost (default)](https://arxiv.org/abs/1706.09516),1507.0,+389/-310,0.326,20.6,14.61,6.882,5.49,0.037,✔️,0.0,False,CPU
-21,🧠🔁,Neural Network,[TabM (tuned)](https://arxiv.org/abs/2410.24210),1506.0,+419/-165,0.24,20.64,18.61,5.96,3440.87,0.052,✔️,0.0,False,GPU
-22,🌳,Tree-based,[XGBoost (tuned + ensembled)](https://arxiv.org/abs/1603.02754),1488.0,+296/-123,0.218,21.29,19.54,6.83,282.13,1.74,✔️,0.0,False,CPU
-23,🧠🔁,Neural Network,[ModernNCA (default)](https://arxiv.org/abs/2407.03257),1488.0,+498/-141,0.29,21.31,18.73,5.272,6.88,0.094,✔️,0.0,False,GPU
-24,🌳,Tree-based,[XGBoost (tuned)](https://arxiv.org/abs/1603.02754),1477.0,+282/-127,0.2,21.71,19.41,6.953,282.13,0.388,✔️,0.0,False,CPU
-25,🌳,Tree-based,[XGBoost (default)](https://arxiv.org/abs/1603.02754),1340.0,+331/-237,0.161,26.8,22.15,8.067,0.6,0.08,✔️,0.0,False,CPU
-26,🧠🔁,Neural Network,[TabM (default)](https://arxiv.org/abs/2410.24210),1316.0,+308/-192,0.09,27.69,25.31,7.827,5.03,0.025,✔️,0.0,False,GPU
-27,❓,Other,[xRFM (default)](https://arxiv.org/abs/2508.10053),1294.0,+235/-101,0.011,28.53,27.45,8.79,2.28,0.13,✔️,0.0,False,GPU
-28,🧠🔁,Neural Network,[TorchMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1289.0,+216/-86,0.061,28.69,27.06,8.242,4348.61,0.528,✔️,0.0,False,CPU
-29,🌳,Tree-based,[LightGBM (default)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1280.0,+286/-140,0.013,29.02,28.13,8.309,0.55,0.233,✔️,0.0,False,CPU
-30,🧠🔁,Neural Network,[TorchMLP (tuned)](https://arxiv.org/abs/2003.06505),1212.0,+206/-194,0.038,31.44,29.68,9.231,4348.61,0.034,✔️,0.0,False,CPU
-31,🧠🔁,Neural Network,[RealMLP (default)](https://arxiv.org/abs/2407.04491),1189.0,+234/-185,0.001,32.24,31.03,9.7,6.75,0.235,✔️,0.0,False,GPU
-32,🌳,Tree-based,[ExtraTrees (tuned + ensembled)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1172.0,+372/-356,0.022,32.84,30.78,10.264,35.67,0.529,✔️,0.0,False,CPU
-33,🌳,Tree-based,[RandomForest (tuned + ensembled)](https://link.springer.com/article/10.1023/A:1010933404324),1153.0,+93/-122,0.0,33.49,33.19,9.993,79.08,0.546,✔️,0.0,False,CPU
-34,🌳,Tree-based,[ExtraTrees (tuned)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1141.0,+280/-307,0.007,33.87,32.55,10.361,35.67,0.05,✔️,0.0,False,CPU
-35,🧠⚡,Foundation Model,[SAP-RPT-OSS (default)](https://arxiv.org/abs/2506.10707),1140.0,+414/-404,0.117,33.91,25.88,9.879,8.79,7.637,➖,0.0,False,GPU
-36,🌳,Tree-based,[RandomForest (tuned)](https://link.springer.com/article/10.1023/A:1010933404324),1126.0,+116/-182,0.0,34.38,33.98,10.297,79.08,0.057,✔️,0.0,False,CPU
-37,🌳,Tree-based,[EBM (tuned + ensembled)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1086.0,+378/-683,0.145,35.67,30.41,13.832,2044.56,0.128,✔️,0.0,False,CPU
-38,🧠🔁,Neural Network,[TorchMLP (default)](https://arxiv.org/abs/2003.06505),1032.0,+193/-356,0.001,37.31,35.66,13.252,15.08,0.028,✔️,0.0,False,CPU
-39,🌳,Tree-based,[ExtraTrees (default)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1018.0,+370/-475,0.007,37.71,35.47,12.06,0.17,0.049,✔️,0.0,False,CPU
-40,🌳,Tree-based,[EBM (tuned)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1015.0,+356/-736,0.117,37.82,34.06,14.402,2044.56,0.01,✔️,0.0,False,CPU
-41,🌳,Tree-based,[RandomForest (default)](https://link.springer.com/article/10.1023/A:1010933404324),1000.0,+53/-251,0.0,38.24,38.08,11.446,0.43,0.053,✔️,0.0,False,CPU
-42,🌳,Tree-based,[EBM (default)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),963.0,+363/-777,0.106,39.27,35.64,15.083,3.66,0.011,✔️,0.0,False,CPU
-43,🧠🔁,Neural Network,[FastaiMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),841.0,+67/-394,0.0,42.22,41.93,14.323,318.98,0.827,✔️,0.0,False,CPU
-44,🧠🔁,Neural Network,[FastaiMLP (tuned)](https://arxiv.org/abs/2003.06505),786.0,+61/-473,0.0,43.31,43.1,14.781,318.98,0.114,✔️,0.0,False,CPU
-45,📏,Baseline,[KNN (tuned + ensembled)](https://scikit-learn.org/stable/modules/neighbors.html),785.0,+97/-596,0.0,43.33,43.12,18.087,142.58,1.184,✔️,0.0,False,CPU
-46,📏,Baseline,[KNN (tuned)](https://scikit-learn.org/stable/modules/neighbors.html),651.0,+66/-607,0.0,45.53,45.43,20.643,142.58,0.064,✔️,0.0,False,CPU
-47,🧠🔁,Neural Network,[FastaiMLP (default)](https://arxiv.org/abs/2003.06505),602.0,+108/-646,0.0,46.18,45.96,18.384,1.36,0.111,✔️,0.0,False,CPU
-48,📏,Baseline,[KNN (default)](https://scikit-learn.org/stable/modules/neighbors.html),338.0,+94/-1186,0.0,48.51,48.42,28.1,0.06,0.034,✔️,0.0,False,CPU
-49,📏,Baseline,[Linear (tuned + ensembled)](https://scikit-learn.org/stable/modules/linear_model.html),70.0,+111/-1680,0.0,49.92,49.92,39.828,44.3,0.048,✔️,0.0,False,CPU
-50,📏,Baseline,[Linear (tuned)](https://scikit-learn.org/stable/modules/linear_model.html),-125.0,+167/-2054,0.0,50.77,50.76,40.21,44.3,0.011,✔️,0.0,False,CPU
-51,📏,Baseline,[Linear (default)](https://scikit-learn.org/stable/modules/linear_model.html),-424.0,+210/-2019,0.0,51.8,51.8,43.378,0.13,0.018,✔️,0.0,False,CPU
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-#,Type,TypeName,Model,Elo [⬆️],Elo 95% CI,Score [⬆️],Rank [⬇️],Harmonic Rank [⬇️],Improvability (%) [⬇️],Median Train Time (s/1K) [⬇️],Median Predict Time (s/1K) [⬇️],Verified,Imputed (%) [⬇️],Imputed,Hardware
-0,🧠⚡,Foundation Model,[TabDPT (tuned + ensembled)](https://arxiv.org/abs/2410.18164),1757.0,+147/-66,0.785,6.98,3.13,3.11,4822.0,140.81,✔️,0.0,False,GPU
-1,📊,Reference Pipeline,"[AutoGluon 1.4 (extreme, 4h)](https://arxiv.org/abs/2003.06505)",1740.0,+230/-91,0.724,7.44,3.75,2.568,709.58,5.864,✔️,0.0,False,GPU
-2,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned + ensembled)](https://arxiv.org/abs/2511.08667),1734.0,+290/-141,0.778,7.63,2.52,1.682,2306.87,7.231,✔️,0.0,False,GPU
-3,🧠⚡,Foundation Model,[TabDPT (tuned)](https://arxiv.org/abs/2410.18164),1711.0,+122/-56,0.724,8.32,4.43,3.584,4822.0,22.324,✔️,0.0,False,GPU
-4,🧠🔁,Neural Network,[RealMLP (tuned + ensembled)](https://arxiv.org/abs/2407.04491),1681.0,+128/-57,0.656,9.28,5.4,3.528,4558.61,33.853,✔️,0.0,False,GPU
-5,🧠⚡,Foundation Model,[TabDPT (default)](https://arxiv.org/abs/2410.18164),1609.0,+127/-52,0.589,11.92,4.81,4.712,48.13,42.001,✔️,0.0,False,GPU
-6,📊,Reference Pipeline,"[AutoGluon 1.4 (best, 4h)](https://arxiv.org/abs/2003.06505)",1598.0,+140/-79,0.492,12.36,7.92,5.48,5805.42,4.31,✔️,0.0,False,CPU
-7,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned)](https://arxiv.org/abs/2511.08667),1594.0,+234/-135,0.622,12.54,4.46,2.613,2306.87,0.902,✔️,0.0,False,GPU
-8,🧠🔁,Neural Network,[RealMLP (tuned)](https://arxiv.org/abs/2407.04491),1583.0,+129/-74,0.489,12.96,7.7,4.472,4558.61,2.234,✔️,0.0,False,GPU
-9,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (default)](https://arxiv.org/abs/2511.08667),1535.0,+225/-156,0.543,15.04,7.67,4.483,7.67,0.547,✔️,0.0,False,GPU
-10,🌳,Tree-based,[CatBoost (tuned + ensembled)](https://arxiv.org/abs/1706.09516),1513.0,+138/-75,0.355,16.03,10.72,6.32,4430.73,1.103,✔️,0.0,False,CPU
-11,🌳,Tree-based,[CatBoost (tuned)](https://arxiv.org/abs/1706.09516),1490.0,+137/-72,0.324,17.1,11.89,6.453,4430.73,0.179,✔️,0.0,False,CPU
-12,🌳,Tree-based,[LightGBM (tuned + ensembled)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1489.0,+127/-72,0.324,17.14,13.95,7.172,1203.24,7.106,✔️,0.0,False,CPU
-13,🧠🔁,Neural Network,[ModernNCA (tuned + ensembled)](https://arxiv.org/abs/2407.03257),1486.0,+180/-94,0.369,17.26,5.34,7.566,8977.36,8.017,✔️,0.0,False,GPU
-14,🧠🔁,Neural Network,[TabM (tuned + ensembled)](https://arxiv.org/abs/2410.24210),1477.0,+201/-101,0.34,17.72,11.9,5.134,4438.37,1.981,✔️,0.0,False,GPU
-15,❓,Other,[xRFM (tuned + ensembled)](https://arxiv.org/abs/2508.10053),1469.0,+125/-94,0.309,18.11,11.25,6.624,2039.04,2.144,✔️,0.0,False,GPU
-16,🌳,Tree-based,[XGBoost (tuned + ensembled)](https://arxiv.org/abs/1603.02754),1437.0,+98/-37,0.254,19.67,16.66,7.482,1265.82,3.15,✔️,0.0,False,CPU
-17,🧠🔁,Neural Network,[LimiX (default)](https://arxiv.org/abs/2509.03505),1430.0,+288/-239,0.483,19.98,5.95,18.535,6.44,0.709,➖,0.0,False,GPU
-18,🌳,Tree-based,[LightGBM (tuned)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1411.0,+105/-70,0.222,20.95,16.29,7.945,1203.24,0.956,✔️,0.0,False,CPU
-19,🌳,Tree-based,[XGBoost (tuned)](https://arxiv.org/abs/1603.02754),1410.0,+94/-40,0.212,21.01,17.27,7.645,1265.82,0.476,✔️,0.0,False,CPU
-20,❓,Other,[xRFM (tuned)](https://arxiv.org/abs/2508.10053),1394.0,+133/-82,0.231,21.81,16.42,7.124,2039.04,0.109,✔️,0.0,False,GPU
-21,🧠⚡,Foundation Model,[SAP-RPT-OSS (default)](https://arxiv.org/abs/2506.10707),1388.0,+148/-158,0.292,22.1,8.92,8.631,22.46,1.039,➖,0.0,False,GPU
-22,🧠🔁,Neural Network,[TabM (tuned)](https://arxiv.org/abs/2410.24210),1379.0,+202/-119,0.238,22.54,13.36,6.162,4438.37,0.231,✔️,0.0,False,GPU
-23,🌳,Tree-based,[CatBoost (default)](https://arxiv.org/abs/1706.09516),1367.0,+151/-98,0.202,23.16,16.72,8.595,12.31,0.204,✔️,0.0,False,CPU
-24,🧠🔁,Neural Network,[ModernNCA (tuned)](https://arxiv.org/abs/2407.03257),1350.0,+156/-95,0.153,24.07,12.67,9.686,8977.36,0.421,✔️,0.0,False,GPU
-25,🧠🔁,Neural Network,[TabM (default)](https://arxiv.org/abs/2410.24210),1313.0,+185/-132,0.188,25.95,18.18,7.787,22.14,0.179,✔️,0.0,False,GPU
-26,🧠🔁,Neural Network,[RealMLP (default)](https://arxiv.org/abs/2407.04491),1306.0,+152/-101,0.14,26.34,19.63,8.265,21.51,8.356,✔️,0.0,False,GPU
-27,🧠🔁,Neural Network,[TorchMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1282.0,+160/-169,0.136,27.57,16.69,9.949,5150.31,1.592,✔️,0.0,False,CPU
-28,🌳,Tree-based,[ExtraTrees (tuned + ensembled)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1271.0,+116/-146,0.155,28.11,18.92,12.486,664.2,1.363,✔️,0.0,False,CPU
-29,🌳,Tree-based,[ExtraTrees (tuned)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1244.0,+113/-149,0.126,29.51,17.72,12.77,664.2,0.274,✔️,0.0,False,CPU
-30,🧠🔁,Neural Network,[ModernNCA (default)](https://arxiv.org/abs/2407.03257),1237.0,+70/-68,0.012,29.83,23.31,11.461,26.36,0.302,✔️,0.0,False,GPU
-31,🧠🔁,Neural Network,[TorchMLP (tuned)](https://arxiv.org/abs/2003.06505),1222.0,+162/-153,0.094,30.59,20.35,10.618,5150.31,0.136,✔️,0.0,False,CPU
-32,🌳,Tree-based,[EBM (tuned + ensembled)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1221.0,+182/-173,0.087,30.65,20.85,12.281,4333.58,0.422,✔️,0.0,False,CPU
-33,🌳,Tree-based,[LightGBM (default)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1211.0,+59/-45,0.0,31.13,29.43,10.605,4.3,0.318,✔️,0.0,False,CPU
-34,🌳,Tree-based,[RandomForest (tuned + ensembled)](https://link.springer.com/article/10.1023/A:1010933404324),1184.0,+92/-139,0.054,32.44,28.85,13.907,675.17,1.541,✔️,0.0,False,CPU
-35,🌳,Tree-based,[EBM (tuned)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1178.0,+183/-182,0.065,32.73,21.62,12.799,4333.58,0.037,✔️,0.0,False,CPU
-36,🌳,Tree-based,[XGBoost (default)](https://arxiv.org/abs/1603.02754),1143.0,+50/-53,0.0,34.31,33.2,11.829,4.06,0.299,✔️,0.0,False,CPU
-37,🌳,Tree-based,[RandomForest (tuned)](https://link.springer.com/article/10.1023/A:1010933404324),1142.0,+94/-144,0.039,34.37,30.74,14.512,675.17,0.206,✔️,0.0,False,CPU
-38,🧠🔁,Neural Network,[FastaiMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1137.0,+99/-134,0.033,34.58,31.62,13.407,2214.9,7.795,✔️,0.0,False,CPU
-39,❓,Other,[xRFM (default)](https://arxiv.org/abs/2508.10053),1120.0,+151/-227,0.054,35.35,24.93,14.247,10.2,2.718,✔️,0.0,False,GPU
-40,🌳,Tree-based,[ExtraTrees (default)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1115.0,+94/-177,0.014,35.58,30.77,14.86,0.5,0.116,✔️,0.0,False,CPU
-41,🌳,Tree-based,[EBM (default)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1099.0,+151/-175,0.009,36.27,29.92,13.895,16.01,0.041,✔️,0.0,False,CPU
-42,🧠🔁,Neural Network,[FastaiMLP (tuned)](https://arxiv.org/abs/2003.06505),1077.0,+96/-137,0.016,37.19,35.02,13.912,2214.9,0.838,✔️,0.0,False,CPU
-43,🧠🔁,Neural Network,[TorchMLP (default)](https://arxiv.org/abs/2003.06505),1050.0,+120/-143,0.0,38.28,35.88,13.681,22.39,0.134,✔️,0.0,False,CPU
-44,🌳,Tree-based,[RandomForest (default)](https://link.springer.com/article/10.1023/A:1010933404324),1000.0,+83/-142,0.0,40.13,38.18,16.258,0.63,0.12,✔️,0.0,False,CPU
-45,📏,Baseline,[KNN (tuned + ensembled)](https://scikit-learn.org/stable/modules/neighbors.html),955.0,+162/-366,0.009,41.64,33.8,20.508,88.43,0.512,✔️,0.0,False,CPU
-46,🧠🔁,Neural Network,[FastaiMLP (default)](https://arxiv.org/abs/2003.06505),952.0,+97/-166,0.0,41.74,40.56,18.585,6.97,0.818,✔️,0.0,False,CPU
-47,📏,Baseline,[KNN (tuned)](https://scikit-learn.org/stable/modules/neighbors.html),849.0,+165/-377,0.0,44.64,38.67,22.848,88.43,0.051,✔️,0.0,False,CPU
-48,📏,Baseline,[KNN (default)](https://scikit-learn.org/stable/modules/neighbors.html),754.0,+183/-544,0.0,46.68,36.5,29.86,0.42,0.047,✔️,0.0,False,CPU
-49,📏,Baseline,[Linear (tuned + ensembled)](https://scikit-learn.org/stable/modules/linear_model.html),598.0,+122/-415,0.0,49.05,48.78,34.258,777.57,0.312,✔️,0.0,False,CPU
-50,📏,Baseline,[Linear (tuned)](https://scikit-learn.org/stable/modules/linear_model.html),583.0,+130/-435,0.0,49.24,48.95,34.302,777.57,0.108,✔️,0.0,False,CPU
-51,📏,Baseline,[Linear (default)](https://scikit-learn.org/stable/modules/linear_model.html),398.0,+86/-393,0.0,51.0,50.97,36.278,3.91,0.126,✔️,0.0,False,CPU
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deleted file mode 100644
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diff --git a/data/imputation_no/splits_all/tasks_regression/datasets_tabpfn/website_leaderboard.csv b/data/imputation_no/splits_all/tasks_regression/datasets_tabpfn/website_leaderboard.csv
deleted file mode 100644
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-#,Type,TypeName,Model,Elo [⬆️],Elo 95% CI,Score [⬆️],Rank [⬇️],Harmonic Rank [⬇️],Improvability (%) [⬇️],Median Train Time (s/1K) [⬇️],Median Predict Time (s/1K) [⬇️],Verified,Imputed (%) [⬇️],Imputed,Hardware
-0,📊,Reference Pipeline,"[AutoGluon 1.4 (extreme, 4h)](https://arxiv.org/abs/2003.06505)",1739.0,+227/-91,0.719,8.27,4.19,2.698,669.92,5.859,✔️,0.0,False,GPU
-1,🧠⚡,Foundation Model,[TabDPT (tuned + ensembled)](https://arxiv.org/abs/2410.18164),1729.0,+168/-39,0.762,8.57,3.59,3.514,4663.16,132.911,✔️,0.0,False,GPU
-2,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned + ensembled)](https://arxiv.org/abs/2511.08667),1723.0,+330/-141,0.759,8.8,2.61,1.819,2166.18,6.341,✔️,0.0,False,GPU
-3,🧠⚡,Foundation Model,[TabDPT (tuned)](https://arxiv.org/abs/2410.18164),1700.0,+126/-35,0.714,9.59,4.88,3.925,4663.16,18.295,✔️,0.0,False,GPU
-4,🧠🔁,Neural Network,[RealMLP (tuned + ensembled)](https://arxiv.org/abs/2407.04491),1683.0,+128/-58,0.668,10.23,5.68,3.758,4823.88,33.539,✔️,0.0,False,GPU
-5,🧠⚡,Foundation Model,[TabDPT (default)](https://arxiv.org/abs/2410.18164),1629.0,+173/-55,0.621,12.42,4.68,4.925,47.35,39.185,✔️,0.0,False,GPU
-6,🧠⚡,Foundation Model,[TabPFNv2 (tuned + ensembled)](https://www.nature.com/articles/s41586-024-08328-6),1608.0,+192/-116,0.588,13.34,5.52,3.433,6577.99,56.795,✔️,0.0,False,GPU
-7,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned)](https://arxiv.org/abs/2511.08667),1592.0,+290/-166,0.611,14.05,4.42,2.746,2166.18,0.812,✔️,0.0,False,GPU
-8,📊,Reference Pipeline,"[AutoGluon 1.4 (best, 4h)](https://arxiv.org/abs/2003.06505)",1570.0,+118/-56,0.44,15.05,9.66,6.073,6530.9,4.363,✔️,0.0,False,CPU
-9,🧠🔁,Neural Network,[RealMLP (tuned)](https://arxiv.org/abs/2407.04491),1567.0,+155/-64,0.453,15.2,8.65,4.861,4823.88,1.952,✔️,0.0,False,GPU
-10,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (default)](https://arxiv.org/abs/2511.08667),1558.0,+240/-170,0.574,15.66,8.09,4.628,7.15,0.501,✔️,0.0,False,GPU
-11,🌳,Tree-based,[CatBoost (tuned + ensembled)](https://arxiv.org/abs/1706.09516),1541.0,+117/-41,0.378,16.46,10.88,6.6,3558.14,0.966,✔️,0.0,False,CPU
-12,🌳,Tree-based,[CatBoost (tuned)](https://arxiv.org/abs/1706.09516),1522.0,+130/-54,0.34,17.44,12.59,6.719,3558.14,0.105,✔️,0.0,False,CPU
-13,🧠🔁,Neural Network,[LimiX (default)](https://arxiv.org/abs/2509.03505),1506.0,+244/-239,0.539,18.25,5.6,19.533,5.94,0.652,➖,0.0,False,GPU
-14,🧠🔁,Neural Network,[Mitra (default)](https://arxiv.org/abs/2510.21204),1495.0,+192/-92,0.358,18.84,6.31,6.542,99.14,2.48,✔️,0.0,False,GPU
-15,❓,Other,[xRFM (tuned + ensembled)](https://arxiv.org/abs/2508.10053),1479.0,+131/-107,0.301,19.65,11.67,7.049,2045.39,1.388,✔️,0.0,False,GPU
-16,🌳,Tree-based,[LightGBM (tuned + ensembled)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1476.0,+114/-68,0.293,19.83,15.82,7.844,1003.11,4.891,✔️,0.0,False,CPU
-17,🧠🔁,Neural Network,[TabM (tuned + ensembled)](https://arxiv.org/abs/2410.24210),1462.0,+214/-134,0.321,20.58,13.69,5.521,4158.29,1.946,✔️,0.0,False,GPU
-18,🧠⚡,Foundation Model,[SAP-RPT-OSS (default)](https://arxiv.org/abs/2506.10707),1456.0,+100/-90,0.321,20.87,8.82,8.181,22.35,1.037,➖,0.0,False,GPU
-19,🧠⚡,Foundation Model,[TabPFNv2 (tuned)](https://www.nature.com/articles/s41586-024-08328-6),1440.0,+229/-182,0.385,21.72,10.03,5.404,6577.99,0.498,✔️,0.0,False,GPU
-20,🧠🔁,Neural Network,[ModernNCA (tuned + ensembled)](https://arxiv.org/abs/2407.03257),1439.0,+137/-69,0.26,21.82,11.61,8.701,9308.22,7.885,✔️,0.0,False,GPU
-21,🌳,Tree-based,[XGBoost (tuned + ensembled)](https://arxiv.org/abs/1603.02754),1430.0,+85/-37,0.214,22.31,18.92,8.121,933.42,2.759,✔️,0.0,False,CPU
-22,❓,Other,[xRFM (tuned)](https://arxiv.org/abs/2508.10053),1416.0,+125/-102,0.243,23.08,17.37,7.428,2045.39,0.104,✔️,0.0,False,GPU
-23,🌳,Tree-based,[XGBoost (tuned)](https://arxiv.org/abs/1603.02754),1403.0,+91/-46,0.176,23.76,19.64,8.287,933.42,0.388,✔️,0.0,False,CPU
-24,🌳,Tree-based,[LightGBM (tuned)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1401.0,+111/-70,0.187,23.9,18.64,8.681,1003.11,0.894,✔️,0.0,False,CPU
-25,🌳,Tree-based,[CatBoost (default)](https://arxiv.org/abs/1706.09516),1386.0,+140/-88,0.206,24.73,17.21,9.151,10.91,0.197,✔️,0.0,False,CPU
-26,🧠🔁,Neural Network,[TabM (tuned)](https://arxiv.org/abs/2410.24210),1365.0,+215/-157,0.213,25.91,14.61,6.643,4158.29,0.208,✔️,0.0,False,GPU
-27,🧠⚡,Foundation Model,[TabPFNv2 (default)](https://www.nature.com/articles/s41586-024-08328-6),1356.0,+232/-206,0.28,26.4,14.39,8.004,9.1,0.85,✔️,0.0,False,GPU
-28,🧠🔁,Neural Network,[ModernNCA (tuned)](https://arxiv.org/abs/2407.03257),1302.0,+96/-64,0.072,29.46,21.24,10.923,9308.22,0.416,✔️,0.0,False,GPU
-29,🧠🔁,Neural Network,[TabM (default)](https://arxiv.org/abs/2410.24210),1296.0,+216/-171,0.162,29.79,21.18,8.448,15.01,0.154,✔️,0.0,False,GPU
-30,🌳,Tree-based,[ExtraTrees (tuned + ensembled)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1294.0,+195/-165,0.164,29.92,19.42,13.284,623.85,1.144,✔️,0.0,False,CPU
-31,🧠🔁,Neural Network,[RealMLP (default)](https://arxiv.org/abs/2407.04491),1290.0,+172/-110,0.117,30.13,23.29,8.964,23.19,8.523,✔️,0.0,False,GPU
-32,🌳,Tree-based,[ExtraTrees (tuned)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1272.0,+171/-164,0.128,31.09,18.24,13.434,623.85,0.291,✔️,0.0,False,CPU
-33,🌳,Tree-based,[EBM (tuned + ensembled)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1252.0,+148/-168,0.086,32.21,22.04,12.728,2929.85,0.41,✔️,0.0,False,CPU
-34,🧠🔁,Neural Network,[ModernNCA (default)](https://arxiv.org/abs/2407.03257),1229.0,+91/-91,0.014,33.43,25.31,12.467,27.82,0.299,✔️,0.0,False,GPU
-35,🧠🔁,Neural Network,[TorchMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1222.0,+164/-151,0.062,33.78,28.25,11.172,5692.02,1.354,✔️,0.0,False,CPU
-36,🌳,Tree-based,[EBM (tuned)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1206.0,+166/-180,0.07,34.62,22.92,13.308,2929.85,0.037,✔️,0.0,False,CPU
-37,🌳,Tree-based,[LightGBM (default)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1202.0,+45/-45,0.0,34.8,33.0,11.471,4.57,0.275,✔️,0.0,False,CPU
-38,🌳,Tree-based,[RandomForest (tuned + ensembled)](https://link.springer.com/article/10.1023/A:1010933404324),1198.0,+126/-179,0.053,35.02,30.86,14.829,633.57,1.512,✔️,0.0,False,CPU
-39,🧠🔁,Neural Network,[TorchMLP (tuned)](https://arxiv.org/abs/2003.06505),1190.0,+188/-176,0.07,35.44,22.79,11.662,5692.02,0.131,✔️,0.0,False,CPU
-40,🌳,Tree-based,[RandomForest (tuned)](https://link.springer.com/article/10.1023/A:1010933404324),1161.0,+121/-186,0.036,36.89,32.75,15.374,633.57,0.248,✔️,0.0,False,CPU
-41,❓,Other,[xRFM (default)](https://arxiv.org/abs/2508.10053),1144.0,+154/-182,0.053,37.71,26.57,14.916,10.27,3.409,✔️,0.0,False,GPU
-42,🌳,Tree-based,[XGBoost (default)](https://arxiv.org/abs/1603.02754),1143.0,+46/-61,0.0,37.77,36.5,12.62,3.79,0.311,✔️,0.0,False,CPU
-43,🌳,Tree-based,[EBM (default)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1132.0,+130/-156,0.0,38.27,31.11,14.201,11.19,0.038,✔️,0.0,False,CPU
-44,🌳,Tree-based,[ExtraTrees (default)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1129.0,+133/-199,0.001,38.43,33.18,15.752,0.47,0.117,✔️,0.0,False,CPU
-45,🧠🔁,Neural Network,[FastaiMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1086.0,+62/-96,0.0,40.38,39.21,14.87,2248.07,7.53,✔️,0.0,False,CPU
-46,🧠🔁,Neural Network,[FastaiMLP (tuned)](https://arxiv.org/abs/2003.06505),1026.0,+70/-116,0.0,42.87,41.95,15.356,2248.07,0.89,✔️,0.0,False,CPU
-47,🧠🔁,Neural Network,[TorchMLP (default)](https://arxiv.org/abs/2003.06505),1014.0,+116/-188,0.0,43.33,41.08,14.945,24.31,0.134,✔️,0.0,False,CPU
-48,🌳,Tree-based,[RandomForest (default)](https://link.springer.com/article/10.1023/A:1010933404324),1000.0,+109/-209,0.0,43.85,41.61,17.347,0.53,0.118,✔️,0.0,False,CPU
-49,📏,Baseline,[KNN (tuned + ensembled)](https://scikit-learn.org/stable/modules/neighbors.html),983.0,+154/-421,0.0,44.47,35.41,21.405,84.3,0.438,✔️,0.0,False,CPU
-50,🧠🔁,Neural Network,[FastaiMLP (default)](https://arxiv.org/abs/2003.06505),903.0,+53/-156,0.0,47.09,46.46,20.509,7.09,0.843,✔️,0.0,False,CPU
-51,📏,Baseline,[KNN (tuned)](https://scikit-learn.org/stable/modules/neighbors.html),878.0,+150/-428,0.0,47.8,40.99,23.685,84.3,0.05,✔️,0.0,False,CPU
-52,📏,Baseline,[KNN (default)](https://scikit-learn.org/stable/modules/neighbors.html),802.0,+167/-576,0.0,49.69,37.37,30.336,0.39,0.044,✔️,0.0,False,CPU
-53,📏,Baseline,[Linear (tuned + ensembled)](https://scikit-learn.org/stable/modules/linear_model.html),608.0,+112/-431,0.0,53.0,52.7,36.075,779.18,0.247,✔️,0.0,False,CPU
-54,📏,Baseline,[Linear (tuned)](https://scikit-learn.org/stable/modules/linear_model.html),594.0,+126/-471,0.0,53.16,52.84,36.098,779.18,0.089,✔️,0.0,False,CPU
-55,📏,Baseline,[Linear (default)](https://scikit-learn.org/stable/modules/linear_model.html),422.0,+88/-423,0.0,54.9,54.88,37.483,3.97,0.122,✔️,0.0,False,CPU
diff --git a/data/imputation_no/splits_all/tasks_regression/datasets_tabpfn/winrate_matrix.png.zip b/data/imputation_no/splits_all/tasks_regression/datasets_tabpfn/winrate_matrix.png.zip
deleted file mode 100644
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--- a/data/imputation_no/splits_all/tasks_regression/datasets_tabpfn/winrate_matrix.png.zip
+++ /dev/null
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diff --git a/data/imputation_no/splits_lite/tasks_all/datasets_all/pareto_front_improvability_vs_time_infer.png.zip b/data/imputation_no/splits_lite/tasks_all/datasets_all/pareto_front_improvability_vs_time_infer.png.zip
deleted file mode 100644
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diff --git a/data/imputation_no/splits_lite/tasks_all/datasets_all/tuning-impact-elo.png.zip b/data/imputation_no/splits_lite/tasks_all/datasets_all/tuning-impact-elo.png.zip
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diff --git a/data/imputation_no/splits_lite/tasks_all/datasets_all/website_leaderboard.csv b/data/imputation_no/splits_lite/tasks_all/datasets_all/website_leaderboard.csv
deleted file mode 100644
index b1003434ccd068d7e1355d78cfcb4e461b70b8ee..0000000000000000000000000000000000000000
--- a/data/imputation_no/splits_lite/tasks_all/datasets_all/website_leaderboard.csv
+++ /dev/null
@@ -1,52 +0,0 @@
-#,Type,TypeName,Model,Elo [⬆️],Elo 95% CI,Score [⬆️],Rank [⬇️],Harmonic Rank [⬇️],Improvability (%) [⬇️],Median Train Time (s/1K) [⬇️],Median Predict Time (s/1K) [⬇️],Verified,Imputed (%) [⬇️],Imputed,Hardware
-0,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned + ensembled)](https://arxiv.org/abs/2511.08667),1648.0,+101/-68,0.684,7.73,2.55,3.695,2059.94,9.785,✔️,0.0,False,GPU
-1,📊,Reference Pipeline,"[AutoGluon 1.4 (extreme, 4h)](https://arxiv.org/abs/2003.06505)",1640.0,+90/-77,0.661,7.97,3.67,5.805,556.15,6.31,✔️,0.0,False,GPU
-2,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned)](https://arxiv.org/abs/2511.08667),1599.0,+89/-69,0.613,9.36,3.87,5.812,2059.94,1.03,✔️,0.0,False,GPU
-3,📊,Reference Pipeline,"[AutoGluon 1.4 (best, 4h)](https://arxiv.org/abs/2003.06505)",1577.0,+62/-67,0.565,10.16,4.58,7.58,1754.94,1.767,✔️,0.0,False,CPU
-4,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (default)](https://arxiv.org/abs/2511.08667),1558.0,+81/-54,0.558,10.89,5.0,6.453,5.71,0.611,✔️,0.0,False,GPU
-5,🧠🔁,Neural Network,[RealMLP (tuned + ensembled)](https://arxiv.org/abs/2407.04491),1542.0,+56/-50,0.506,11.55,7.09,8.695,2791.97,13.886,✔️,0.0,False,GPU
-6,🧠🔁,Neural Network,[RealMLP (tuned)](https://arxiv.org/abs/2407.04491),1458.0,+56/-60,0.412,15.36,8.21,10.22,2791.97,0.373,✔️,0.0,False,GPU
-7,🧠⚡,Foundation Model,[TabDPT (tuned + ensembled)](https://arxiv.org/abs/2410.18164),1457.0,+71/-62,0.447,15.39,4.65,9.102,6154.73,386.167,✔️,0.0,False,GPU
-8,🌳,Tree-based,[LightGBM (tuned + ensembled)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1440.0,+42/-43,0.317,16.26,12.44,11.64,416.56,2.236,✔️,0.0,False,CPU
-9,🧠🔁,Neural Network,[TabM (tuned + ensembled)](https://arxiv.org/abs/2410.24210),1438.0,+74/-46,0.371,16.37,8.38,10.681,3133.91,1.273,✔️,0.0,False,GPU
-10,🌳,Tree-based,[CatBoost (tuned + ensembled)](https://arxiv.org/abs/1706.09516),1414.0,+55/-49,0.321,17.55,11.89,11.225,1665.53,0.559,✔️,0.0,False,CPU
-11,🧠⚡,Foundation Model,[TabDPT (tuned)](https://arxiv.org/abs/2410.18164),1412.0,+79/-59,0.399,17.7,5.63,10.746,6154.73,39.452,✔️,0.0,False,GPU
-12,🧠🔁,Neural Network,[ModernNCA (tuned + ensembled)](https://arxiv.org/abs/2407.03257),1408.0,+84/-65,0.383,17.86,7.41,11.528,4618.5,7.737,✔️,0.0,False,GPU
-13,🌳,Tree-based,[CatBoost (tuned)](https://arxiv.org/abs/1706.09516),1389.0,+48/-48,0.289,18.88,12.29,11.655,1665.53,0.065,✔️,0.0,False,CPU
-14,🌳,Tree-based,[XGBoost (tuned + ensembled)](https://arxiv.org/abs/1603.02754),1387.0,+42/-50,0.265,19.01,12.78,12.27,700.96,1.439,✔️,0.0,False,CPU
-15,🌳,Tree-based,[LightGBM (tuned)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1372.0,+55/-49,0.248,19.8,15.13,12.549,416.56,0.381,✔️,0.0,False,CPU
-16,🧠🔁,Neural Network,[ModernNCA (tuned)](https://arxiv.org/abs/2407.03257),1368.0,+62/-60,0.296,20.02,10.53,12.141,4618.5,0.47,✔️,0.0,False,GPU
-17,🧠🔁,Neural Network,[TabM (tuned)](https://arxiv.org/abs/2410.24210),1368.0,+70/-56,0.29,20.03,12.12,11.617,3133.91,0.13,✔️,0.0,False,GPU
-18,🌳,Tree-based,[CatBoost (default)](https://arxiv.org/abs/1706.09516),1366.0,+42/-45,0.248,20.12,12.03,12.238,6.7,0.088,✔️,0.0,False,CPU
-19,🌳,Tree-based,[XGBoost (tuned)](https://arxiv.org/abs/1603.02754),1361.0,+43/-44,0.24,20.37,12.27,12.455,700.96,0.213,✔️,0.0,False,CPU
-20,❓,Other,[xRFM (tuned + ensembled)](https://arxiv.org/abs/2508.10053),1360.0,+59/-47,0.282,20.45,12.03,12.418,866.11,2.007,✔️,0.0,False,GPU
-21,❓,Other,[xRFM (tuned)](https://arxiv.org/abs/2508.10053),1309.0,+59/-48,0.207,23.25,12.8,13.79,866.11,0.097,✔️,0.0,False,GPU
-22,🧠⚡,Foundation Model,[TabDPT (default)](https://arxiv.org/abs/2410.18164),1302.0,+77/-72,0.284,23.62,8.78,13.443,45.42,39.406,✔️,0.0,False,GPU
-23,🧠🔁,Neural Network,[TabM (default)](https://arxiv.org/abs/2410.24210),1298.0,+55/-53,0.214,23.84,16.27,14.024,11.56,0.127,✔️,0.0,False,GPU
-24,🌳,Tree-based,[EBM (tuned + ensembled)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1290.0,+51/-56,0.191,24.29,14.84,14.98,2961.52,0.482,✔️,0.0,False,CPU
-25,🧠🔁,Neural Network,[TorchMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1270.0,+47/-55,0.147,25.41,19.76,13.774,2832.8,1.801,✔️,0.0,False,CPU
-26,🧠🔁,Neural Network,[RealMLP (default)](https://arxiv.org/abs/2407.04491),1270.0,+46/-52,0.143,25.43,18.13,14.395,10.44,1.714,✔️,0.0,False,GPU
-27,🧠⚡,Foundation Model,[SAP-RPT-OSS (default)](https://arxiv.org/abs/2506.10707),1263.0,+73/-67,0.227,25.78,10.54,15.394,13.95,2.081,➖,0.0,False,GPU
-28,🌳,Tree-based,[EBM (tuned)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1233.0,+64/-60,0.146,27.45,14.19,15.815,2961.52,0.048,✔️,0.0,False,CPU
-29,🧠🔁,Neural Network,[ModernNCA (default)](https://arxiv.org/abs/2407.03257),1223.0,+62/-52,0.121,27.98,15.52,16.643,13.74,0.316,✔️,0.0,False,GPU
-30,🌳,Tree-based,[ExtraTrees (tuned + ensembled)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1209.0,+58/-60,0.111,28.76,21.11,17.061,191.44,0.76,✔️,0.0,False,CPU
-31,🌳,Tree-based,[EBM (default)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1207.0,+60/-60,0.131,28.84,16.26,16.763,7.66,0.046,✔️,0.0,False,CPU
-32,🧠🔁,Neural Network,[TorchMLP (tuned)](https://arxiv.org/abs/2003.06505),1204.0,+49/-63,0.115,29.04,23.02,15.64,2832.8,0.112,✔️,0.0,False,CPU
-33,🌳,Tree-based,[XGBoost (default)](https://arxiv.org/abs/1603.02754),1194.0,+60/-59,0.11,29.57,17.21,15.689,2.06,0.122,✔️,0.0,False,CPU
-34,🧠🔁,Neural Network,[FastaiMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1184.0,+67/-70,0.115,30.11,21.84,17.411,594.95,4.651,✔️,0.0,False,CPU
-35,🌳,Tree-based,[ExtraTrees (tuned)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1174.0,+69/-69,0.114,30.66,18.55,18.11,191.44,0.101,✔️,0.0,False,CPU
-36,🌳,Tree-based,[RandomForest (tuned + ensembled)](https://link.springer.com/article/10.1023/A:1010933404324),1168.0,+59/-68,0.082,30.92,23.31,18.005,377.08,0.747,✔️,0.0,False,CPU
-37,🌳,Tree-based,[LightGBM (default)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1158.0,+58/-50,0.068,31.46,27.56,16.48,2.2,0.171,✔️,0.0,False,CPU
-38,🌳,Tree-based,[RandomForest (tuned)](https://link.springer.com/article/10.1023/A:1010933404324),1125.0,+52/-53,0.044,33.14,27.7,18.82,377.08,0.091,✔️,0.0,False,CPU
-39,🧠🔁,Neural Network,[FastaiMLP (tuned)](https://arxiv.org/abs/2003.06505),1106.0,+64/-83,0.077,34.08,22.35,19.036,594.95,0.337,✔️,0.0,False,CPU
-40,❓,Other,[xRFM (default)](https://arxiv.org/abs/2508.10053),1033.0,+71/-73,0.055,37.49,25.54,23.66,3.14,0.741,✔️,0.0,False,GPU
-41,🧠🔁,Neural Network,[TorchMLP (default)](https://arxiv.org/abs/2003.06505),1027.0,+59/-68,0.022,37.75,34.35,20.886,8.96,0.129,✔️,0.0,False,CPU
-42,🌳,Tree-based,[RandomForest (default)](https://link.springer.com/article/10.1023/A:1010933404324),1000.0,+68/-64,0.014,38.86,32.49,23.686,0.43,0.053,✔️,0.0,False,CPU
-43,📏,Baseline,[KNN (tuned + ensembled)](https://scikit-learn.org/stable/modules/neighbors.html),971.0,+66/-83,0.023,40.0,35.8,25.526,129.1,1.627,✔️,0.0,False,CPU
-44,🌳,Tree-based,[ExtraTrees (default)](https://link.springer.com/article/10.1007/s10994-006-6226-1),969.0,+76/-86,0.015,40.08,36.5,25.279,0.26,0.054,✔️,0.0,False,CPU
-45,🧠🔁,Neural Network,[FastaiMLP (default)](https://arxiv.org/abs/2003.06505),967.0,+75/-78,0.026,40.16,36.95,22.98,3.12,0.312,✔️,0.0,False,CPU
-46,📏,Baseline,[Linear (tuned + ensembled)](https://scikit-learn.org/stable/modules/linear_model.html),906.0,+82/-112,0.022,42.33,23.13,32.165,240.73,0.308,✔️,0.0,False,CPU
-47,📏,Baseline,[Linear (tuned)](https://scikit-learn.org/stable/modules/linear_model.html),870.0,+80/-113,0.017,43.44,30.68,32.751,240.73,0.068,✔️,0.0,False,CPU
-48,📏,Baseline,[Linear (default)](https://scikit-learn.org/stable/modules/linear_model.html),807.0,+88/-125,0.01,45.16,42.21,35.321,1.23,0.115,✔️,0.0,False,CPU
-49,📏,Baseline,[KNN (tuned)](https://scikit-learn.org/stable/modules/neighbors.html),803.0,+75/-92,0.01,45.25,43.58,31.663,129.1,0.103,✔️,0.0,False,CPU
-50,📏,Baseline,[KNN (default)](https://scikit-learn.org/stable/modules/neighbors.html),598.0,+80/-142,0.0,49.0,48.67,44.271,0.19,0.037,✔️,0.0,False,CPU
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-#,Type,TypeName,Model,Elo [⬆️],Elo 95% CI,Score [⬆️],Rank [⬇️],Harmonic Rank [⬇️],Improvability (%) [⬇️],Median Train Time (s/1K) [⬇️],Median Predict Time (s/1K) [⬇️],Verified,Imputed (%) [⬇️],Imputed,Hardware
-0,📊,Reference Pipeline,"[AutoGluon 1.4 (best, 4h)](https://arxiv.org/abs/2003.06505)",1896.0,+152/-65,0.803,4.53,2.36,2.092,432.14,4.214,✔️,0.0,False,CPU
-1,📊,Reference Pipeline,"[AutoGluon 1.4 (extreme, 4h)](https://arxiv.org/abs/2003.06505)",1854.0,+161/-68,0.77,5.33,2.86,2.561,302.05,2.868,✔️,0.0,False,GPU
-2,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned + ensembled)](https://arxiv.org/abs/2511.08667),1741.0,+184/-128,0.661,8.2,2.86,3.897,739.1,11.65,✔️,0.0,False,GPU
-3,🧠🔁,Neural Network,[ModernNCA (tuned + ensembled)](https://arxiv.org/abs/2407.03257),1700.0,+181/-134,0.636,9.47,4.51,4.31,2522.58,6.234,✔️,0.0,False,GPU
-4,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned)](https://arxiv.org/abs/2511.08667),1690.0,+166/-115,0.609,9.8,4.36,5.33,739.1,1.134,✔️,0.0,False,GPU
-5,🧠🔁,Neural Network,[RealMLP (tuned + ensembled)](https://arxiv.org/abs/2407.04491),1641.0,+103/-90,0.527,11.53,7.94,5.912,1714.29,1.743,✔️,0.0,False,GPU
-6,🌳,Tree-based,[LightGBM (tuned + ensembled)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1595.0,+95/-68,0.426,13.33,9.91,7.706,129.25,2.621,✔️,0.0,False,CPU
-7,🌳,Tree-based,[CatBoost (tuned + ensembled)](https://arxiv.org/abs/1706.09516),1593.0,+111/-74,0.45,13.4,8.53,6.757,763.16,0.246,✔️,0.0,False,CPU
-8,🌳,Tree-based,[CatBoost (tuned)](https://arxiv.org/abs/1706.09516),1563.0,+103/-66,0.424,14.63,8.16,6.886,763.16,0.04,✔️,0.0,False,CPU
-9,🧠🔁,Neural Network,[ModernNCA (tuned)](https://arxiv.org/abs/2407.03257),1559.0,+150/-118,0.439,14.8,10.17,7.852,2522.58,0.318,✔️,0.0,False,GPU
-10,🌳,Tree-based,[XGBoost (tuned + ensembled)](https://arxiv.org/abs/1603.02754),1558.0,+97/-64,0.377,14.87,10.44,7.44,289.35,0.706,✔️,0.0,False,CPU
-11,🧠🔁,Neural Network,[TabM (tuned + ensembled)](https://arxiv.org/abs/2410.24210),1548.0,+158/-97,0.399,15.27,6.77,7.607,1993.57,0.581,✔️,0.0,False,GPU
-12,🌳,Tree-based,[LightGBM (tuned)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1539.0,+108/-90,0.357,15.67,11.81,8.332,129.25,0.117,✔️,0.0,False,CPU
-13,🧠🔁,Neural Network,[RealMLP (tuned)](https://arxiv.org/abs/2407.04491),1528.0,+135/-117,0.402,16.13,9.62,7.939,1714.29,0.079,✔️,0.0,False,GPU
-14,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (default)](https://arxiv.org/abs/2511.08667),1527.0,+159/-123,0.404,16.2,8.02,6.506,1.91,0.668,✔️,0.0,False,GPU
-15,🌳,Tree-based,[CatBoost (default)](https://arxiv.org/abs/1706.09516),1520.0,+113/-87,0.397,16.5,7.53,7.158,2.93,0.045,✔️,0.0,False,CPU
-16,🌳,Tree-based,[XGBoost (tuned)](https://arxiv.org/abs/1603.02754),1499.0,+105/-84,0.338,17.47,12.95,7.674,289.35,0.08,✔️,0.0,False,CPU
-17,🧠⚡,Foundation Model,[TabDPT (tuned + ensembled)](https://arxiv.org/abs/2410.18164),1471.0,+153/-130,0.346,18.73,5.35,8.076,4532.14,387.927,✔️,0.0,False,GPU
-18,🧠🔁,Neural Network,[TabM (tuned)](https://arxiv.org/abs/2410.24210),1462.0,+149/-91,0.3,19.13,10.85,8.336,1993.57,0.06,✔️,0.0,False,GPU
-19,❓,Other,[xRFM (tuned + ensembled)](https://arxiv.org/abs/2508.10053),1418.0,+113/-114,0.291,21.2,14.67,9.191,559.64,0.88,✔️,0.0,False,GPU
-20,🧠⚡,Foundation Model,[TabDPT (tuned)](https://arxiv.org/abs/2410.18164),1407.0,+152/-149,0.304,21.77,8.18,10.666,4532.14,39.452,✔️,0.0,False,GPU
-21,❓,Other,[xRFM (tuned)](https://arxiv.org/abs/2508.10053),1381.0,+104/-97,0.187,23.0,17.83,11.539,559.64,0.051,✔️,0.0,False,GPU
-22,🌳,Tree-based,[XGBoost (default)](https://arxiv.org/abs/1603.02754),1376.0,+126/-134,0.241,23.27,8.98,9.53,0.48,0.047,✔️,0.0,False,CPU
-23,🧠🔁,Neural Network,[TabM (default)](https://arxiv.org/abs/2410.24210),1371.0,+128/-113,0.194,23.47,19.62,10.925,5.42,0.078,✔️,0.0,False,GPU
-24,🧠🔁,Neural Network,[TorchMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1345.0,+80/-68,0.126,24.73,21.24,10.049,1803.23,1.199,✔️,0.0,False,CPU
-25,🌳,Tree-based,[EBM (tuned + ensembled)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1328.0,+129/-146,0.217,25.6,17.53,13.131,1535.55,0.182,✔️,0.0,False,CPU
-26,🧠⚡,Foundation Model,[TabDPT (default)](https://arxiv.org/abs/2410.18164),1286.0,+131/-142,0.196,27.63,13.19,13.594,41.5,39.095,✔️,0.0,False,GPU
-27,🧠🔁,Neural Network,[RealMLP (default)](https://arxiv.org/abs/2407.04491),1285.0,+82/-72,0.058,27.67,25.28,12.893,6.54,0.294,✔️,0.0,False,GPU
-28,🧠🔁,Neural Network,[ModernNCA (default)](https://arxiv.org/abs/2407.03257),1272.0,+96/-101,0.108,28.27,24.26,11.609,9.07,0.224,✔️,0.0,False,GPU
-29,🧠🔁,Neural Network,[TorchMLP (tuned)](https://arxiv.org/abs/2003.06505),1238.0,+83/-95,0.059,29.87,27.25,12.534,1803.23,0.051,✔️,0.0,False,CPU
-30,🌳,Tree-based,[RandomForest (tuned + ensembled)](https://link.springer.com/article/10.1023/A:1010933404324),1235.0,+103/-97,0.047,30.0,24.23,12.859,65.73,0.23,✔️,0.0,False,CPU
-31,🌳,Tree-based,[ExtraTrees (tuned + ensembled)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1220.0,+99/-128,0.044,30.73,27.74,12.599,36.73,0.359,✔️,0.0,False,CPU
-32,🌳,Tree-based,[LightGBM (default)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1215.0,+79/-96,0.031,30.93,29.17,12.025,0.34,0.07,✔️,0.0,False,CPU
-33,🌳,Tree-based,[EBM (tuned)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1215.0,+134/-136,0.13,30.93,24.94,14.424,1535.55,0.013,✔️,0.0,False,CPU
-34,🌳,Tree-based,[RandomForest (tuned)](https://link.springer.com/article/10.1023/A:1010933404324),1204.0,+93/-85,0.037,31.43,27.75,13.195,65.73,0.025,✔️,0.0,False,CPU
-35,🌳,Tree-based,[EBM (default)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1202.0,+112/-137,0.116,31.53,27.78,15.52,2.99,0.016,✔️,0.0,False,CPU
-36,🧠🔁,Neural Network,[FastaiMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1186.0,+114/-142,0.064,32.27,26.76,15.027,354.91,1.636,✔️,0.0,False,CPU
-37,🧠⚡,Foundation Model,[SAP-RPT-OSS (default)](https://arxiv.org/abs/2506.10707),1163.0,+112/-109,0.057,33.27,27.71,15.281,11.42,10.384,➖,0.0,False,GPU
-38,🌳,Tree-based,[ExtraTrees (tuned)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1145.0,+97/-121,0.022,34.07,31.52,14.978,36.73,0.038,✔️,0.0,False,CPU
-39,🧠🔁,Neural Network,[TorchMLP (default)](https://arxiv.org/abs/2003.06505),1072.0,+81/-90,0.006,37.07,35.78,16.346,2.58,0.039,✔️,0.0,False,CPU
-40,🧠🔁,Neural Network,[FastaiMLP (tuned)](https://arxiv.org/abs/2003.06505),1044.0,+93/-97,0.011,38.13,36.57,17.593,354.91,0.094,✔️,0.0,False,CPU
-41,❓,Other,[xRFM (default)](https://arxiv.org/abs/2508.10053),1003.0,+164/-228,0.018,39.6,34.34,25.288,2.55,0.157,✔️,0.0,False,GPU
-42,🌳,Tree-based,[RandomForest (default)](https://link.springer.com/article/10.1023/A:1010933404324),1000.0,+71/-114,0.0,39.7,38.73,18.839,0.24,0.022,✔️,0.0,False,CPU
-43,📏,Baseline,[KNN (tuned + ensembled)](https://scikit-learn.org/stable/modules/neighbors.html),969.0,+95/-125,0.01,40.73,38.89,22.57,150.58,4.952,✔️,0.0,False,CPU
-44,🧠🔁,Neural Network,[FastaiMLP (default)](https://arxiv.org/abs/2003.06505),927.0,+104/-157,0.015,42.07,39.98,21.097,1.49,0.113,✔️,0.0,False,CPU
-45,📏,Baseline,[Linear (tuned + ensembled)](https://scikit-learn.org/stable/modules/linear_model.html),908.0,+170/-227,0.007,42.63,39.55,32.011,43.96,0.081,✔️,0.0,False,CPU
-46,🌳,Tree-based,[ExtraTrees (default)](https://link.springer.com/article/10.1007/s10994-006-6226-1),904.0,+108/-149,0.002,42.73,41.27,22.415,0.13,0.022,✔️,0.0,False,CPU
-47,📏,Baseline,[Linear (tuned)](https://scikit-learn.org/stable/modules/linear_model.html),851.0,+158/-250,0.0,44.17,42.04,32.774,43.96,0.017,✔️,0.0,False,CPU
-48,📏,Baseline,[KNN (tuned)](https://scikit-learn.org/stable/modules/neighbors.html),777.0,+56/-117,0.0,45.87,45.65,29.026,150.58,0.546,✔️,0.0,False,CPU
-49,📏,Baseline,[Linear (default)](https://scikit-learn.org/stable/modules/linear_model.html),706.0,+106/-200,0.0,47.2,46.89,34.827,0.2,0.02,✔️,0.0,False,CPU
-50,📏,Baseline,[KNN (default)](https://scikit-learn.org/stable/modules/neighbors.html),531.0,+101/-190,0.0,49.47,49.38,42.676,0.1,0.068,✔️,0.0,False,CPU
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deleted file mode 100644
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-#,Type,TypeName,Model,Elo [⬆️],Elo 95% CI,Score [⬆️],Rank [⬇️],Harmonic Rank [⬇️],Improvability (%) [⬇️],Median Train Time (s/1K) [⬇️],Median Predict Time (s/1K) [⬇️],Verified,Imputed (%) [⬇️],Imputed,Hardware
-0,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned + ensembled)](https://arxiv.org/abs/2511.08667),1633.0,+134/-84,0.687,7.72,2.53,3.789,2319.48,8.957,✔️,0.0,False,GPU
-1,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (default)](https://arxiv.org/abs/2511.08667),1598.0,+113/-68,0.614,8.9,4.42,6.609,6.58,0.586,✔️,0.0,False,GPU
-2,📊,Reference Pipeline,"[AutoGluon 1.4 (extreme, 4h)](https://arxiv.org/abs/2003.06505)",1581.0,+96/-71,0.605,9.5,4.28,7.334,657.21,7.989,✔️,0.0,False,GPU
-3,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned)](https://arxiv.org/abs/2511.08667),1580.0,+115/-72,0.606,9.54,3.78,6.191,2319.48,0.942,✔️,0.0,False,GPU
-4,🧠🔁,Neural Network,[RealMLP (tuned + ensembled)](https://arxiv.org/abs/2407.04491),1517.0,+82/-60,0.484,12.06,7.07,10.035,3855.22,24.935,✔️,0.0,False,GPU
-5,📊,Reference Pipeline,"[AutoGluon 1.4 (best, 4h)](https://arxiv.org/abs/2003.06505)",1497.0,+56/-53,0.459,12.94,7.83,10.041,3351.09,1.56,✔️,0.0,False,CPU
-6,🧠⚡,Foundation Model,[TabDPT (tuned + ensembled)](https://arxiv.org/abs/2410.18164),1465.0,+97/-74,0.486,14.44,4.49,9.692,8059.77,364.288,✔️,0.0,False,GPU
-7,🧠🔁,Neural Network,[LimiX (default)](https://arxiv.org/abs/2509.03505),1454.0,+93/-76,0.472,14.99,5.58,12.275,5.11,0.624,➖,0.0,False,GPU
-8,🧠🔁,Neural Network,[RealMLP (tuned)](https://arxiv.org/abs/2407.04491),1442.0,+76/-74,0.402,15.6,8.18,11.353,3855.22,0.954,✔️,0.0,False,GPU
-9,🧠⚡,Foundation Model,[TabDPT (tuned)](https://arxiv.org/abs/2410.18164),1423.0,+92/-82,0.435,16.56,5.19,10.94,8059.77,39.456,✔️,0.0,False,GPU
-10,🧠🔁,Neural Network,[TabM (tuned + ensembled)](https://arxiv.org/abs/2410.24210),1407.0,+72/-62,0.348,17.42,9.5,12.139,3629.74,1.48,✔️,0.0,False,GPU
-11,🌳,Tree-based,[LightGBM (tuned + ensembled)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1393.0,+48/-42,0.265,18.18,14.56,13.451,833.03,2.182,✔️,0.0,False,CPU
-12,🌳,Tree-based,[CatBoost (tuned + ensembled)](https://arxiv.org/abs/1706.09516),1361.0,+63/-54,0.256,19.94,14.83,13.265,2448.79,0.814,✔️,0.0,False,CPU
-13,❓,Other,[xRFM (tuned + ensembled)](https://arxiv.org/abs/2508.10053),1345.0,+72/-66,0.272,20.83,12.39,13.932,1346.37,2.149,✔️,0.0,False,GPU
-14,🧠🔁,Neural Network,[TabM (tuned)](https://arxiv.org/abs/2410.24210),1341.0,+72/-69,0.277,21.07,13.05,13.161,3629.74,0.189,✔️,0.0,False,GPU
-15,🌳,Tree-based,[CatBoost (tuned)](https://arxiv.org/abs/1706.09516),1336.0,+61/-52,0.227,21.35,15.92,13.815,2448.79,0.078,✔️,0.0,False,CPU
-16,🌳,Tree-based,[XGBoost (tuned + ensembled)](https://arxiv.org/abs/1603.02754),1333.0,+59/-42,0.209,21.49,14.51,14.459,886.51,1.982,✔️,0.0,False,CPU
-17,🧠🔁,Neural Network,[ModernNCA (tuned + ensembled)](https://arxiv.org/abs/2407.03257),1322.0,+71/-76,0.271,22.11,10.46,14.708,6341.76,8.556,✔️,0.0,False,GPU
-18,🌳,Tree-based,[LightGBM (tuned)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1320.0,+52/-48,0.2,22.25,18.07,14.478,833.03,0.435,✔️,0.0,False,CPU
-19,🌳,Tree-based,[XGBoost (tuned)](https://arxiv.org/abs/1603.02754),1318.0,+61/-49,0.194,22.33,12.27,14.619,886.51,0.318,✔️,0.0,False,CPU
-20,🌳,Tree-based,[CatBoost (default)](https://arxiv.org/abs/1706.09516),1318.0,+48/-46,0.181,22.35,17.02,14.531,8.39,0.139,✔️,0.0,False,CPU
-21,🧠⚡,Foundation Model,[TabDPT (default)](https://arxiv.org/abs/2410.18164),1315.0,+87/-82,0.321,22.53,7.91,13.538,51.78,39.927,✔️,0.0,False,GPU
-22,🧠🔁,Neural Network,[ModernNCA (tuned)](https://arxiv.org/abs/2407.03257),1308.0,+68/-66,0.234,22.92,10.92,14.095,6341.76,0.501,✔️,0.0,False,GPU
-23,🧠⚡,Foundation Model,[SAP-RPT-OSS (default)](https://arxiv.org/abs/2506.10707),1300.0,+77/-82,0.286,23.39,9.72,15.62,16.54,1.255,➖,0.0,False,GPU
-24,❓,Other,[xRFM (tuned)](https://arxiv.org/abs/2508.10053),1286.0,+68/-61,0.211,24.18,12.15,14.901,1346.37,0.103,✔️,0.0,False,GPU
-25,🌳,Tree-based,[EBM (tuned + ensembled)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1281.0,+73/-55,0.173,24.5,14.71,15.925,3249.24,0.548,✔️,0.0,False,CPU
-26,🧠🔁,Neural Network,[TabM (default)](https://arxiv.org/abs/2410.24210),1278.0,+72/-62,0.218,24.69,15.48,15.488,13.71,0.149,✔️,0.0,False,GPU
-27,🧠🔁,Neural Network,[RealMLP (default)](https://arxiv.org/abs/2407.04491),1268.0,+61/-66,0.169,25.28,16.82,15.198,16.6,4.299,✔️,0.0,False,GPU
-28,🧠🔁,Neural Network,[TorchMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1247.0,+49/-62,0.155,26.44,19.61,15.496,3693.32,2.14,✔️,0.0,False,CPU
-29,🌳,Tree-based,[EBM (tuned)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1242.0,+64/-60,0.149,26.75,12.22,16.566,3249.24,0.059,✔️,0.0,False,CPU
-30,🌳,Tree-based,[EBM (default)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1211.0,+77/-60,0.127,28.56,14.37,17.458,9.93,0.052,✔️,0.0,False,CPU
-31,🧠🔁,Neural Network,[ModernNCA (default)](https://arxiv.org/abs/2407.03257),1210.0,+73/-78,0.124,28.58,13.67,18.902,14.9,0.323,✔️,0.0,False,GPU
-32,🌳,Tree-based,[ExtraTrees (tuned + ensembled)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1208.0,+82/-75,0.137,28.72,19.81,19.083,497.58,1.147,✔️,0.0,False,CPU
-33,🧠🔁,Neural Network,[TorchMLP (tuned)](https://arxiv.org/abs/2003.06505),1194.0,+62/-72,0.14,29.5,22.23,17.098,3693.32,0.131,✔️,0.0,False,CPU
-34,🧠🔁,Neural Network,[FastaiMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1186.0,+81/-86,0.136,29.99,21.14,18.568,1666.78,7.827,✔️,0.0,False,CPU
-35,🌳,Tree-based,[ExtraTrees (tuned)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1185.0,+83/-87,0.15,30.01,16.26,19.577,497.58,0.163,✔️,0.0,False,CPU
-36,🌳,Tree-based,[RandomForest (tuned + ensembled)](https://link.springer.com/article/10.1023/A:1010933404324),1147.0,+74/-74,0.093,32.14,24.1,20.32,575.62,1.155,✔️,0.0,False,CPU
-37,🌳,Tree-based,[LightGBM (default)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1139.0,+57/-62,0.082,32.54,27.73,18.504,3.63,0.218,✔️,0.0,False,CPU
-38,🌳,Tree-based,[XGBoost (default)](https://arxiv.org/abs/1603.02754),1130.0,+56/-65,0.054,33.03,28.56,18.427,3.1,0.207,✔️,0.0,False,CPU
-39,🧠🔁,Neural Network,[FastaiMLP (tuned)](https://arxiv.org/abs/2003.06505),1127.0,+71/-93,0.104,33.19,21.53,19.793,1666.78,0.561,✔️,0.0,False,CPU
-40,🌳,Tree-based,[RandomForest (tuned)](https://link.springer.com/article/10.1023/A:1010933404324),1098.0,+65/-75,0.045,34.71,28.85,21.333,575.62,0.147,✔️,0.0,False,CPU
-41,❓,Other,[xRFM (default)](https://arxiv.org/abs/2508.10053),1042.0,+92/-104,0.069,37.5,23.56,23.137,6.09,0.951,✔️,0.0,False,GPU
-42,🧠🔁,Neural Network,[TorchMLP (default)](https://arxiv.org/abs/2003.06505),1010.0,+60/-89,0.028,38.92,34.59,22.946,12.68,0.155,✔️,0.0,False,CPU
-43,🌳,Tree-based,[RandomForest (default)](https://link.springer.com/article/10.1023/A:1010933404324),1000.0,+71/-82,0.02,39.38,31.03,25.864,0.51,0.085,✔️,0.0,False,CPU
-44,🌳,Tree-based,[ExtraTrees (default)](https://link.springer.com/article/10.1007/s10994-006-6226-1),988.0,+76/-87,0.019,39.89,35.88,26.623,0.43,0.081,✔️,0.0,False,CPU
-45,🧠🔁,Neural Network,[FastaiMLP (default)](https://arxiv.org/abs/2003.06505),979.0,+59/-96,0.029,40.28,36.89,23.922,5.83,0.571,✔️,0.0,False,CPU
-46,📏,Baseline,[KNN (tuned + ensembled)](https://scikit-learn.org/stable/modules/neighbors.html),971.0,+64/-112,0.028,40.58,35.44,26.92,116.3,1.243,✔️,0.0,False,CPU
-47,📏,Baseline,[Linear (tuned + ensembled)](https://scikit-learn.org/stable/modules/linear_model.html),903.0,+85/-104,0.028,43.15,19.92,32.392,520.62,0.491,✔️,0.0,False,CPU
-48,📏,Baseline,[Linear (tuned)](https://scikit-learn.org/stable/modules/linear_model.html),874.0,+88/-111,0.024,44.08,27.96,32.903,520.62,0.097,✔️,0.0,False,CPU
-49,📏,Baseline,[Linear (default)](https://scikit-learn.org/stable/modules/linear_model.html),836.0,+102/-151,0.014,45.25,41.4,35.691,2.59,0.129,✔️,0.0,False,CPU
-50,📏,Baseline,[KNN (tuned)](https://scikit-learn.org/stable/modules/neighbors.html),809.0,+75/-122,0.014,45.97,43.86,32.92,116.3,0.075,✔️,0.0,False,CPU
-51,📏,Baseline,[KNN (default)](https://scikit-learn.org/stable/modules/neighbors.html),614.0,+94/-188,0.0,49.78,49.36,45.084,0.37,0.035,✔️,0.0,False,CPU
diff --git a/data/imputation_no/splits_lite/tasks_all/datasets_small/winrate_matrix.png.zip b/data/imputation_no/splits_lite/tasks_all/datasets_small/winrate_matrix.png.zip
deleted file mode 100644
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diff --git a/data/imputation_no/splits_lite/tasks_all/datasets_tabpfn/website_leaderboard.csv b/data/imputation_no/splits_lite/tasks_all/datasets_tabpfn/website_leaderboard.csv
deleted file mode 100644
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--- a/data/imputation_no/splits_lite/tasks_all/datasets_tabpfn/website_leaderboard.csv
+++ /dev/null
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-#,Type,TypeName,Model,Elo [⬆️],Elo 95% CI,Score [⬆️],Rank [⬇️],Harmonic Rank [⬇️],Improvability (%) [⬇️],Median Train Time (s/1K) [⬇️],Median Predict Time (s/1K) [⬇️],Verified,Imputed (%) [⬇️],Imputed,Hardware
-0,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned + ensembled)](https://arxiv.org/abs/2511.08667),1659.0,+124/-83,0.681,8.09,2.68,4.083,2200.35,8.314,✔️,0.0,False,GPU
-1,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (default)](https://arxiv.org/abs/2511.08667),1637.0,+88/-70,0.625,8.83,5.08,6.963,6.21,0.561,✔️,0.0,False,GPU
-2,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned)](https://arxiv.org/abs/2511.08667),1604.0,+111/-90,0.599,10.06,4.18,6.6,2200.35,0.882,✔️,0.0,False,GPU
-3,📊,Reference Pipeline,"[AutoGluon 1.4 (extreme, 4h)](https://arxiv.org/abs/2003.06505)",1577.0,+100/-80,0.576,11.15,4.65,7.89,625.63,7.662,✔️,0.0,False,GPU
-4,🧠⚡,Foundation Model,[TabPFNv2 (tuned + ensembled)](https://www.nature.com/articles/s41586-024-08328-6),1540.0,+102/-78,0.513,12.77,5.31,9.548,3650.56,52.333,✔️,0.0,False,GPU
-5,🧠🔁,Neural Network,[RealMLP (tuned + ensembled)](https://arxiv.org/abs/2407.04491),1539.0,+70/-55,0.482,12.85,7.33,10.583,3565.03,23.942,✔️,0.0,False,GPU
-6,📊,Reference Pipeline,"[AutoGluon 1.4 (best, 4h)](https://arxiv.org/abs/2003.06505)",1491.0,+61/-50,0.421,15.18,8.65,10.816,3035.75,1.498,✔️,0.0,False,CPU
-7,🧠🔁,Neural Network,[Mitra (default)](https://arxiv.org/abs/2510.21204),1488.0,+84/-71,0.425,15.35,7.31,10.796,137.76,3.046,✔️,0.0,False,GPU
-8,🧠🔁,Neural Network,[LimiX (default)](https://arxiv.org/abs/2509.03505),1476.0,+92/-77,0.461,15.95,5.64,12.913,4.66,0.611,➖,0.0,False,GPU
-9,🧠⚡,Foundation Model,[TabDPT (tuned + ensembled)](https://arxiv.org/abs/2410.18164),1466.0,+101/-76,0.457,16.45,4.86,10.352,7821.64,382.96,✔️,0.0,False,GPU
-10,🧠🔁,Neural Network,[RealMLP (tuned)](https://arxiv.org/abs/2407.04491),1459.0,+67/-64,0.393,16.86,9.05,11.945,3565.03,0.706,✔️,0.0,False,GPU
-11,🧠⚡,Foundation Model,[TabDPT (tuned)](https://arxiv.org/abs/2410.18164),1427.0,+110/-74,0.414,18.64,5.63,11.612,7821.64,39.414,✔️,0.0,False,GPU
-12,🧠⚡,Foundation Model,[TabPFNv2 (tuned)](https://www.nature.com/articles/s41586-024-08328-6),1416.0,+89/-76,0.353,19.24,10.4,12.117,3650.56,0.543,✔️,0.0,False,GPU
-13,🧠🔁,Neural Network,[TabM (tuned + ensembled)](https://arxiv.org/abs/2410.24210),1403.0,+84/-72,0.323,20.03,10.67,12.789,3407.57,1.449,✔️,0.0,False,GPU
-14,🌳,Tree-based,[LightGBM (tuned + ensembled)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1374.0,+57/-45,0.205,21.77,18.05,14.548,780.12,2.129,✔️,0.0,False,CPU
-15,🌳,Tree-based,[CatBoost (tuned + ensembled)](https://arxiv.org/abs/1706.09516),1364.0,+66/-58,0.228,22.32,16.6,14.21,2234.83,0.653,✔️,0.0,False,CPU
-16,🧠⚡,Foundation Model,[TabPFNv2 (default)](https://www.nature.com/articles/s41586-024-08328-6),1353.0,+86/-62,0.322,23.0,8.84,13.444,4.97,0.545,✔️,0.0,False,GPU
-17,🧠🔁,Neural Network,[TabM (tuned)](https://arxiv.org/abs/2410.24210),1334.0,+82/-71,0.249,24.2,15.56,13.869,3407.57,0.173,✔️,0.0,False,GPU
-18,🌳,Tree-based,[CatBoost (tuned)](https://arxiv.org/abs/1706.09516),1331.0,+58/-48,0.192,24.33,18.96,14.839,2234.83,0.071,✔️,0.0,False,CPU
-19,🧠⚡,Foundation Model,[TabDPT (default)](https://arxiv.org/abs/2410.18164),1331.0,+105/-85,0.327,24.33,7.87,14.157,51.52,40.033,✔️,0.0,False,GPU
-20,❓,Other,[xRFM (tuned + ensembled)](https://arxiv.org/abs/2508.10053),1331.0,+73/-57,0.222,24.36,16.98,14.964,1216.65,2.007,✔️,0.0,False,GPU
-21,🧠⚡,Foundation Model,[SAP-RPT-OSS (default)](https://arxiv.org/abs/2506.10707),1328.0,+82/-89,0.28,24.53,10.22,16.208,13.95,1.208,➖,0.0,False,GPU
-22,🌳,Tree-based,[XGBoost (tuned + ensembled)](https://arxiv.org/abs/1603.02754),1324.0,+49/-54,0.164,24.77,19.75,15.598,848.99,1.866,✔️,0.0,False,CPU
-23,🧠🔁,Neural Network,[ModernNCA (tuned + ensembled)](https://arxiv.org/abs/2407.03257),1324.0,+94/-76,0.245,24.82,16.14,15.646,6308.39,7.737,✔️,0.0,False,GPU
-24,🌳,Tree-based,[CatBoost (default)](https://arxiv.org/abs/1706.09516),1318.0,+59/-45,0.161,25.17,18.79,15.572,8.13,0.126,✔️,0.0,False,CPU
-25,🧠🔁,Neural Network,[ModernNCA (tuned)](https://arxiv.org/abs/2407.03257),1317.0,+78/-84,0.22,25.24,12.29,14.8,6308.39,0.477,✔️,0.0,False,GPU
-26,🌳,Tree-based,[XGBoost (tuned)](https://arxiv.org/abs/1603.02754),1311.0,+60/-51,0.151,25.61,13.89,15.742,848.99,0.298,✔️,0.0,False,CPU
-27,🌳,Tree-based,[LightGBM (tuned)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1302.0,+71/-62,0.153,26.12,21.25,15.595,780.12,0.381,✔️,0.0,False,CPU
-28,🌳,Tree-based,[EBM (tuned + ensembled)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1293.0,+72/-67,0.175,26.7,15.73,16.739,2961.52,0.521,✔️,0.0,False,CPU
-29,🧠🔁,Neural Network,[RealMLP (default)](https://arxiv.org/abs/2407.04491),1287.0,+65/-57,0.165,27.06,17.41,15.72,16.29,4.082,✔️,0.0,False,GPU
-30,🧠🔁,Neural Network,[TabM (default)](https://arxiv.org/abs/2410.24210),1282.0,+79/-82,0.209,27.36,17.44,16.14,13.3,0.146,✔️,0.0,False,GPU
-31,❓,Other,[xRFM (tuned)](https://arxiv.org/abs/2508.10053),1272.0,+70/-67,0.159,27.98,19.72,15.938,1216.65,0.097,✔️,0.0,False,GPU
-32,🌳,Tree-based,[EBM (tuned)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1249.0,+74/-65,0.14,29.45,13.07,17.471,2961.52,0.054,✔️,0.0,False,CPU
-33,🧠🔁,Neural Network,[TorchMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1247.0,+68/-64,0.139,29.55,22.59,16.216,3460.09,2.057,✔️,0.0,False,CPU
-34,🌳,Tree-based,[EBM (default)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1222.0,+78/-79,0.116,31.09,14.55,18.085,9.77,0.046,✔️,0.0,False,CPU
-35,🧠🔁,Neural Network,[ModernNCA (default)](https://arxiv.org/abs/2407.03257),1222.0,+69/-63,0.112,31.12,13.84,19.271,14.5,0.3,✔️,0.0,False,GPU
-36,🧠🔁,Neural Network,[FastaiMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1200.0,+86/-88,0.137,32.44,22.24,19.33,1453.07,6.678,✔️,0.0,False,CPU
-37,🌳,Tree-based,[ExtraTrees (tuned + ensembled)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1195.0,+72/-81,0.101,32.71,25.17,20.448,418.39,0.972,✔️,0.0,False,CPU
-38,🧠🔁,Neural Network,[TorchMLP (tuned)](https://arxiv.org/abs/2003.06505),1181.0,+67/-65,0.103,33.55,26.9,17.821,3460.09,0.121,✔️,0.0,False,CPU
-39,🌳,Tree-based,[ExtraTrees (tuned)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1175.0,+75/-87,0.124,33.91,19.54,20.873,418.39,0.147,✔️,0.0,False,CPU
-40,🧠🔁,Neural Network,[FastaiMLP (tuned)](https://arxiv.org/abs/2003.06505),1139.0,+81/-83,0.102,36.0,22.39,20.613,1453.07,0.637,✔️,0.0,False,CPU
-41,🌳,Tree-based,[RandomForest (tuned + ensembled)](https://link.springer.com/article/10.1023/A:1010933404324),1133.0,+77/-94,0.066,36.36,27.61,21.785,563.93,0.997,✔️,0.0,False,CPU
-42,🌳,Tree-based,[XGBoost (default)](https://arxiv.org/abs/1603.02754),1122.0,+55/-61,0.03,36.94,33.98,19.728,2.86,0.19,✔️,0.0,False,CPU
-43,🌳,Tree-based,[LightGBM (default)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1110.0,+54/-67,0.039,37.59,34.3,19.956,3.28,0.179,✔️,0.0,False,CPU
-44,🌳,Tree-based,[RandomForest (tuned)](https://link.springer.com/article/10.1023/A:1010933404324),1091.0,+69/-85,0.04,38.65,32.69,22.688,563.93,0.149,✔️,0.0,False,CPU
-45,❓,Other,[xRFM (default)](https://arxiv.org/abs/2508.10053),1047.0,+90/-107,0.07,40.88,24.07,24.424,5.55,0.867,✔️,0.0,False,GPU
-46,🧠🔁,Neural Network,[TorchMLP (default)](https://arxiv.org/abs/2003.06505),1010.0,+76/-83,0.028,42.67,37.31,23.923,9.39,0.15,✔️,0.0,False,CPU
-47,🌳,Tree-based,[RandomForest (default)](https://link.springer.com/article/10.1023/A:1010933404324),1000.0,+86/-110,0.022,43.11,34.47,26.668,0.48,0.074,✔️,0.0,False,CPU
-48,🌳,Tree-based,[ExtraTrees (default)](https://link.springer.com/article/10.1007/s10994-006-6226-1),989.0,+92/-119,0.019,43.61,39.31,27.3,0.38,0.075,✔️,0.0,False,CPU
-49,🧠🔁,Neural Network,[FastaiMLP (default)](https://arxiv.org/abs/2003.06505),984.0,+78/-97,0.027,43.82,39.97,24.547,5.2,0.522,✔️,0.0,False,CPU
-50,📏,Baseline,[KNN (tuned + ensembled)](https://scikit-learn.org/stable/modules/neighbors.html),959.0,+74/-87,0.007,44.85,42.33,28.135,101.2,1.135,✔️,0.0,False,CPU
-51,📏,Baseline,[Linear (tuned + ensembled)](https://scikit-learn.org/stable/modules/linear_model.html),918.0,+86/-113,0.03,46.45,19.62,32.177,497.63,0.481,✔️,0.0,False,CPU
-52,📏,Baseline,[Linear (tuned)](https://scikit-learn.org/stable/modules/linear_model.html),892.0,+84/-104,0.026,47.38,28.29,32.668,497.63,0.084,✔️,0.0,False,CPU
-53,📏,Baseline,[Linear (default)](https://scikit-learn.org/stable/modules/linear_model.html),857.0,+100/-122,0.012,48.52,44.3,34.952,2.47,0.121,✔️,0.0,False,CPU
-54,📏,Baseline,[KNN (tuned)](https://scikit-learn.org/stable/modules/neighbors.html),780.0,+83/-110,0.0,50.64,49.92,34.443,101.2,0.065,✔️,0.0,False,CPU
-55,📏,Baseline,[KNN (default)](https://scikit-learn.org/stable/modules/neighbors.html),629.0,+108/-167,0.0,53.58,53.12,45.322,0.28,0.026,✔️,0.0,False,CPU
diff --git a/data/imputation_no/splits_lite/tasks_all/datasets_tabpfn/winrate_matrix.png.zip b/data/imputation_no/splits_lite/tasks_all/datasets_tabpfn/winrate_matrix.png.zip
deleted file mode 100644
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+++ /dev/null
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diff --git a/data/imputation_no/splits_lite/tasks_binary/datasets_all/pareto_front_improvability_vs_time_infer.png.zip b/data/imputation_no/splits_lite/tasks_binary/datasets_all/pareto_front_improvability_vs_time_infer.png.zip
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diff --git a/data/imputation_no/splits_lite/tasks_binary/datasets_all/website_leaderboard.csv b/data/imputation_no/splits_lite/tasks_binary/datasets_all/website_leaderboard.csv
deleted file mode 100644
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+++ /dev/null
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-#,Type,TypeName,Model,Elo [⬆️],Elo 95% CI,Score [⬆️],Rank [⬇️],Harmonic Rank [⬇️],Improvability (%) [⬇️],Median Train Time (s/1K) [⬇️],Median Predict Time (s/1K) [⬇️],Verified,Imputed (%) [⬇️],Imputed,Hardware
-0,📊,Reference Pipeline,"[AutoGluon 1.4 (extreme, 4h)](https://arxiv.org/abs/2003.06505)",1590.0,+119/-93,0.648,9.35,3.43,5.81,442.6,6.737,✔️,0.0,False,GPU
-1,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned + ensembled)](https://arxiv.org/abs/2511.08667),1579.0,+111/-77,0.609,9.77,3.26,5.304,1877.76,10.745,✔️,0.0,False,GPU
-2,📊,Reference Pipeline,"[AutoGluon 1.4 (best, 4h)](https://arxiv.org/abs/2003.06505)",1577.0,+108/-77,0.594,9.83,4.47,7.105,1231.21,1.36,✔️,0.0,False,CPU
-3,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (default)](https://arxiv.org/abs/2511.08667),1564.0,+102/-71,0.581,10.37,4.61,6.664,4.79,0.708,✔️,0.0,False,GPU
-4,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned)](https://arxiv.org/abs/2511.08667),1550.0,+112/-67,0.573,10.93,4.43,6.335,1877.76,1.035,✔️,0.0,False,GPU
-5,🧠🔁,Neural Network,[RealMLP (tuned + ensembled)](https://arxiv.org/abs/2407.04491),1528.0,+76/-64,0.5,11.87,7.75,8.851,2721.85,9.311,✔️,0.0,False,GPU
-6,🧠🔁,Neural Network,[RealMLP (tuned)](https://arxiv.org/abs/2407.04491),1445.0,+85/-69,0.413,15.82,7.11,10.814,2721.85,0.265,✔️,0.0,False,GPU
-7,🧠🔁,Neural Network,[TabM (tuned + ensembled)](https://arxiv.org/abs/2410.24210),1436.0,+87/-65,0.407,16.3,6.89,10.688,2180.12,1.135,✔️,0.0,False,GPU
-8,🌳,Tree-based,[LightGBM (tuned + ensembled)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1412.0,+61/-52,0.311,17.55,13.05,12.299,328.64,0.774,✔️,0.0,False,CPU
-9,🌳,Tree-based,[CatBoost (default)](https://arxiv.org/abs/1706.09516),1389.0,+66/-53,0.312,18.83,9.75,11.883,3.84,0.068,✔️,0.0,False,CPU
-10,🌳,Tree-based,[XGBoost (tuned + ensembled)](https://arxiv.org/abs/1603.02754),1389.0,+80/-70,0.313,18.85,10.8,12.863,462.92,0.613,✔️,0.0,False,CPU
-11,🧠⚡,Foundation Model,[TabDPT (tuned + ensembled)](https://arxiv.org/abs/2410.18164),1388.0,+82/-64,0.349,18.9,6.77,9.224,5890.6,409.986,✔️,0.0,False,GPU
-12,🧠🔁,Neural Network,[ModernNCA (tuned)](https://arxiv.org/abs/2407.03257),1387.0,+103/-82,0.342,18.95,8.73,11.731,3436.74,0.405,✔️,0.0,False,GPU
-13,🌳,Tree-based,[CatBoost (tuned + ensembled)](https://arxiv.org/abs/1706.09516),1376.0,+74/-74,0.321,19.53,11.86,12.014,1043.89,0.478,✔️,0.0,False,CPU
-14,🧠🔁,Neural Network,[ModernNCA (tuned + ensembled)](https://arxiv.org/abs/2407.03257),1372.0,+103/-100,0.37,19.82,7.66,11.877,3436.74,8.478,✔️,0.0,False,GPU
-15,🧠🔁,Neural Network,[TabM (tuned)](https://arxiv.org/abs/2410.24210),1362.0,+95/-74,0.321,20.38,10.84,11.826,2180.12,0.117,✔️,0.0,False,GPU
-16,🌳,Tree-based,[CatBoost (tuned)](https://arxiv.org/abs/1706.09516),1351.0,+61/-58,0.285,20.97,13.89,12.55,1043.89,0.041,✔️,0.0,False,CPU
-17,🌳,Tree-based,[XGBoost (tuned)](https://arxiv.org/abs/1603.02754),1350.0,+76/-81,0.268,21.07,10.02,13.249,462.92,0.108,✔️,0.0,False,CPU
-18,🧠⚡,Foundation Model,[BetaTabPFN (default)](https://arxiv.org/abs/2502.02527),1350.0,+100/-71,0.279,21.07,11.61,14.097,248.47,1.7,➖,0.0,False,GPU
-19,🧠⚡,Foundation Model,[TabDPT (tuned)](https://arxiv.org/abs/2410.18164),1341.0,+86/-82,0.303,21.55,7.56,11.439,5890.6,39.565,✔️,0.0,False,GPU
-20,🌳,Tree-based,[LightGBM (tuned)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1338.0,+63/-58,0.239,21.77,17.15,13.479,328.64,0.089,✔️,0.0,False,CPU
-21,🌳,Tree-based,[EBM (tuned + ensembled)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1333.0,+77/-54,0.229,22.03,13.33,14.266,1579.5,0.428,✔️,0.0,False,CPU
-22,❓,Other,[xRFM (tuned + ensembled)](https://arxiv.org/abs/2508.10053),1316.0,+76/-88,0.242,23.03,13.77,13.146,559.77,1.513,✔️,0.0,False,GPU
-23,🧠🔁,Neural Network,[RealMLP (default)](https://arxiv.org/abs/2407.04491),1314.0,+57/-52,0.186,23.13,15.58,13.373,9.04,1.162,✔️,0.0,False,GPU
-24,🧠🔁,Neural Network,[TabM (default)](https://arxiv.org/abs/2410.24210),1301.0,+94/-79,0.247,23.93,15.31,14.371,8.0,0.124,✔️,0.0,False,GPU
-25,🧠🔁,Neural Network,[TorchMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1286.0,+71/-59,0.185,24.8,17.62,13.555,2206.58,2.301,✔️,0.0,False,CPU
-26,❓,Other,[xRFM (tuned)](https://arxiv.org/abs/2508.10053),1273.0,+66/-70,0.174,25.55,17.34,14.801,559.77,0.086,✔️,0.0,False,GPU
-27,🌳,Tree-based,[EBM (tuned)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1271.0,+68/-57,0.158,25.7,12.91,15.04,1579.5,0.05,✔️,0.0,False,CPU
-28,🌳,Tree-based,[EBM (default)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1266.0,+73/-64,0.166,26.0,12.49,16.039,4.79,0.045,✔️,0.0,False,CPU
-29,🧠⚡,Foundation Model,[SAP-RPT-OSS (default)](https://arxiv.org/abs/2506.10707),1249.0,+84/-83,0.202,27.0,10.67,16.519,13.07,3.169,➖,0.0,False,GPU
-30,🧠⚡,Foundation Model,[TabDPT (default)](https://arxiv.org/abs/2410.18164),1230.0,+75/-95,0.188,28.08,10.84,14.643,47.89,39.446,✔️,0.0,False,GPU
-31,🧠🔁,Neural Network,[FastaiMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1226.0,+75/-91,0.15,28.35,20.21,16.576,561.29,4.462,✔️,0.0,False,CPU
-32,🌳,Tree-based,[XGBoost (default)](https://arxiv.org/abs/1603.02754),1211.0,+88/-82,0.147,29.23,13.65,16.157,1.42,0.118,✔️,0.0,False,CPU
-33,🧠🔁,Neural Network,[TorchMLP (tuned)](https://arxiv.org/abs/2003.06505),1203.0,+75/-66,0.137,29.67,23.42,15.971,2206.58,0.107,✔️,0.0,False,CPU
-34,🧠🔁,Neural Network,[ModernNCA (default)](https://arxiv.org/abs/2407.03257),1195.0,+67/-67,0.113,30.17,13.05,16.981,11.15,0.312,✔️,0.0,False,GPU
-35,🌳,Tree-based,[ExtraTrees (tuned + ensembled)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1173.0,+73/-64,0.084,31.38,25.47,17.929,122.9,0.583,✔️,0.0,False,CPU
-36,🌳,Tree-based,[RandomForest (tuned + ensembled)](https://link.springer.com/article/10.1023/A:1010933404324),1146.0,+68/-82,0.063,32.93,27.11,19.335,171.61,0.552,✔️,0.0,False,CPU
-37,🧠🔁,Neural Network,[FastaiMLP (tuned)](https://arxiv.org/abs/2003.06505),1141.0,+81/-116,0.106,33.2,18.63,18.689,561.29,0.236,✔️,0.0,False,CPU
-38,🌳,Tree-based,[LightGBM (default)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1140.0,+67/-72,0.077,33.22,28.89,17.164,0.93,0.094,✔️,0.0,False,CPU
-39,🌳,Tree-based,[ExtraTrees (tuned)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1132.0,+76/-91,0.093,33.7,19.75,19.542,122.9,0.072,✔️,0.0,False,CPU
-40,🌳,Tree-based,[RandomForest (tuned)](https://link.springer.com/article/10.1023/A:1010933404324),1110.0,+65/-70,0.022,34.88,31.35,19.987,171.61,0.053,✔️,0.0,False,CPU
-41,🧠🔁,Neural Network,[TorchMLP (default)](https://arxiv.org/abs/2003.06505),1042.0,+72/-74,0.038,38.33,33.43,21.241,4.97,0.092,✔️,0.0,False,CPU
-42,🧠⚡,Foundation Model,[TabFlex (default)](https://arxiv.org/abs/2506.05584),1012.0,+110/-134,0.074,39.73,29.98,26.368,0.81,0.115,➖,0.0,False,GPU
-43,🌳,Tree-based,[RandomForest (default)](https://link.springer.com/article/10.1023/A:1010933404324),1000.0,+76/-99,0.024,40.25,30.25,24.153,0.29,0.031,✔️,0.0,False,CPU
-44,🧠🔁,Neural Network,[FastaiMLP (default)](https://arxiv.org/abs/2003.06505),999.0,+75/-104,0.036,40.3,36.56,21.709,2.79,0.259,✔️,0.0,False,CPU
-45,📏,Baseline,[KNN (tuned + ensembled)](https://scikit-learn.org/stable/modules/neighbors.html),984.0,+68/-94,0.007,40.97,39.02,24.344,140.66,3.209,✔️,0.0,False,CPU
-46,📏,Baseline,[Linear (tuned + ensembled)](https://scikit-learn.org/stable/modules/linear_model.html),973.0,+97/-119,0.038,41.4,17.5,27.974,155.53,0.277,✔️,0.0,False,CPU
-47,📏,Baseline,[Linear (tuned)](https://scikit-learn.org/stable/modules/linear_model.html),939.0,+94/-131,0.03,42.78,25.42,28.635,155.53,0.05,✔️,0.0,False,CPU
-48,❓,Other,[xRFM (default)](https://arxiv.org/abs/2508.10053),937.0,+92/-120,0.042,42.83,37.6,26.894,2.71,0.392,✔️,0.0,False,GPU
-49,🌳,Tree-based,[ExtraTrees (default)](https://link.springer.com/article/10.1007/s10994-006-6226-1),933.0,+95/-117,0.017,43.0,38.73,25.978,0.18,0.035,✔️,0.0,False,CPU
-50,📏,Baseline,[Linear (default)](https://scikit-learn.org/stable/modules/linear_model.html),902.0,+100/-108,0.017,44.13,40.28,30.385,0.8,0.088,✔️,0.0,False,CPU
-51,📏,Baseline,[KNN (tuned)](https://scikit-learn.org/stable/modules/neighbors.html),816.0,+76/-103,0.0,46.8,46.07,30.623,140.66,0.188,✔️,0.0,False,CPU
-52,📏,Baseline,[KNN (default)](https://scikit-learn.org/stable/modules/neighbors.html),598.0,+96/-211,0.0,51.0,50.66,43.731,0.15,0.024,✔️,0.0,False,CPU
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-#,Type,TypeName,Model,Elo [⬆️],Elo 95% CI,Score [⬆️],Rank [⬇️],Harmonic Rank [⬇️],Improvability (%) [⬇️],Median Train Time (s/1K) [⬇️],Median Predict Time (s/1K) [⬇️],Verified,Imputed (%) [⬇️],Imputed,Hardware
-0,📊,Reference Pipeline,"[AutoGluon 1.4 (best, 4h)](https://arxiv.org/abs/2003.06505)",2082.0,+245/-69,0.869,3.33,2.13,1.537,310.55,1.824,✔️,0.0,False,CPU
-1,📊,Reference Pipeline,"[AutoGluon 1.4 (extreme, 4h)](https://arxiv.org/abs/2003.06505)",2019.0,+291/-84,0.84,4.22,2.22,2.096,256.14,2.868,✔️,0.0,False,GPU
-2,🧠🔁,Neural Network,[ModernNCA (tuned + ensembled)](https://arxiv.org/abs/2407.03257),1765.0,+279/-167,0.623,10.67,3.82,4.453,2149.06,6.373,✔️,0.0,False,GPU
-3,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned + ensembled)](https://arxiv.org/abs/2511.08667),1744.0,+244/-174,0.53,11.44,4.11,5.875,841.84,11.882,✔️,0.0,False,GPU
-4,🧠🔁,Neural Network,[RealMLP (tuned + ensembled)](https://arxiv.org/abs/2407.04491),1738.0,+140/-54,0.523,11.67,8.77,5.562,1655.56,2.483,✔️,0.0,False,GPU
-5,🌳,Tree-based,[XGBoost (tuned + ensembled)](https://arxiv.org/abs/1603.02754),1729.0,+193/-106,0.465,12.0,8.28,7.345,114.48,0.404,✔️,0.0,False,CPU
-6,🌳,Tree-based,[CatBoost (tuned + ensembled)](https://arxiv.org/abs/1706.09516),1709.0,+217/-118,0.524,12.78,7.57,6.556,618.23,0.184,✔️,0.0,False,CPU
-7,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned)](https://arxiv.org/abs/2511.08667),1690.0,+231/-142,0.454,13.56,7.61,7.872,841.84,1.263,✔️,0.0,False,GPU
-8,🧠🔁,Neural Network,[TabM (tuned + ensembled)](https://arxiv.org/abs/2410.24210),1687.0,+230/-118,0.48,13.67,5.12,7.382,807.72,0.575,✔️,0.0,False,GPU
-9,🌳,Tree-based,[CatBoost (tuned)](https://arxiv.org/abs/1706.09516),1680.0,+164/-103,0.494,13.94,8.68,6.655,618.23,0.031,✔️,0.0,False,CPU
-10,🌳,Tree-based,[LightGBM (tuned + ensembled)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1679.0,+216/-114,0.437,14.0,9.96,8.481,87.3,0.533,✔️,0.0,False,CPU
-11,🧠🔁,Neural Network,[ModernNCA (tuned)](https://arxiv.org/abs/2407.03257),1658.0,+190/-123,0.426,14.89,10.06,9.295,2149.06,0.318,✔️,0.0,False,GPU
-12,🌳,Tree-based,[CatBoost (default)](https://arxiv.org/abs/1706.09516),1656.0,+157/-90,0.465,14.94,5.57,6.571,2.12,0.043,✔️,0.0,False,CPU
-13,🌳,Tree-based,[XGBoost (tuned)](https://arxiv.org/abs/1603.02754),1632.0,+174/-117,0.404,16.0,10.85,7.667,114.48,0.058,✔️,0.0,False,CPU
-14,🧠🔁,Neural Network,[RealMLP (tuned)](https://arxiv.org/abs/2407.04491),1630.0,+184/-110,0.399,16.11,9.32,8.174,1655.56,0.086,✔️,0.0,False,GPU
-15,🌳,Tree-based,[LightGBM (tuned)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1598.0,+189/-122,0.335,17.56,13.39,9.425,87.3,0.069,✔️,0.0,False,CPU
-16,🧠🔁,Neural Network,[TabM (tuned)](https://arxiv.org/abs/2410.24210),1596.0,+233/-167,0.398,17.67,8.34,8.03,807.72,0.07,✔️,0.0,False,GPU
-17,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (default)](https://arxiv.org/abs/2511.08667),1565.0,+184/-145,0.336,19.11,8.97,7.783,2.32,0.889,✔️,0.0,False,GPU
-18,🧠⚡,Foundation Model,[TabICL (default)](https://arxiv.org/abs/2502.05564),1549.0,+185/-166,0.301,19.89,9.62,9.48,9.96,4.847,✔️,0.0,False,GPU
-19,🧠🔁,Neural Network,[TabM (default)](https://arxiv.org/abs/2410.24210),1490.0,+193/-200,0.254,22.78,18.48,10.588,5.77,0.078,✔️,0.0,False,GPU
-20,🌳,Tree-based,[XGBoost (default)](https://arxiv.org/abs/1603.02754),1478.0,+190/-198,0.27,23.33,6.55,10.147,0.48,0.047,✔️,0.0,False,CPU
-21,🧠🔁,Neural Network,[TorchMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1476.0,+115/-70,0.177,23.44,19.25,9.902,1128.19,1.674,✔️,0.0,False,CPU
-22,❓,Other,[xRFM (tuned + ensembled)](https://arxiv.org/abs/2508.10053),1474.0,+152/-152,0.249,23.56,15.3,9.606,559.89,1.156,✔️,0.0,False,GPU
-23,🌳,Tree-based,[EBM (tuned + ensembled)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1461.0,+183/-126,0.219,24.22,20.34,13.211,262.92,0.205,✔️,0.0,False,CPU
-24,🧠⚡,Foundation Model,[TabDPT (tuned + ensembled)](https://arxiv.org/abs/2410.18164),1452.0,+177/-155,0.188,24.67,18.7,10.102,4560.06,421.968,✔️,0.0,False,GPU
-25,❓,Other,[xRFM (tuned)](https://arxiv.org/abs/2508.10053),1450.0,+162/-120,0.167,24.78,17.43,12.787,559.89,0.056,✔️,0.0,False,GPU
-26,🧠🔁,Neural Network,[RealMLP (default)](https://arxiv.org/abs/2407.04491),1426.0,+92/-76,0.09,26.0,23.71,11.863,6.55,0.295,✔️,0.0,False,GPU
-27,🧠🔁,Neural Network,[FastaiMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1393.0,+116/-158,0.111,27.67,22.36,12.364,368.88,2.507,✔️,0.0,False,CPU
-28,🧠⚡,Foundation Model,[TabDPT (tuned)](https://arxiv.org/abs/2410.18164),1374.0,+210/-170,0.14,28.61,17.82,13.801,4560.06,39.452,✔️,0.0,False,GPU
-29,🧠⚡,Foundation Model,[BetaTabPFN (default)](https://arxiv.org/abs/2502.02527),1351.0,+190/-189,0.133,29.78,19.24,13.488,92.9,0.786,➖,0.0,False,GPU
-30,🌳,Tree-based,[EBM (default)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1338.0,+184/-122,0.082,30.44,27.41,16.174,0.92,0.018,✔️,0.0,False,CPU
-31,🌳,Tree-based,[EBM (tuned)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1331.0,+202/-158,0.1,30.78,25.37,14.896,262.92,0.015,✔️,0.0,False,CPU
-32,🧠🔁,Neural Network,[TorchMLP (tuned)](https://arxiv.org/abs/2003.06505),1319.0,+124/-143,0.083,31.33,27.66,13.481,1128.19,0.055,✔️,0.0,False,CPU
-33,🌳,Tree-based,[RandomForest (tuned + ensembled)](https://link.springer.com/article/10.1023/A:1010933404324),1303.0,+54/-71,0.017,32.11,31.18,14.731,43.93,0.204,✔️,0.0,False,CPU
-34,🌳,Tree-based,[ExtraTrees (tuned + ensembled)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1303.0,+130/-170,0.038,32.11,28.53,13.452,40.45,0.331,✔️,0.0,False,CPU
-35,🌳,Tree-based,[LightGBM (default)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1273.0,+116/-159,0.048,33.56,31.2,12.558,0.34,0.052,✔️,0.0,False,CPU
-36,🌳,Tree-based,[RandomForest (tuned)](https://link.springer.com/article/10.1023/A:1010933404324),1261.0,+54/-66,0.001,34.11,33.7,15.152,43.93,0.018,✔️,0.0,False,CPU
-37,🧠⚡,Foundation Model,[SAP-RPT-OSS (default)](https://arxiv.org/abs/2506.10707),1244.0,+126/-137,0.028,34.89,31.35,17.012,16.58,16.469,➖,0.0,False,GPU
-38,🧠🔁,Neural Network,[ModernNCA (default)](https://arxiv.org/abs/2407.03257),1234.0,+112/-132,0.015,35.33,33.85,14.1,9.93,0.224,✔️,0.0,False,GPU
-39,🧠⚡,Foundation Model,[TabDPT (default)](https://arxiv.org/abs/2410.18164),1220.0,+143/-231,0.027,35.94,31.86,18.215,41.8,39.131,✔️,0.0,False,GPU
-40,🌳,Tree-based,[ExtraTrees (tuned)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1194.0,+133/-163,0.022,37.11,33.97,17.05,40.45,0.028,✔️,0.0,False,CPU
-41,🧠🔁,Neural Network,[FastaiMLP (tuned)](https://arxiv.org/abs/2003.06505),1183.0,+113/-195,0.02,37.56,35.42,16.514,368.88,0.084,✔️,0.0,False,CPU
-42,🧠🔁,Neural Network,[TorchMLP (default)](https://arxiv.org/abs/2003.06505),1146.0,+105/-138,0.013,39.11,37.42,16.247,1.81,0.048,✔️,0.0,False,CPU
-43,📏,Baseline,[Linear (tuned + ensembled)](https://scikit-learn.org/stable/modules/linear_model.html),1104.0,+175/-278,0.017,40.72,36.53,25.559,43.96,0.099,✔️,0.0,False,CPU
-44,📏,Baseline,[KNN (tuned + ensembled)](https://scikit-learn.org/stable/modules/neighbors.html),1094.0,+120/-205,0.018,41.11,38.5,20.908,514.21,52.341,✔️,0.0,False,CPU
-45,🧠🔁,Neural Network,[FastaiMLP (default)](https://arxiv.org/abs/2003.06505),1067.0,+142/-249,0.026,42.11,38.81,19.261,1.61,0.113,✔️,0.0,False,CPU
-46,📏,Baseline,[Linear (tuned)](https://scikit-learn.org/stable/modules/linear_model.html),1056.0,+172/-263,0.002,42.5,39.56,26.294,43.96,0.024,✔️,0.0,False,CPU
-47,🌳,Tree-based,[RandomForest (default)](https://link.springer.com/article/10.1023/A:1010933404324),1000.0,+128/-282,0.0,44.33,43.22,22.447,0.11,0.012,✔️,0.0,False,CPU
-48,❓,Other,[xRFM (default)](https://arxiv.org/abs/2508.10053),897.0,+236/-634,0.026,47.22,40.25,30.801,2.77,0.157,✔️,0.0,False,GPU
-49,📏,Baseline,[Linear (default)](https://scikit-learn.org/stable/modules/linear_model.html),878.0,+102/-219,0.0,47.67,47.32,28.037,0.22,0.022,✔️,0.0,False,CPU
-50,🌳,Tree-based,[ExtraTrees (default)](https://link.springer.com/article/10.1007/s10994-006-6226-1),859.0,+112/-244,0.0,48.11,47.78,25.027,0.1,0.02,✔️,0.0,False,CPU
-51,📏,Baseline,[KNN (tuned)](https://scikit-learn.org/stable/modules/neighbors.html),844.0,+63/-158,0.0,48.44,48.17,28.826,514.21,2.49,✔️,0.0,False,CPU
-52,🧠⚡,Foundation Model,[TabFlex (default)](https://arxiv.org/abs/2506.05584),817.0,+118/-265,0.0,49.0,48.5,33.173,0.2,0.035,➖,0.0,False,GPU
-53,📏,Baseline,[KNN (default)](https://scikit-learn.org/stable/modules/neighbors.html),486.0,+98/-384,0.0,53.11,53.08,46.122,0.11,0.089,✔️,0.0,False,CPU
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-#,Type,TypeName,Model,Elo [⬆️],Elo 95% CI,Score [⬆️],Rank [⬇️],Harmonic Rank [⬇️],Improvability (%) [⬇️],Median Train Time (s/1K) [⬇️],Median Predict Time (s/1K) [⬇️],Verified,Imputed (%) [⬇️],Imputed,Hardware
-0,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (default)](https://arxiv.org/abs/2511.08667),1633.0,+102/-59,0.671,6.86,3.84,6.489,5.53,0.55,✔️,0.0,False,GPU
-1,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned + ensembled)](https://arxiv.org/abs/2511.08667),1558.0,+149/-88,0.63,9.33,3.24,5.365,2125.17,9.785,✔️,0.0,False,GPU
-2,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned)](https://arxiv.org/abs/2511.08667),1534.0,+150/-105,0.609,10.24,3.85,5.981,2125.17,0.882,✔️,0.0,False,GPU
-3,📊,Reference Pipeline,"[AutoGluon 1.4 (extreme, 4h)](https://arxiv.org/abs/2003.06505)",1491.0,+143/-97,0.551,12.05,4.61,7.707,613.33,8.472,✔️,0.0,False,GPU
-4,🧠🔁,Neural Network,[RealMLP (tuned + ensembled)](https://arxiv.org/abs/2407.04491),1478.0,+92/-86,0.469,12.62,7.76,10.57,2791.97,23.942,✔️,0.0,False,GPU
-5,📊,Reference Pipeline,"[AutoGluon 1.4 (best, 4h)](https://arxiv.org/abs/2003.06505)",1468.0,+100/-79,0.466,13.1,9.33,9.79,1886.83,1.333,✔️,0.0,False,CPU
-6,🧠🔁,Neural Network,[LimiX (default)](https://arxiv.org/abs/2509.03505),1420.0,+121/-84,0.459,15.5,5.32,10.535,4.14,0.557,➖,0.0,False,GPU
-7,🧠🔁,Neural Network,[RealMLP (tuned)](https://arxiv.org/abs/2407.04491),1403.0,+106/-74,0.396,16.4,6.88,12.26,2791.97,0.544,✔️,0.0,False,GPU
-8,🧠⚡,Foundation Model,[TabDPT (tuned + ensembled)](https://arxiv.org/abs/2410.18164),1386.0,+107/-85,0.411,17.33,5.49,9.125,6616.87,408.881,✔️,0.0,False,GPU
-9,🧠🔁,Neural Network,[TabM (tuned + ensembled)](https://arxiv.org/abs/2410.24210),1371.0,+114/-85,0.36,18.14,8.26,12.409,2237.77,1.273,✔️,0.0,False,GPU
-10,🧠⚡,Foundation Model,[BetaTabPFN (default)](https://arxiv.org/abs/2502.02527),1370.0,+126/-89,0.334,18.19,10.23,14.65,298.33,2.036,➖,0.0,False,GPU
-11,🧠⚡,Foundation Model,[TabDPT (tuned)](https://arxiv.org/abs/2410.18164),1349.0,+93/-90,0.368,19.43,6.21,10.701,6616.87,39.713,✔️,0.0,False,GPU
-12,🌳,Tree-based,[LightGBM (tuned + ensembled)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1340.0,+69/-51,0.249,19.98,15.9,14.232,512.11,1.17,✔️,0.0,False,CPU
-13,🌳,Tree-based,[CatBoost (default)](https://arxiv.org/abs/1706.09516),1315.0,+80/-52,0.233,21.4,15.72,14.463,4.51,0.124,✔️,0.0,False,CPU
-14,🧠🔁,Neural Network,[ModernNCA (tuned)](https://arxiv.org/abs/2407.03257),1314.0,+153/-85,0.299,21.5,8.72,13.061,4618.5,0.426,✔️,0.0,False,GPU
-15,🌳,Tree-based,[EBM (tuned + ensembled)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1304.0,+94/-84,0.222,22.1,12.49,15.018,1640.58,0.552,✔️,0.0,False,CPU
-16,🧠🔁,Neural Network,[TabM (tuned)](https://arxiv.org/abs/2410.24210),1300.0,+113/-103,0.275,22.36,12.8,13.757,2237.77,0.147,✔️,0.0,False,GPU
-17,🌳,Tree-based,[XGBoost (tuned + ensembled)](https://arxiv.org/abs/1603.02754),1295.0,+91/-79,0.233,22.64,12.82,15.531,700.96,0.743,✔️,0.0,False,CPU
-18,🧠🔁,Neural Network,[RealMLP (default)](https://arxiv.org/abs/2407.04491),1290.0,+78/-58,0.214,22.95,14.09,14.324,11.09,2.46,✔️,0.0,False,GPU
-19,🌳,Tree-based,[CatBoost (tuned + ensembled)](https://arxiv.org/abs/1706.09516),1284.0,+89/-80,0.219,23.29,16.54,14.659,1103.84,0.559,✔️,0.0,False,CPU
-20,❓,Other,[xRFM (tuned + ensembled)](https://arxiv.org/abs/2508.10053),1276.0,+88/-87,0.231,23.76,15.23,14.953,536.23,1.738,✔️,0.0,False,GPU
-21,🌳,Tree-based,[XGBoost (tuned)](https://arxiv.org/abs/1603.02754),1270.0,+77/-78,0.202,24.14,9.89,15.938,700.96,0.203,✔️,0.0,False,CPU
-22,🌳,Tree-based,[LightGBM (tuned)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1264.0,+69/-69,0.19,24.52,20.93,15.511,512.11,0.122,✔️,0.0,False,CPU
-23,🧠🔁,Neural Network,[ModernNCA (tuned + ensembled)](https://arxiv.org/abs/2407.03257),1264.0,+126/-92,0.253,24.55,13.89,15.354,4618.5,9.218,✔️,0.0,False,GPU
-24,🌳,Tree-based,[EBM (tuned)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1263.0,+82/-64,0.176,24.57,10.88,15.396,1640.58,0.059,✔️,0.0,False,CPU
-25,🧠⚡,Foundation Model,[SAP-RPT-OSS (default)](https://arxiv.org/abs/2506.10707),1261.0,+108/-115,0.261,24.71,10.69,16.614,8.99,1.724,➖,0.0,False,GPU
-26,🌳,Tree-based,[CatBoost (tuned)](https://arxiv.org/abs/1706.09516),1258.0,+84/-74,0.189,24.88,19.23,15.373,1103.84,0.051,✔️,0.0,False,CPU
-27,🌳,Tree-based,[EBM (default)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1254.0,+88/-86,0.186,25.14,10.52,16.286,7.16,0.046,✔️,0.0,False,CPU
-28,🧠🔁,Neural Network,[TabM (default)](https://arxiv.org/abs/2410.24210),1250.0,+101/-84,0.234,25.38,14.6,16.289,11.3,0.149,✔️,0.0,False,GPU
-29,🧠⚡,Foundation Model,[TabDPT (default)](https://arxiv.org/abs/2410.18164),1244.0,+108/-95,0.256,25.76,8.54,13.383,52.04,39.82,✔️,0.0,False,GPU
-30,🧠🔁,Neural Network,[TorchMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1234.0,+100/-84,0.187,26.38,17.43,15.412,2535.0,2.546,✔️,0.0,False,CPU
-31,❓,Other,[xRFM (tuned)](https://arxiv.org/abs/2508.10053),1223.0,+87/-94,0.171,27.07,19.06,15.96,536.23,0.097,✔️,0.0,False,GPU
-32,🧠🔁,Neural Network,[ModernNCA (default)](https://arxiv.org/abs/2407.03257),1191.0,+109/-101,0.151,29.05,10.46,18.493,13.39,0.329,✔️,0.0,False,GPU
-33,🧠🔁,Neural Network,[FastaiMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1180.0,+101/-105,0.164,29.69,20.06,18.662,650.63,5.616,✔️,0.0,False,CPU
-34,🧠🔁,Neural Network,[TorchMLP (tuned)](https://arxiv.org/abs/2003.06505),1174.0,+98/-90,0.163,30.05,22.76,17.319,2535.0,0.112,✔️,0.0,False,CPU
-35,🌳,Tree-based,[ExtraTrees (tuned + ensembled)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1139.0,+86/-92,0.105,32.17,25.15,20.126,206.04,0.946,✔️,0.0,False,CPU
-36,🧠🔁,Neural Network,[FastaiMLP (tuned)](https://arxiv.org/abs/2003.06505),1135.0,+106/-144,0.143,32.43,17.94,19.888,650.63,0.442,✔️,0.0,False,CPU
-37,🌳,Tree-based,[XGBoost (default)](https://arxiv.org/abs/1603.02754),1128.0,+82/-80,0.094,32.86,26.57,19.028,1.98,0.122,✔️,0.0,False,CPU
-38,🌳,Tree-based,[ExtraTrees (tuned)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1119.0,+109/-111,0.122,33.38,17.03,20.888,206.04,0.098,✔️,0.0,False,CPU
-39,🌳,Tree-based,[LightGBM (default)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1102.0,+77/-86,0.086,34.36,29.24,19.426,2.47,0.168,✔️,0.0,False,CPU
-40,🌳,Tree-based,[RandomForest (tuned + ensembled)](https://link.springer.com/article/10.1023/A:1010933404324),1099.0,+91/-99,0.079,34.52,26.71,21.6,494.48,0.936,✔️,0.0,False,CPU
-41,🌳,Tree-based,[RandomForest (tuned)](https://link.springer.com/article/10.1023/A:1010933404324),1064.0,+84/-98,0.029,36.45,31.45,22.348,494.48,0.093,✔️,0.0,False,CPU
-42,🧠⚡,Foundation Model,[TabFlex (default)](https://arxiv.org/abs/2506.05584),1052.0,+112/-152,0.104,37.1,26.73,23.728,1.29,0.149,➖,0.0,False,GPU
-43,🧠🔁,Neural Network,[TorchMLP (default)](https://arxiv.org/abs/2003.06505),1011.0,+84/-129,0.048,39.24,32.92,23.67,7.76,0.147,✔️,0.0,False,CPU
-44,🌳,Tree-based,[RandomForest (default)](https://link.springer.com/article/10.1023/A:1010933404324),1000.0,+104/-146,0.034,39.79,27.41,25.154,0.39,0.041,✔️,0.0,False,CPU
-45,🧠🔁,Neural Network,[FastaiMLP (default)](https://arxiv.org/abs/2003.06505),979.0,+79/-121,0.04,40.81,37.02,23.027,3.48,0.427,✔️,0.0,False,CPU
-46,🌳,Tree-based,[ExtraTrees (default)](https://link.springer.com/article/10.1007/s10994-006-6226-1),948.0,+116/-142,0.024,42.19,37.16,26.643,0.33,0.044,✔️,0.0,False,CPU
-47,📏,Baseline,[KNN (tuned + ensembled)](https://scikit-learn.org/stable/modules/neighbors.html),948.0,+67/-110,0.001,42.19,40.62,26.094,89.61,1.627,✔️,0.0,False,CPU
-48,❓,Other,[xRFM (default)](https://arxiv.org/abs/2508.10053),947.0,+96/-129,0.049,42.24,37.7,25.487,2.66,0.702,✔️,0.0,False,GPU
-49,📏,Baseline,[Linear (tuned + ensembled)](https://scikit-learn.org/stable/modules/linear_model.html),930.0,+108/-154,0.048,42.98,14.45,29.287,280.42,0.382,✔️,0.0,False,CPU
-50,📏,Baseline,[Linear (default)](https://scikit-learn.org/stable/modules/linear_model.html),904.0,+116/-161,0.024,44.0,38.98,31.672,1.48,0.127,✔️,0.0,False,CPU
-51,📏,Baseline,[Linear (tuned)](https://scikit-learn.org/stable/modules/linear_model.html),900.0,+113/-155,0.041,44.19,22.36,29.916,280.42,0.072,✔️,0.0,False,CPU
-52,📏,Baseline,[KNN (tuned)](https://scikit-learn.org/stable/modules/neighbors.html),801.0,+87/-136,0.0,47.52,46.65,31.665,89.61,0.08,✔️,0.0,False,CPU
-53,📏,Baseline,[KNN (default)](https://scikit-learn.org/stable/modules/neighbors.html),614.0,+107/-180,0.0,51.52,51.08,42.96,0.24,0.02,✔️,0.0,False,CPU
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deleted file mode 100644
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diff --git a/data/imputation_no/splits_lite/tasks_binary/datasets_tabpfn/website_leaderboard.csv b/data/imputation_no/splits_lite/tasks_binary/datasets_tabpfn/website_leaderboard.csv
deleted file mode 100644
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-#,Type,TypeName,Model,Elo [⬆️],Elo 95% CI,Score [⬆️],Rank [⬇️],Harmonic Rank [⬇️],Improvability (%) [⬇️],Median Train Time (s/1K) [⬇️],Median Predict Time (s/1K) [⬇️],Verified,Imputed (%) [⬇️],Imputed,Hardware
-0,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (default)](https://arxiv.org/abs/2511.08667),1641.0,+95/-63,0.637,7.95,5.4,6.865,5.25,0.517,✔️,0.0,False,GPU
-1,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned + ensembled)](https://arxiv.org/abs/2511.08667),1565.0,+152/-97,0.586,10.85,4.02,5.801,2092.56,8.655,✔️,0.0,False,GPU
-2,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned)](https://arxiv.org/abs/2511.08667),1554.0,+136/-99,0.574,11.32,4.49,6.297,2092.56,0.867,✔️,0.0,False,GPU
-3,📊,Reference Pipeline,"[AutoGluon 1.4 (extreme, 4h)](https://arxiv.org/abs/2003.06505)",1491.0,+127/-79,0.504,14.4,5.38,8.203,598.6,8.421,✔️,0.0,False,GPU
-4,🧠🔁,Neural Network,[RealMLP (tuned + ensembled)](https://arxiv.org/abs/2407.04491),1490.0,+91/-80,0.441,14.45,8.46,10.934,2773.9,21.391,✔️,0.0,False,GPU
-5,🧠⚡,Foundation Model,[TabPFNv2 (tuned + ensembled)](https://www.nature.com/articles/s41586-024-08328-6),1473.0,+126/-90,0.457,15.32,7.25,10.58,3361.32,65.579,✔️,0.0,False,GPU
-6,📊,Reference Pipeline,"[AutoGluon 1.4 (best, 4h)](https://arxiv.org/abs/2003.06505)",1468.0,+84/-74,0.412,15.6,11.04,10.37,1881.65,1.26,✔️,0.0,False,CPU
-7,🧠🔁,Neural Network,[Mitra (default)](https://arxiv.org/abs/2510.21204),1442.0,+115/-71,0.408,17.08,6.7,10.913,145.75,4.071,✔️,0.0,False,GPU
-8,🧠🔁,Neural Network,[LimiX (default)](https://arxiv.org/abs/2509.03505),1426.0,+122/-82,0.419,18.02,5.83,10.972,4.09,0.544,➖,0.0,False,GPU
-9,🧠🔁,Neural Network,[RealMLP (tuned)](https://arxiv.org/abs/2407.04491),1418.0,+117/-96,0.369,18.52,7.84,12.618,2773.9,0.534,✔️,0.0,False,GPU
-10,🧠⚡,Foundation Model,[TabICL (default)](https://arxiv.org/abs/2502.05564),1401.0,+117/-74,0.368,19.52,6.04,10.185,8.05,1.864,✔️,0.0,False,GPU
-11,🧠⚡,Foundation Model,[BetaTabPFN (default)](https://arxiv.org/abs/2502.02527),1400.0,+114/-90,0.331,19.6,11.77,14.276,292.15,1.882,➖,0.0,False,GPU
-12,🧠⚡,Foundation Model,[TabDPT (tuned + ensembled)](https://arxiv.org/abs/2410.18164),1399.0,+133/-83,0.382,19.7,6.07,9.42,6408.95,397.026,✔️,0.0,False,GPU
-13,🧠🔁,Neural Network,[TabM (tuned + ensembled)](https://arxiv.org/abs/2410.24210),1387.0,+115/-87,0.349,20.4,9.02,12.618,2217.3,1.258,✔️,0.0,False,GPU
-14,🧠⚡,Foundation Model,[TabPFNv2 (tuned)](https://www.nature.com/articles/s41586-024-08328-6),1383.0,+125/-87,0.33,20.65,10.22,13.232,3361.32,0.527,✔️,0.0,False,GPU
-15,🧠⚡,Foundation Model,[TabDPT (tuned)](https://arxiv.org/abs/2410.18164),1367.0,+128/-92,0.346,21.7,7.55,10.945,6408.95,39.606,✔️,0.0,False,GPU
-16,🧠🔁,Neural Network,[ModernNCA (tuned)](https://arxiv.org/abs/2407.03257),1333.0,+107/-76,0.294,23.92,9.58,13.112,4442.23,0.405,✔️,0.0,False,GPU
-17,🌳,Tree-based,[LightGBM (tuned + ensembled)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1332.0,+58/-49,0.188,23.98,20.28,15.024,457.0,1.064,✔️,0.0,False,CPU
-18,🌳,Tree-based,[EBM (tuned + ensembled)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1320.0,+82/-77,0.204,24.8,13.85,15.346,1618.79,0.502,✔️,0.0,False,CPU
-19,🌳,Tree-based,[CatBoost (default)](https://arxiv.org/abs/1706.09516),1314.0,+76/-59,0.186,25.18,17.84,15.224,4.49,0.115,✔️,0.0,False,CPU
-20,🧠🔁,Neural Network,[TabM (tuned)](https://arxiv.org/abs/2410.24210),1313.0,+110/-88,0.27,25.22,14.83,13.982,2217.3,0.137,✔️,0.0,False,GPU
-21,🧠🔁,Neural Network,[RealMLP (default)](https://arxiv.org/abs/2407.04491),1312.0,+79/-70,0.192,25.3,14.64,14.446,10.77,2.16,✔️,0.0,False,GPU
-22,🧠⚡,Foundation Model,[TabPFNv2 (default)](https://www.nature.com/articles/s41586-024-08328-6),1311.0,+103/-98,0.294,25.4,7.62,15.25,3.89,0.544,✔️,0.0,False,GPU
-23,🌳,Tree-based,[XGBoost (tuned + ensembled)](https://arxiv.org/abs/1603.02754),1286.0,+83/-74,0.18,27.08,19.76,16.445,673.88,0.681,✔️,0.0,False,CPU
-24,🌳,Tree-based,[CatBoost (tuned + ensembled)](https://arxiv.org/abs/1706.09516),1285.0,+84/-79,0.16,27.12,18.82,15.452,1103.74,0.549,✔️,0.0,False,CPU
-25,❓,Other,[xRFM (tuned + ensembled)](https://arxiv.org/abs/2508.10053),1280.0,+87/-92,0.185,27.5,18.49,15.662,516.54,1.513,✔️,0.0,False,GPU
-26,🌳,Tree-based,[EBM (default)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1276.0,+80/-90,0.169,27.75,10.75,16.268,6.77,0.046,✔️,0.0,False,CPU
-27,🧠🔁,Neural Network,[ModernNCA (tuned + ensembled)](https://arxiv.org/abs/2407.03257),1276.0,+99/-108,0.246,27.78,16.56,15.707,4442.23,8.478,✔️,0.0,False,GPU
-28,🌳,Tree-based,[EBM (tuned)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1274.0,+84/-80,0.152,27.85,11.27,15.789,1618.79,0.055,✔️,0.0,False,CPU
-29,🧠🔁,Neural Network,[TabM (default)](https://arxiv.org/abs/2410.24210),1271.0,+120/-110,0.231,28.05,17.24,16.267,10.18,0.149,✔️,0.0,False,GPU
-30,🧠⚡,Foundation Model,[SAP-RPT-OSS (default)](https://arxiv.org/abs/2506.10707),1268.0,+108/-108,0.22,28.28,11.75,17.243,8.92,1.501,➖,0.0,False,GPU
-31,🧠⚡,Foundation Model,[TabDPT (default)](https://arxiv.org/abs/2410.18164),1266.0,+137/-121,0.249,28.4,8.7,13.464,51.78,39.866,✔️,0.0,False,GPU
-32,🌳,Tree-based,[LightGBM (tuned)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1263.0,+76/-64,0.148,28.6,24.65,16.249,457.0,0.111,✔️,0.0,False,CPU
-33,🌳,Tree-based,[XGBoost (tuned)](https://arxiv.org/abs/1603.02754),1262.0,+74/-66,0.153,28.7,11.39,16.819,673.88,0.177,✔️,0.0,False,CPU
-34,🧠🔁,Neural Network,[TorchMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1253.0,+97/-86,0.185,29.3,20.73,15.396,2533.55,2.301,✔️,0.0,False,CPU
-35,🌳,Tree-based,[CatBoost (tuned)](https://arxiv.org/abs/1706.09516),1252.0,+87/-53,0.131,29.35,24.38,16.217,1103.74,0.05,✔️,0.0,False,CPU
-36,❓,Other,[xRFM (tuned)](https://arxiv.org/abs/2508.10053),1226.0,+80/-86,0.12,31.12,22.18,16.637,516.54,0.086,✔️,0.0,False,GPU
-37,🧠🔁,Neural Network,[ModernNCA (default)](https://arxiv.org/abs/2407.03257),1212.0,+83/-118,0.139,32.08,10.53,18.467,11.78,0.312,✔️,0.0,False,GPU
-38,🧠🔁,Neural Network,[FastaiMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1201.0,+96/-120,0.154,32.78,21.33,18.721,622.79,5.389,✔️,0.0,False,CPU
-39,🧠🔁,Neural Network,[TorchMLP (tuned)](https://arxiv.org/abs/2003.06505),1194.0,+98/-95,0.155,33.25,25.0,17.128,2533.55,0.11,✔️,0.0,False,CPU
-40,🧠🔁,Neural Network,[FastaiMLP (tuned)](https://arxiv.org/abs/2003.06505),1156.0,+98/-137,0.129,35.75,20.42,19.935,622.79,0.398,✔️,0.0,False,CPU
-41,🌳,Tree-based,[ExtraTrees (tuned + ensembled)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1141.0,+95/-85,0.075,36.67,28.64,20.989,204.47,0.853,✔️,0.0,False,CPU
-42,🌳,Tree-based,[ExtraTrees (tuned)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1123.0,+117/-109,0.108,37.85,18.44,21.645,204.47,0.091,✔️,0.0,False,CPU
-43,🌳,Tree-based,[XGBoost (default)](https://arxiv.org/abs/1603.02754),1117.0,+81/-93,0.043,38.2,34.13,20.016,1.88,0.121,✔️,0.0,False,CPU
-44,🌳,Tree-based,[RandomForest (tuned + ensembled)](https://link.springer.com/article/10.1023/A:1010933404324),1094.0,+95/-124,0.057,39.6,31.09,22.532,448.77,0.841,✔️,0.0,False,CPU
-45,🌳,Tree-based,[LightGBM (default)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1091.0,+80/-102,0.045,39.78,35.69,20.402,2.39,0.159,✔️,0.0,False,CPU
-46,🧠⚡,Foundation Model,[TabFlex (default)](https://arxiv.org/abs/2506.05584),1076.0,+103/-158,0.088,40.65,29.49,23.197,1.17,0.148,➖,0.0,False,GPU
-47,🌳,Tree-based,[RandomForest (tuned)](https://link.springer.com/article/10.1023/A:1010933404324),1066.0,+92/-107,0.03,41.25,35.88,23.044,448.77,0.092,✔️,0.0,False,CPU
-48,🧠🔁,Neural Network,[TorchMLP (default)](https://arxiv.org/abs/2003.06505),1033.0,+109/-126,0.046,43.1,35.38,23.554,7.36,0.138,✔️,0.0,False,CPU
-49,🌳,Tree-based,[RandomForest (default)](https://link.springer.com/article/10.1023/A:1010933404324),1000.0,+99/-165,0.036,44.8,31.69,26.004,0.37,0.04,✔️,0.0,False,CPU
-50,🧠🔁,Neural Network,[FastaiMLP (default)](https://arxiv.org/abs/2003.06505),997.0,+107/-123,0.031,44.95,40.57,22.94,3.3,0.395,✔️,0.0,False,CPU
-51,📏,Baseline,[KNN (tuned + ensembled)](https://scikit-learn.org/stable/modules/neighbors.html),965.0,+65/-115,0.001,46.5,44.83,26.281,89.46,1.579,✔️,0.0,False,CPU
-52,❓,Other,[xRFM (default)](https://arxiv.org/abs/2508.10053),953.0,+119/-157,0.042,47.05,41.88,26.17,2.66,0.553,✔️,0.0,False,GPU
-53,🌳,Tree-based,[ExtraTrees (default)](https://link.springer.com/article/10.1007/s10994-006-6226-1),948.0,+120/-158,0.025,47.25,41.74,27.548,0.29,0.041,✔️,0.0,False,CPU
-54,📏,Baseline,[Linear (tuned + ensembled)](https://scikit-learn.org/stable/modules/linear_model.html),948.0,+116/-129,0.05,47.28,14.4,29.0,276.0,0.368,✔️,0.0,False,CPU
-55,📏,Baseline,[Linear (default)](https://scikit-learn.org/stable/modules/linear_model.html),928.0,+104/-142,0.02,48.15,42.62,31.115,1.45,0.123,✔️,0.0,False,CPU
-56,📏,Baseline,[Linear (tuned)](https://scikit-learn.org/stable/modules/linear_model.html),921.0,+122/-141,0.042,48.45,22.77,29.565,276.0,0.065,✔️,0.0,False,CPU
-57,📏,Baseline,[KNN (tuned)](https://scikit-learn.org/stable/modules/neighbors.html),811.0,+79/-142,0.0,52.35,51.45,31.853,89.46,0.075,✔️,0.0,False,CPU
-58,📏,Baseline,[KNN (default)](https://scikit-learn.org/stable/modules/neighbors.html),622.0,+109/-264,0.0,56.5,56.09,43.289,0.22,0.02,✔️,0.0,False,CPU
diff --git a/data/imputation_no/splits_lite/tasks_binary/datasets_tabpfn/winrate_matrix.png.zip b/data/imputation_no/splits_lite/tasks_binary/datasets_tabpfn/winrate_matrix.png.zip
deleted file mode 100644
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--- a/data/imputation_no/splits_lite/tasks_binary/datasets_tabpfn/winrate_matrix.png.zip
+++ /dev/null
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deleted file mode 100644
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diff --git a/data/imputation_no/splits_lite/tasks_classification/datasets_all/pareto_front_improvability_vs_time_infer.png.zip b/data/imputation_no/splits_lite/tasks_classification/datasets_all/pareto_front_improvability_vs_time_infer.png.zip
deleted file mode 100644
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deleted file mode 100644
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diff --git a/data/imputation_no/splits_lite/tasks_classification/datasets_all/website_leaderboard.csv b/data/imputation_no/splits_lite/tasks_classification/datasets_all/website_leaderboard.csv
deleted file mode 100644
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+++ /dev/null
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-#,Type,TypeName,Model,Elo [⬆️],Elo 95% CI,Score [⬆️],Rank [⬇️],Harmonic Rank [⬇️],Improvability (%) [⬇️],Median Train Time (s/1K) [⬇️],Median Predict Time (s/1K) [⬇️],Verified,Imputed (%) [⬇️],Imputed,Hardware
-0,📊,Reference Pipeline,"[AutoGluon 1.4 (extreme, 4h)](https://arxiv.org/abs/2003.06505)",1602.0,+92/-79,0.666,8.75,3.64,6.92,521.51,7.239,✔️,0.0,False,GPU
-1,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned + ensembled)](https://arxiv.org/abs/2511.08667),1598.0,+110/-93,0.646,8.89,2.7,4.568,2063.62,9.938,✔️,0.0,False,GPU
-2,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned)](https://arxiv.org/abs/2511.08667),1566.0,+100/-81,0.594,10.07,4.22,7.088,2063.62,1.087,✔️,0.0,False,GPU
-3,📊,Reference Pipeline,"[AutoGluon 1.4 (best, 4h)](https://arxiv.org/abs/2003.06505)",1551.0,+98/-64,0.575,10.68,4.4,8.572,1815.7,1.456,✔️,0.0,False,CPU
-4,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (default)](https://arxiv.org/abs/2511.08667),1548.0,+91/-73,0.571,10.78,4.69,7.444,5.62,0.771,✔️,0.0,False,GPU
-5,🧠🔁,Neural Network,[RealMLP (tuned + ensembled)](https://arxiv.org/abs/2407.04491),1505.0,+67/-56,0.485,12.63,7.05,10.247,2773.9,16.363,✔️,0.0,False,GPU
-6,🧠🔁,Neural Network,[RealMLP (tuned)](https://arxiv.org/abs/2407.04491),1434.0,+57/-54,0.406,16.14,7.86,11.898,2773.9,0.39,✔️,0.0,False,GPU
-7,🧠🔁,Neural Network,[TabM (tuned + ensembled)](https://arxiv.org/abs/2410.24210),1426.0,+79/-62,0.392,16.55,7.59,12.375,2461.81,1.283,✔️,0.0,False,GPU
-8,🌳,Tree-based,[LightGBM (tuned + ensembled)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1411.0,+62/-48,0.315,17.38,12.76,13.13,391.23,1.243,✔️,0.0,False,CPU
-9,🌳,Tree-based,[CatBoost (tuned + ensembled)](https://arxiv.org/abs/1706.09516),1386.0,+72/-53,0.333,18.76,11.98,12.648,1326.58,0.531,✔️,0.0,False,CPU
-10,🧠⚡,Foundation Model,[TabDPT (tuned + ensembled)](https://arxiv.org/abs/2410.18164),1384.0,+98/-64,0.354,18.84,7.31,11.376,6067.13,404.225,✔️,0.0,False,GPU
-11,🌳,Tree-based,[XGBoost (tuned + ensembled)](https://arxiv.org/abs/1603.02754),1378.0,+74/-69,0.3,19.17,11.86,13.724,682.62,0.971,✔️,0.0,False,CPU
-12,🧠🔁,Neural Network,[ModernNCA (tuned)](https://arxiv.org/abs/2407.03257),1366.0,+72/-78,0.313,19.84,9.84,13.153,4853.07,0.473,✔️,0.0,False,GPU
-13,🧠🔁,Neural Network,[TabM (tuned)](https://arxiv.org/abs/2410.24210),1364.0,+90/-64,0.324,19.96,10.99,13.345,2461.81,0.138,✔️,0.0,False,GPU
-14,🌳,Tree-based,[CatBoost (tuned)](https://arxiv.org/abs/1706.09516),1364.0,+70/-58,0.298,19.97,13.66,13.182,1326.58,0.051,✔️,0.0,False,CPU
-15,🌳,Tree-based,[CatBoost (default)](https://arxiv.org/abs/1706.09516),1364.0,+51/-54,0.276,20.0,11.07,13.292,5.74,0.107,✔️,0.0,False,CPU
-16,🧠🔁,Neural Network,[ModernNCA (tuned + ensembled)](https://arxiv.org/abs/2407.03257),1359.0,+98/-90,0.343,20.26,8.66,13.197,4853.07,9.386,✔️,0.0,False,GPU
-17,🌳,Tree-based,[LightGBM (tuned)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1350.0,+66/-54,0.256,20.79,15.43,14.078,391.23,0.186,✔️,0.0,False,CPU
-18,🌳,Tree-based,[XGBoost (tuned)](https://arxiv.org/abs/1603.02754),1346.0,+73/-66,0.266,21.0,11.11,13.977,682.62,0.183,✔️,0.0,False,CPU
-19,🧠⚡,Foundation Model,[TabDPT (tuned)](https://arxiv.org/abs/2410.18164),1331.0,+77/-75,0.303,21.86,7.16,13.412,6067.13,39.565,✔️,0.0,False,GPU
-20,🧠⚡,Foundation Model,[BetaTabPFN (default)](https://arxiv.org/abs/2502.02527),1328.0,+70/-61,0.257,22.05,12.75,15.749,250.94,2.036,➖,0.0,False,GPU
-21,🌳,Tree-based,[EBM (tuned + ensembled)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1322.0,+65/-55,0.217,22.39,13.73,15.518,2399.23,0.558,✔️,0.0,False,CPU
-22,❓,Other,[xRFM (tuned + ensembled)](https://arxiv.org/abs/2508.10053),1322.0,+69/-61,0.256,22.39,12.17,14.456,1053.72,2.067,✔️,0.0,False,GPU
-23,🧠🔁,Neural Network,[TabM (default)](https://arxiv.org/abs/2410.24210),1297.0,+78/-62,0.245,23.87,15.15,16.006,10.31,0.136,✔️,0.0,False,GPU
-24,🧠🔁,Neural Network,[TorchMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1275.0,+47/-52,0.173,25.18,18.62,15.271,2480.32,2.175,✔️,0.0,False,CPU
-25,🧠🔁,Neural Network,[RealMLP (default)](https://arxiv.org/abs/2407.04491),1273.0,+64/-49,0.166,25.32,17.2,15.874,10.77,1.787,✔️,0.0,False,GPU
-26,❓,Other,[xRFM (tuned)](https://arxiv.org/abs/2508.10053),1272.0,+74/-57,0.189,25.36,12.24,16.105,1053.72,0.105,✔️,0.0,False,GPU
-27,🌳,Tree-based,[EBM (tuned)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1259.0,+62/-52,0.156,26.11,14.21,16.447,2399.23,0.056,✔️,0.0,False,CPU
-28,🧠⚡,Foundation Model,[SAP-RPT-OSS (default)](https://arxiv.org/abs/2506.10707),1255.0,+69/-95,0.238,26.37,9.86,17.392,13.62,1.985,➖,0.0,False,GPU
-29,🌳,Tree-based,[EBM (default)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1254.0,+62/-52,0.159,26.39,13.96,17.343,6.77,0.052,✔️,0.0,False,CPU
-30,🧠⚡,Foundation Model,[TabDPT (default)](https://arxiv.org/abs/2410.18164),1219.0,+81/-75,0.194,28.49,10.7,16.625,47.89,39.446,✔️,0.0,False,GPU
-31,🧠🔁,Neural Network,[FastaiMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1216.0,+71/-90,0.156,28.64,19.66,18.487,622.79,5.037,✔️,0.0,False,CPU
-32,🌳,Tree-based,[XGBoost (default)](https://arxiv.org/abs/1603.02754),1203.0,+70/-69,0.13,29.39,15.26,17.081,1.88,0.121,✔️,0.0,False,CPU
-33,🧠🔁,Neural Network,[TorchMLP (tuned)](https://arxiv.org/abs/2003.06505),1203.0,+67/-61,0.135,29.39,22.56,17.563,2480.32,0.117,✔️,0.0,False,CPU
-34,🌳,Tree-based,[ExtraTrees (tuned + ensembled)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1196.0,+66/-59,0.118,29.84,21.12,18.704,197.16,0.721,✔️,0.0,False,CPU
-35,🌳,Tree-based,[RandomForest (tuned + ensembled)](https://link.springer.com/article/10.1023/A:1010933404324),1171.0,+65/-75,0.106,31.24,22.0,19.637,327.31,0.708,✔️,0.0,False,CPU
-36,🧠🔁,Neural Network,[ModernNCA (default)](https://arxiv.org/abs/2407.03257),1171.0,+64/-66,0.093,31.24,14.95,19.151,13.35,0.353,✔️,0.0,False,GPU
-37,🌳,Tree-based,[ExtraTrees (tuned)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1158.0,+65/-78,0.119,31.99,17.81,20.005,197.16,0.083,✔️,0.0,False,CPU
-38,🌳,Tree-based,[LightGBM (default)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1149.0,+60/-61,0.09,32.49,27.5,18.389,2.25,0.159,✔️,0.0,False,CPU
-39,🧠🔁,Neural Network,[FastaiMLP (tuned)](https://arxiv.org/abs/2003.06505),1129.0,+71/-81,0.104,33.61,19.97,20.501,622.79,0.346,✔️,0.0,False,CPU
-40,🌳,Tree-based,[RandomForest (tuned)](https://link.springer.com/article/10.1023/A:1010933404324),1129.0,+56/-60,0.055,33.62,26.88,20.473,327.31,0.085,✔️,0.0,False,CPU
-41,🧠🔁,Neural Network,[TorchMLP (default)](https://arxiv.org/abs/2003.06505),1028.0,+63/-78,0.03,38.76,34.54,23.204,5.73,0.148,✔️,0.0,False,CPU
-42,🌳,Tree-based,[RandomForest (default)](https://link.springer.com/article/10.1023/A:1010933404324),1000.0,+70/-82,0.019,40.04,31.51,26.555,0.37,0.038,✔️,0.0,False,CPU
-43,📏,Baseline,[KNN (tuned + ensembled)](https://scikit-learn.org/stable/modules/neighbors.html),990.0,+77/-106,0.033,40.5,35.08,27.319,140.66,2.876,✔️,0.0,False,CPU
-44,🧠🔁,Neural Network,[FastaiMLP (default)](https://arxiv.org/abs/2003.06505),985.0,+69/-67,0.035,40.71,36.86,24.408,3.12,0.334,✔️,0.0,False,CPU
-45,❓,Other,[xRFM (default)](https://arxiv.org/abs/2508.10053),972.0,+89/-94,0.049,41.24,35.54,27.341,3.48,0.677,✔️,0.0,False,GPU
-46,🧠⚡,Foundation Model,[TabFlex (default)](https://arxiv.org/abs/2506.05584),970.0,+86/-137,0.058,41.32,32.45,29.537,1.04,0.192,➖,0.0,False,GPU
-47,📏,Baseline,[Linear (tuned + ensembled)](https://scikit-learn.org/stable/modules/linear_model.html),963.0,+88/-99,0.03,41.62,19.92,30.785,256.15,0.36,✔️,0.0,False,CPU
-48,📏,Baseline,[Linear (tuned)](https://scikit-learn.org/stable/modules/linear_model.html),931.0,+92/-103,0.023,42.87,27.74,31.508,256.15,0.07,✔️,0.0,False,CPU
-49,🌳,Tree-based,[ExtraTrees (default)](https://link.springer.com/article/10.1007/s10994-006-6226-1),926.0,+81/-105,0.016,43.05,39.04,29.08,0.24,0.037,✔️,0.0,False,CPU
-50,📏,Baseline,[Linear (default)](https://scikit-learn.org/stable/modules/linear_model.html),871.0,+92/-114,0.014,44.97,41.66,34.116,1.32,0.117,✔️,0.0,False,CPU
-51,📏,Baseline,[KNN (tuned)](https://scikit-learn.org/stable/modules/neighbors.html),809.0,+91/-122,0.013,46.79,44.48,34.82,140.66,0.188,✔️,0.0,False,CPU
-52,📏,Baseline,[KNN (default)](https://scikit-learn.org/stable/modules/neighbors.html),550.0,+115/-146,0.0,51.42,51.13,49.457,0.18,0.028,✔️,0.0,False,CPU
diff --git a/data/imputation_no/splits_lite/tasks_classification/datasets_all/winrate_matrix.png.zip b/data/imputation_no/splits_lite/tasks_classification/datasets_all/winrate_matrix.png.zip
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deleted file mode 100644
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-#,Type,TypeName,Model,Elo [⬆️],Elo 95% CI,Score [⬆️],Rank [⬇️],Harmonic Rank [⬇️],Improvability (%) [⬇️],Median Train Time (s/1K) [⬇️],Median Predict Time (s/1K) [⬇️],Verified,Imputed (%) [⬇️],Imputed,Hardware
-0,📊,Reference Pipeline,"[AutoGluon 1.4 (best, 4h)](https://arxiv.org/abs/2003.06505)",2045.0,+165/-77,0.875,3.2,2.12,1.556,307.34,2.186,✔️,0.0,False,CPU
-1,📊,Reference Pipeline,"[AutoGluon 1.4 (extreme, 4h)](https://arxiv.org/abs/2003.06505)",1979.0,+218/-61,0.847,4.1,2.28,2.107,266.49,2.963,✔️,0.0,False,GPU
-2,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned + ensembled)](https://arxiv.org/abs/2511.08667),1723.0,+272/-143,0.577,10.4,3.13,5.287,780.95,11.64,✔️,0.0,False,GPU
-3,🧠🔁,Neural Network,[ModernNCA (tuned + ensembled)](https://arxiv.org/abs/2407.03257),1698.0,+245/-166,0.605,11.3,4.14,5.346,2335.82,14.145,✔️,0.0,False,GPU
-4,🌳,Tree-based,[XGBoost (tuned + ensembled)](https://arxiv.org/abs/1603.02754),1677.0,+166/-109,0.471,12.1,8.59,7.754,202.53,0.43,✔️,0.0,False,CPU
-5,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned)](https://arxiv.org/abs/2511.08667),1664.0,+249/-126,0.497,12.6,6.98,7.388,780.95,1.493,✔️,0.0,False,GPU
-6,🌳,Tree-based,[CatBoost (tuned + ensembled)](https://arxiv.org/abs/1706.09516),1662.0,+174/-96,0.525,12.7,7.86,7.039,688.25,0.192,✔️,0.0,False,CPU
-7,🌳,Tree-based,[LightGBM (tuned + ensembled)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1647.0,+193/-84,0.451,13.3,9.56,8.663,91.02,0.568,✔️,0.0,False,CPU
-8,🌳,Tree-based,[CatBoost (tuned)](https://arxiv.org/abs/1706.09516),1641.0,+170/-85,0.499,13.55,8.8,7.113,688.25,0.036,✔️,0.0,False,CPU
-9,🧠🔁,Neural Network,[RealMLP (tuned + ensembled)](https://arxiv.org/abs/2407.04491),1635.0,+132/-90,0.471,13.8,9.46,7.465,1635.73,2.146,✔️,0.0,False,GPU
-10,🌳,Tree-based,[CatBoost (default)](https://arxiv.org/abs/1706.09516),1605.0,+134/-69,0.464,15.05,5.96,7.228,2.2,0.044,✔️,0.0,False,CPU
-11,🧠🔁,Neural Network,[TabM (tuned + ensembled)](https://arxiv.org/abs/2410.24210),1604.0,+184/-105,0.432,15.1,5.57,8.84,1400.65,0.571,✔️,0.0,False,GPU
-12,🧠🔁,Neural Network,[ModernNCA (tuned)](https://arxiv.org/abs/2407.03257),1600.0,+177/-121,0.424,15.3,10.55,9.77,2335.82,0.502,✔️,0.0,False,GPU
-13,🌳,Tree-based,[XGBoost (tuned)](https://arxiv.org/abs/1603.02754),1588.0,+182/-106,0.415,15.8,11.1,8.072,202.53,0.055,✔️,0.0,False,CPU
-14,🌳,Tree-based,[LightGBM (tuned)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1571.0,+186/-115,0.359,16.6,12.55,9.516,91.02,0.074,✔️,0.0,False,CPU
-15,🧠🔁,Neural Network,[RealMLP (tuned)](https://arxiv.org/abs/2407.04491),1540.0,+159/-113,0.359,18.0,10.06,9.875,1635.73,0.082,✔️,0.0,False,GPU
-16,🧠🔁,Neural Network,[TabM (tuned)](https://arxiv.org/abs/2410.24210),1524.0,+213/-169,0.358,18.8,8.98,9.432,1400.65,0.065,✔️,0.0,False,GPU
-17,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (default)](https://arxiv.org/abs/2511.08667),1515.0,+192/-129,0.34,19.2,9.5,8.469,2.3,0.818,✔️,0.0,False,GPU
-18,🧠⚡,Foundation Model,[TabICL (default)](https://arxiv.org/abs/2502.05564),1499.0,+180/-140,0.302,20.0,10.17,10.117,8.46,3.879,✔️,0.0,False,GPU
-19,🌳,Tree-based,[EBM (tuned + ensembled)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1452.0,+202/-128,0.256,22.3,15.56,12.904,899.24,0.221,✔️,0.0,False,CPU
-20,🌳,Tree-based,[XGBoost (default)](https://arxiv.org/abs/1603.02754),1448.0,+235/-158,0.295,22.5,6.94,10.304,0.47,0.047,✔️,0.0,False,CPU
-21,🧠🔁,Neural Network,[TorchMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1423.0,+111/-68,0.162,23.8,19.82,11.014,1128.73,1.573,✔️,0.0,False,CPU
-22,🧠🔁,Neural Network,[TabM (default)](https://arxiv.org/abs/2410.24210),1411.0,+194/-173,0.229,24.4,19.51,12.709,5.79,0.084,✔️,0.0,False,GPU
-23,🧠⚡,Foundation Model,[TabDPT (tuned + ensembled)](https://arxiv.org/abs/2410.18164),1407.0,+147/-136,0.178,24.6,19.12,11.095,4546.1,406.11,✔️,0.0,False,GPU
-24,❓,Other,[xRFM (tuned + ensembled)](https://arxiv.org/abs/2508.10053),1402.0,+160/-148,0.224,24.9,16.25,11.567,713.0,2.317,✔️,0.0,False,GPU
-25,❓,Other,[xRFM (tuned)](https://arxiv.org/abs/2508.10053),1378.0,+165/-136,0.15,26.1,18.42,14.592,713.0,0.155,✔️,0.0,False,GPU
-26,🧠🔁,Neural Network,[RealMLP (default)](https://arxiv.org/abs/2407.04491),1349.0,+98/-103,0.081,27.6,24.79,14.558,6.53,0.294,✔️,0.0,False,GPU
-27,🌳,Tree-based,[EBM (tuned)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1326.0,+172/-127,0.143,28.8,22.44,14.536,899.24,0.015,✔️,0.0,False,CPU
-28,🧠⚡,Foundation Model,[TabDPT (tuned)](https://arxiv.org/abs/2410.18164),1325.0,+166/-164,0.126,28.85,18.61,14.827,4546.1,39.323,✔️,0.0,False,GPU
-29,🌳,Tree-based,[EBM (default)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1318.0,+159/-124,0.114,29.2,26.05,15.96,1.95,0.02,✔️,0.0,False,CPU
-30,🧠🔁,Neural Network,[FastaiMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1316.0,+106/-156,0.1,29.3,23.52,15.425,387.73,2.446,✔️,0.0,False,CPU
-31,🌳,Tree-based,[RandomForest (tuned + ensembled)](https://link.springer.com/article/10.1023/A:1010933404324),1312.0,+132/-101,0.074,29.5,21.96,14.282,52.7,0.202,✔️,0.0,False,CPU
-32,🧠🔁,Neural Network,[TorchMLP (tuned)](https://arxiv.org/abs/2003.06505),1288.0,+119/-104,0.08,30.7,27.37,14.195,1128.73,0.054,✔️,0.0,False,CPU
-33,🧠⚡,Foundation Model,[BetaTabPFN (default)](https://arxiv.org/abs/2502.02527),1284.0,+182/-173,0.119,30.9,20.32,15.553,82.52,0.97,➖,0.0,False,GPU
-34,🌳,Tree-based,[ExtraTrees (tuned + ensembled)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1280.0,+148/-158,0.061,31.1,27.71,13.773,38.59,0.337,✔️,0.0,False,CPU
-35,🌳,Tree-based,[RandomForest (tuned)](https://link.springer.com/article/10.1023/A:1010933404324),1270.0,+129/-102,0.058,31.6,26.44,14.704,52.7,0.017,✔️,0.0,False,CPU
-36,🌳,Tree-based,[LightGBM (default)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1224.0,+109/-131,0.043,33.8,31.62,13.946,0.33,0.05,✔️,0.0,False,CPU
-37,🧠🔁,Neural Network,[ModernNCA (default)](https://arxiv.org/abs/2407.03257),1211.0,+95/-120,0.016,34.4,32.86,14.785,11.03,0.489,✔️,0.0,False,GPU
-38,🧠⚡,Foundation Model,[SAP-RPT-OSS (default)](https://arxiv.org/abs/2506.10707),1203.0,+112/-112,0.025,34.8,31.59,17.779,14.93,13.661,➖,0.0,False,GPU
-39,🧠⚡,Foundation Model,[TabDPT (default)](https://arxiv.org/abs/2410.18164),1186.0,+135/-140,0.024,35.55,31.87,18.812,41.63,39.259,✔️,0.0,False,GPU
-40,🌳,Tree-based,[ExtraTrees (tuned)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1183.0,+151/-172,0.034,35.7,32.42,17.259,38.59,0.028,✔️,0.0,False,CPU
-41,🧠🔁,Neural Network,[FastaiMLP (tuned)](https://arxiv.org/abs/2003.06505),1127.0,+107/-162,0.018,38.1,36.06,18.995,387.73,0.089,✔️,0.0,False,CPU
-42,🧠🔁,Neural Network,[TorchMLP (default)](https://arxiv.org/abs/2003.06505),1100.0,+96/-117,0.011,39.2,37.66,17.804,1.84,0.047,✔️,0.0,False,CPU
-43,📏,Baseline,[Linear (tuned + ensembled)](https://scikit-learn.org/stable/modules/linear_model.html),1044.0,+179/-261,0.015,41.35,37.36,28.29,43.41,0.111,✔️,0.0,False,CPU
-44,📏,Baseline,[KNN (tuned + ensembled)](https://scikit-learn.org/stable/modules/neighbors.html),1026.0,+114/-211,0.017,42.0,39.4,24.539,332.4,33.481,✔️,0.0,False,CPU
-45,🧠🔁,Neural Network,[FastaiMLP (default)](https://arxiv.org/abs/2003.06505),1012.0,+144/-202,0.024,42.5,39.43,22.564,1.63,0.11,✔️,0.0,False,CPU
-46,🌳,Tree-based,[RandomForest (default)](https://link.springer.com/article/10.1023/A:1010933404324),1000.0,+120/-256,0.0,42.9,41.4,22.603,0.11,0.012,✔️,0.0,False,CPU
-47,📏,Baseline,[Linear (tuned)](https://scikit-learn.org/stable/modules/linear_model.html),996.0,+168/-271,0.002,43.05,40.27,29.261,43.41,0.02,✔️,0.0,False,CPU
-48,❓,Other,[xRFM (default)](https://arxiv.org/abs/2508.10053),835.0,+243/-570,0.023,47.6,41.12,33.498,2.96,0.183,✔️,0.0,False,GPU
-49,📏,Baseline,[Linear (default)](https://scikit-learn.org/stable/modules/linear_model.html),826.0,+105/-219,0.0,47.8,47.48,30.86,0.21,0.019,✔️,0.0,False,CPU
-50,🌳,Tree-based,[ExtraTrees (default)](https://link.springer.com/article/10.1007/s10994-006-6226-1),826.0,+97/-243,0.0,47.8,47.49,27.581,0.1,0.02,✔️,0.0,False,CPU
-51,📏,Baseline,[KNN (tuned)](https://scikit-learn.org/stable/modules/neighbors.html),774.0,+67/-182,0.0,48.9,48.61,33.014,332.4,1.631,✔️,0.0,False,CPU
-52,🧠⚡,Foundation Model,[TabFlex (default)](https://arxiv.org/abs/2506.05584),753.0,+125/-257,0.0,49.3,48.83,35.637,0.18,0.032,➖,0.0,False,GPU
-53,📏,Baseline,[KNN (default)](https://scikit-learn.org/stable/modules/neighbors.html),420.0,+113/-402,0.0,53.2,53.17,49.883,0.12,0.094,✔️,0.0,False,CPU
diff --git a/data/imputation_no/splits_lite/tasks_classification/datasets_medium/winrate_matrix.png.zip b/data/imputation_no/splits_lite/tasks_classification/datasets_medium/winrate_matrix.png.zip
deleted file mode 100644
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-#,Type,TypeName,Model,Elo [⬆️],Elo 95% CI,Score [⬆️],Rank [⬇️],Harmonic Rank [⬇️],Improvability (%) [⬇️],Median Train Time (s/1K) [⬇️],Median Predict Time (s/1K) [⬇️],Verified,Imputed (%) [⬇️],Imputed,Hardware
-0,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (default)](https://arxiv.org/abs/2511.08667),1606.0,+106/-81,0.642,8.05,4.04,7.306,6.03,0.703,✔️,0.0,False,GPU
-1,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned + ensembled)](https://arxiv.org/abs/2511.08667),1590.0,+133/-96,0.661,8.61,2.7,4.54,2279.85,9.666,✔️,0.0,False,GPU
-2,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned)](https://arxiv.org/abs/2511.08667),1562.0,+128/-87,0.617,9.62,3.81,7.209,2279.85,0.968,✔️,0.0,False,GPU
-3,📊,Reference Pipeline,"[AutoGluon 1.4 (extreme, 4h)](https://arxiv.org/abs/2003.06505)",1530.0,+111/-88,0.589,10.86,4.75,8.868,635.11,8.569,✔️,0.0,False,GPU
-4,🧠🔁,Neural Network,[RealMLP (tuned + ensembled)](https://arxiv.org/abs/2407.04491),1484.0,+90/-66,0.472,12.89,6.7,11.474,3486.44,22.867,✔️,0.0,False,GPU
-5,📊,Reference Pipeline,"[AutoGluon 1.4 (best, 4h)](https://arxiv.org/abs/2003.06505)",1465.0,+93/-69,0.46,13.82,7.61,11.301,2993.17,1.401,✔️,0.0,False,CPU
-6,🧠🔁,Neural Network,[LimiX (default)](https://arxiv.org/abs/2509.03505),1453.0,+97/-64,0.477,14.38,5.59,10.565,4.53,0.611,➖,0.0,False,GPU
-7,🧠🔁,Neural Network,[RealMLP (tuned)](https://arxiv.org/abs/2407.04491),1418.0,+75/-73,0.404,16.23,7.75,12.856,3486.44,1.002,✔️,0.0,False,GPU
-8,🧠⚡,Foundation Model,[TabDPT (tuned + ensembled)](https://arxiv.org/abs/2410.18164),1392.0,+85/-74,0.411,17.64,6.17,11.685,7432.95,404.225,✔️,0.0,False,GPU
-9,🧠🔁,Neural Network,[TabM (tuned + ensembled)](https://arxiv.org/abs/2410.24210),1388.0,+81/-78,0.365,17.82,8.94,13.865,3083.36,1.48,✔️,0.0,False,GPU
-10,🌳,Tree-based,[LightGBM (tuned + ensembled)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1356.0,+62/-48,0.259,19.7,15.45,14.947,774.51,1.455,✔️,0.0,False,CPU
-11,🧠⚡,Foundation Model,[BetaTabPFN (default)](https://arxiv.org/abs/2502.02527),1354.0,+105/-78,0.301,19.79,11.62,16.037,303.47,2.324,➖,0.0,False,GPU
-12,🧠⚡,Foundation Model,[TabDPT (tuned)](https://arxiv.org/abs/2410.18164),1346.0,+88/-90,0.363,20.25,5.99,13.112,7432.95,39.797,✔️,0.0,False,GPU
-13,🧠🔁,Neural Network,[TabM (tuned)](https://arxiv.org/abs/2410.24210),1330.0,+93/-70,0.3,21.2,12.27,14.97,3083.36,0.189,✔️,0.0,False,GPU
-14,🌳,Tree-based,[CatBoost (tuned + ensembled)](https://arxiv.org/abs/1706.09516),1321.0,+75/-62,0.251,21.75,15.5,14.88,1612.87,0.724,✔️,0.0,False,CPU
-15,🧠🔁,Neural Network,[ModernNCA (tuned)](https://arxiv.org/abs/2407.03257),1312.0,+84/-75,0.267,22.29,10.13,14.576,6286.73,0.473,✔️,0.0,False,GPU
-16,❓,Other,[xRFM (tuned + ensembled)](https://arxiv.org/abs/2508.10053),1310.0,+82/-73,0.26,22.43,12.37,15.706,1165.19,2.067,✔️,0.0,False,GPU
-17,🌳,Tree-based,[XGBoost (tuned + ensembled)](https://arxiv.org/abs/1603.02754),1308.0,+65/-72,0.226,22.55,14.19,16.083,829.32,1.642,✔️,0.0,False,CPU
-18,🌳,Tree-based,[CatBoost (default)](https://arxiv.org/abs/1706.09516),1306.0,+57/-50,0.199,22.66,17.28,15.686,6.97,0.144,✔️,0.0,False,CPU
-19,🌳,Tree-based,[CatBoost (tuned)](https://arxiv.org/abs/1706.09516),1298.0,+68/-46,0.22,23.12,17.49,15.572,1612.87,0.061,✔️,0.0,False,CPU
-20,🌳,Tree-based,[LightGBM (tuned)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1297.0,+68/-64,0.211,23.18,18.31,15.928,774.51,0.282,✔️,0.0,False,CPU
-21,🌳,Tree-based,[EBM (tuned + ensembled)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1294.0,+71/-62,0.193,23.39,14.05,16.677,2989.36,0.609,✔️,0.0,False,CPU
-22,🌳,Tree-based,[XGBoost (tuned)](https://arxiv.org/abs/1603.02754),1288.0,+71/-66,0.205,23.75,11.36,16.308,829.32,0.241,✔️,0.0,False,CPU
-23,🧠🔁,Neural Network,[ModernNCA (tuned + ensembled)](https://arxiv.org/abs/2407.03257),1279.0,+91/-80,0.243,24.29,14.79,16.222,6286.73,9.386,✔️,0.0,False,GPU
-24,🧠⚡,Foundation Model,[SAP-RPT-OSS (default)](https://arxiv.org/abs/2506.10707),1278.0,+92/-87,0.302,24.36,9.44,17.484,13.4,1.64,➖,0.0,False,GPU
-25,🧠🔁,Neural Network,[TabM (default)](https://arxiv.org/abs/2410.24210),1273.0,+81/-83,0.242,24.64,14.37,17.407,11.86,0.149,✔️,0.0,False,GPU
-26,🧠🔁,Neural Network,[RealMLP (default)](https://arxiv.org/abs/2407.04491),1258.0,+70/-66,0.185,25.57,16.1,16.571,14.59,4.035,✔️,0.0,False,GPU
-27,🌳,Tree-based,[EBM (tuned)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1249.0,+62/-68,0.155,26.14,12.82,17.351,2989.36,0.063,✔️,0.0,False,CPU
-28,❓,Other,[xRFM (tuned)](https://arxiv.org/abs/2508.10053),1248.0,+76/-84,0.198,26.23,11.57,16.867,1165.19,0.105,✔️,0.0,False,GPU
-29,🌳,Tree-based,[EBM (default)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1244.0,+80/-64,0.163,26.43,12.45,18.065,8.12,0.053,✔️,0.0,False,CPU
-30,🧠🔁,Neural Network,[TorchMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1240.0,+83/-72,0.174,26.68,18.7,17.009,2894.94,2.42,✔️,0.0,False,CPU
-31,🧠⚡,Foundation Model,[TabDPT (default)](https://arxiv.org/abs/2410.18164),1236.0,+84/-98,0.254,26.96,8.73,16.048,51.78,39.927,✔️,0.0,False,GPU
-32,🧠🔁,Neural Network,[FastaiMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1195.0,+100/-87,0.174,29.45,19.5,19.791,1425.28,7.355,✔️,0.0,False,CPU
-33,🧠🔁,Neural Network,[TorchMLP (tuned)](https://arxiv.org/abs/2003.06505),1186.0,+88/-73,0.156,30.0,21.91,18.976,2894.94,0.145,✔️,0.0,False,CPU
-34,🌳,Tree-based,[ExtraTrees (tuned + ensembled)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1178.0,+79/-80,0.138,30.46,20.12,20.674,402.38,1.373,✔️,0.0,False,CPU
-35,🧠🔁,Neural Network,[ModernNCA (default)](https://arxiv.org/abs/2407.03257),1167.0,+74/-88,0.117,31.18,12.69,20.919,14.22,0.353,✔️,0.0,False,GPU
-36,🌳,Tree-based,[ExtraTrees (tuned)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1157.0,+84/-82,0.147,31.77,15.7,21.194,402.38,0.163,✔️,0.0,False,CPU
-37,🌳,Tree-based,[XGBoost (default)](https://arxiv.org/abs/1603.02754),1137.0,+67/-73,0.071,32.93,27.75,19.723,2.85,0.19,✔️,0.0,False,CPU
-38,🌳,Tree-based,[RandomForest (tuned + ensembled)](https://link.springer.com/article/10.1023/A:1010933404324),1136.0,+76/-96,0.114,33.0,23.35,21.769,562.0,1.155,✔️,0.0,False,CPU
-39,🧠🔁,Neural Network,[FastaiMLP (tuned)](https://arxiv.org/abs/2003.06505),1134.0,+86/-92,0.134,33.11,19.64,21.239,1425.28,0.561,✔️,0.0,False,CPU
-40,🌳,Tree-based,[LightGBM (default)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1132.0,+64/-78,0.103,33.23,27.33,20.192,3.27,0.193,✔️,0.0,False,CPU
-41,🌳,Tree-based,[RandomForest (tuned)](https://link.springer.com/article/10.1023/A:1010933404324),1092.0,+68/-79,0.052,35.52,28.46,22.751,562.0,0.138,✔️,0.0,False,CPU
-42,🧠⚡,Foundation Model,[TabFlex (default)](https://arxiv.org/abs/2506.05584),1011.0,+99/-115,0.078,39.75,30.01,27.565,2.45,0.519,➖,0.0,False,GPU
-43,🧠🔁,Neural Network,[TorchMLP (default)](https://arxiv.org/abs/2003.06505),1009.0,+76/-99,0.036,39.82,34.54,25.349,9.06,0.196,✔️,0.0,False,CPU
-44,❓,Other,[xRFM (default)](https://arxiv.org/abs/2508.10053),1001.0,+90/-126,0.057,40.21,35.1,25.341,5.43,0.836,✔️,0.0,False,GPU
-45,🌳,Tree-based,[RandomForest (default)](https://link.springer.com/article/10.1023/A:1010933404324),1000.0,+82/-113,0.026,40.27,29.74,28.169,0.46,0.07,✔️,0.0,False,CPU
-46,📏,Baseline,[KNN (tuned + ensembled)](https://scikit-learn.org/stable/modules/neighbors.html),980.0,+89/-114,0.038,41.18,34.79,28.52,123.01,1.579,✔️,0.0,False,CPU
-47,🧠🔁,Neural Network,[FastaiMLP (default)](https://arxiv.org/abs/2003.06505),977.0,+86/-98,0.038,41.32,37.36,25.269,5.03,0.601,✔️,0.0,False,CPU
-48,🌳,Tree-based,[ExtraTrees (default)](https://link.springer.com/article/10.1007/s10994-006-6226-1),946.0,+94/-118,0.021,42.68,38.02,29.809,0.38,0.072,✔️,0.0,False,CPU
-49,📏,Baseline,[Linear (tuned + ensembled)](https://scikit-learn.org/stable/modules/linear_model.html),940.0,+89/-109,0.036,42.96,17.28,31.884,479.28,0.495,✔️,0.0,False,CPU
-50,📏,Baseline,[Linear (tuned)](https://scikit-learn.org/stable/modules/linear_model.html),912.0,+90/-119,0.031,44.05,25.37,32.518,479.28,0.098,✔️,0.0,False,CPU
-51,📏,Baseline,[Linear (default)](https://scikit-learn.org/stable/modules/linear_model.html),879.0,+104/-132,0.018,45.29,41.04,35.489,2.34,0.132,✔️,0.0,False,CPU
-52,📏,Baseline,[KNN (tuned)](https://scikit-learn.org/stable/modules/neighbors.html),813.0,+101/-141,0.018,47.39,44.6,35.669,123.01,0.092,✔️,0.0,False,CPU
-53,📏,Baseline,[KNN (default)](https://scikit-learn.org/stable/modules/neighbors.html),570.0,+114/-197,0.0,52.14,51.78,49.495,0.28,0.024,✔️,0.0,False,CPU
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diff --git a/data/imputation_no/splits_lite/tasks_classification/datasets_tabpfn/website_leaderboard.csv b/data/imputation_no/splits_lite/tasks_classification/datasets_tabpfn/website_leaderboard.csv
deleted file mode 100644
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-#,Type,TypeName,Model,Elo [⬆️],Elo 95% CI,Score [⬆️],Rank [⬇️],Harmonic Rank [⬇️],Improvability (%) [⬇️],Median Train Time (s/1K) [⬇️],Median Predict Time (s/1K) [⬇️],Verified,Imputed (%) [⬇️],Imputed,Hardware
-0,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (default)](https://arxiv.org/abs/2511.08667),1643.0,+86/-65,0.635,8.29,5.33,7.839,5.78,0.586,✔️,0.0,False,GPU
-1,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned + ensembled)](https://arxiv.org/abs/2511.08667),1621.0,+125/-100,0.652,9.08,2.97,4.968,2162.76,8.93,✔️,0.0,False,GPU
-2,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned)](https://arxiv.org/abs/2511.08667),1597.0,+126/-103,0.609,10.0,4.42,7.727,2162.76,0.894,✔️,0.0,False,GPU
-3,📊,Reference Pipeline,"[AutoGluon 1.4 (extreme, 4h)](https://arxiv.org/abs/2003.06505)",1528.0,+113/-80,0.546,13.04,5.48,9.618,620.85,8.569,✔️,0.0,False,GPU
-4,🧠🔁,Neural Network,[RealMLP (tuned + ensembled)](https://arxiv.org/abs/2407.04491),1506.0,+86/-60,0.461,14.12,7.02,12.159,3159.9,21.159,✔️,0.0,False,GPU
-5,🧠⚡,Foundation Model,[TabPFNv2 (tuned + ensembled)](https://www.nature.com/articles/s41586-024-08328-6),1504.0,+104/-88,0.489,14.21,6.69,11.53,3361.32,51.669,✔️,0.0,False,GPU
-6,🧠🔁,Neural Network,[Mitra (default)](https://arxiv.org/abs/2510.21204),1468.0,+101/-67,0.431,16.13,7.41,12.029,150.4,4.403,✔️,0.0,False,GPU
-7,📊,Reference Pipeline,"[AutoGluon 1.4 (best, 4h)](https://arxiv.org/abs/2003.06505)",1463.0,+80/-69,0.41,16.42,8.4,12.218,2628.27,1.401,✔️,0.0,False,CPU
-8,🧠🔁,Neural Network,[LimiX (default)](https://arxiv.org/abs/2509.03505),1457.0,+98/-64,0.439,16.75,6.1,11.286,4.3,0.584,➖,0.0,False,GPU
-9,🧠🔁,Neural Network,[RealMLP (tuned)](https://arxiv.org/abs/2407.04491),1441.0,+88/-57,0.391,17.63,8.64,13.535,3159.9,0.646,✔️,0.0,False,GPU
-10,🧠⚡,Foundation Model,[TabPFNv2 (tuned)](https://www.nature.com/articles/s41586-024-08328-6),1400.0,+84/-79,0.339,20.15,10.7,14.036,3361.32,0.527,✔️,0.0,False,GPU
-11,🧠⚡,Foundation Model,[TabDPT (tuned + ensembled)](https://arxiv.org/abs/2410.18164),1400.0,+103/-86,0.38,20.15,6.68,12.433,6883.9,405.331,✔️,0.0,False,GPU
-12,🧠🔁,Neural Network,[TabM (tuned + ensembled)](https://arxiv.org/abs/2410.24210),1389.0,+100/-72,0.332,20.81,9.98,14.604,2899.02,1.461,✔️,0.0,False,GPU
-13,🧠⚡,Foundation Model,[TabICL (default)](https://arxiv.org/abs/2502.05564),1388.0,+84/-94,0.351,20.87,6.23,13.131,9.07,2.008,✔️,0.0,False,GPU
-14,🧠⚡,Foundation Model,[BetaTabPFN (default)](https://arxiv.org/abs/2502.02527),1374.0,+94/-84,0.298,21.73,13.13,16.382,303.47,2.098,➖,0.0,False,GPU
-15,🧠⚡,Foundation Model,[TabDPT (tuned)](https://arxiv.org/abs/2410.18164),1356.0,+80/-98,0.34,22.88,6.75,13.867,6883.9,39.606,✔️,0.0,False,GPU
-16,🌳,Tree-based,[LightGBM (tuned + ensembled)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1342.0,+51/-42,0.194,23.83,19.27,16.138,691.46,1.455,✔️,0.0,False,CPU
-17,🧠⚡,Foundation Model,[TabPFNv2 (default)](https://www.nature.com/articles/s41586-024-08328-6),1341.0,+82/-91,0.315,23.85,8.22,15.148,4.28,0.511,✔️,0.0,False,GPU
-18,🧠🔁,Neural Network,[ModernNCA (tuned)](https://arxiv.org/abs/2407.03257),1335.0,+77/-86,0.265,24.27,10.91,15.115,6020.89,0.454,✔️,0.0,False,GPU
-19,🧠🔁,Neural Network,[TabM (tuned)](https://arxiv.org/abs/2410.24210),1326.0,+98/-71,0.268,24.83,14.9,15.756,2899.02,0.171,✔️,0.0,False,GPU
-20,🌳,Tree-based,[CatBoost (tuned + ensembled)](https://arxiv.org/abs/1706.09516),1325.0,+83/-68,0.21,24.94,17.66,16.007,1394.45,0.618,✔️,0.0,False,CPU
-21,🌳,Tree-based,[XGBoost (tuned + ensembled)](https://arxiv.org/abs/1603.02754),1305.0,+68/-56,0.183,26.25,20.41,17.318,785.9,1.281,✔️,0.0,False,CPU
-22,🌳,Tree-based,[CatBoost (default)](https://arxiv.org/abs/1706.09516),1304.0,+74/-52,0.167,26.33,19.44,16.868,5.74,0.139,✔️,0.0,False,CPU
-23,🌳,Tree-based,[EBM (tuned + ensembled)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1303.0,+73/-63,0.183,26.35,15.34,17.587,2399.23,0.565,✔️,0.0,False,CPU
-24,🧠⚡,Foundation Model,[SAP-RPT-OSS (default)](https://arxiv.org/abs/2506.10707),1298.0,+124/-117,0.282,26.71,9.9,18.367,12.42,1.417,➖,0.0,False,GPU
-25,❓,Other,[xRFM (tuned + ensembled)](https://arxiv.org/abs/2508.10053),1296.0,+77/-71,0.198,26.81,18.62,16.877,1053.72,1.872,✔️,0.0,False,GPU
-26,🧠🔁,Neural Network,[ModernNCA (tuned + ensembled)](https://arxiv.org/abs/2407.03257),1294.0,+92/-83,0.238,26.96,17.29,17.031,6020.89,8.478,✔️,0.0,False,GPU
-27,🌳,Tree-based,[CatBoost (tuned)](https://arxiv.org/abs/1706.09516),1291.0,+70/-49,0.17,27.19,21.87,16.785,1394.45,0.053,✔️,0.0,False,CPU
-28,🌳,Tree-based,[XGBoost (tuned)](https://arxiv.org/abs/1603.02754),1287.0,+71/-58,0.166,27.42,12.81,17.51,785.9,0.213,✔️,0.0,False,CPU
-29,🌳,Tree-based,[LightGBM (tuned)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1286.0,+69/-54,0.164,27.5,21.5,17.102,691.46,0.264,✔️,0.0,False,CPU
-30,🧠🔁,Neural Network,[TabM (default)](https://arxiv.org/abs/2410.24210),1283.0,+100/-71,0.23,27.73,16.4,18.07,11.6,0.148,✔️,0.0,False,GPU
-31,🧠🔁,Neural Network,[RealMLP (default)](https://arxiv.org/abs/2407.04491),1281.0,+81/-65,0.167,27.85,16.72,17.108,12.75,3.502,✔️,0.0,False,GPU
-32,🧠⚡,Foundation Model,[TabDPT (default)](https://arxiv.org/abs/2410.18164),1254.0,+97/-127,0.258,29.62,8.71,16.756,51.52,40.126,✔️,0.0,False,GPU
-33,🌳,Tree-based,[EBM (tuned)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1252.0,+60/-71,0.134,29.81,13.25,18.357,2399.23,0.061,✔️,0.0,False,CPU
-34,🌳,Tree-based,[EBM (default)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1251.0,+88/-92,0.139,29.85,12.79,18.783,7.41,0.052,✔️,0.0,False,CPU
-35,🧠🔁,Neural Network,[TorchMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1249.0,+72/-74,0.169,29.96,22.06,17.668,2792.14,2.175,✔️,0.0,False,CPU
-36,❓,Other,[xRFM (tuned)](https://arxiv.org/abs/2508.10053),1232.0,+84/-74,0.126,31.13,22.19,18.071,1053.72,0.103,✔️,0.0,False,GPU
-37,🧠🔁,Neural Network,[FastaiMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1217.0,+92/-107,0.17,32.1,20.76,20.456,1350.04,6.57,✔️,0.0,False,CPU
-38,🧠🔁,Neural Network,[ModernNCA (default)](https://arxiv.org/abs/2407.03257),1190.0,+71/-115,0.109,33.87,12.63,21.041,13.67,0.339,✔️,0.0,False,GPU
-39,🧠🔁,Neural Network,[TorchMLP (tuned)](https://arxiv.org/abs/2003.06505),1180.0,+80/-84,0.121,34.5,27.01,19.614,2792.14,0.133,✔️,0.0,False,CPU
-40,🌳,Tree-based,[ExtraTrees (tuned + ensembled)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1159.0,+82/-82,0.085,35.83,27.98,22.147,378.34,1.373,✔️,0.0,False,CPU
-41,🧠🔁,Neural Network,[FastaiMLP (tuned)](https://arxiv.org/abs/2003.06505),1152.0,+95/-107,0.124,36.31,21.92,21.966,1350.04,0.613,✔️,0.0,False,CPU
-42,🌳,Tree-based,[ExtraTrees (tuned)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1138.0,+92/-91,0.107,37.19,19.83,22.595,378.34,0.154,✔️,0.0,False,CPU
-43,🌳,Tree-based,[XGBoost (default)](https://arxiv.org/abs/1603.02754),1127.0,+60/-60,0.033,37.85,34.5,21.116,2.66,0.17,✔️,0.0,False,CPU
-44,🌳,Tree-based,[RandomForest (tuned + ensembled)](https://link.springer.com/article/10.1023/A:1010933404324),1117.0,+107/-103,0.077,38.46,27.77,23.308,527.27,1.155,✔️,0.0,False,CPU
-45,🌳,Tree-based,[LightGBM (default)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1102.0,+70/-70,0.047,39.33,35.23,21.73,3.01,0.177,✔️,0.0,False,CPU
-46,🌳,Tree-based,[RandomForest (tuned)](https://link.springer.com/article/10.1023/A:1010933404324),1078.0,+88/-89,0.045,40.73,33.27,24.138,527.27,0.128,✔️,0.0,False,CPU
-47,🧠⚡,Foundation Model,[TabFlex (default)](https://arxiv.org/abs/2506.05584),1028.0,+85/-152,0.068,43.5,32.84,28.036,2.28,0.454,➖,0.0,False,GPU
-48,🧠🔁,Neural Network,[TorchMLP (default)](https://arxiv.org/abs/2003.06505),1012.0,+90/-94,0.035,44.31,37.65,26.238,8.93,0.172,✔️,0.0,False,CPU
-49,🌳,Tree-based,[RandomForest (default)](https://link.springer.com/article/10.1023/A:1010933404324),1000.0,+82/-103,0.028,44.92,33.83,28.762,0.44,0.065,✔️,0.0,False,CPU
-50,❓,Other,[xRFM (default)](https://arxiv.org/abs/2508.10053),998.0,+92/-120,0.049,45.0,39.17,26.76,5.0,0.753,✔️,0.0,False,GPU
-51,🧠🔁,Neural Network,[FastaiMLP (default)](https://arxiv.org/abs/2003.06505),990.0,+92/-104,0.031,45.42,41.01,25.606,4.68,0.547,✔️,0.0,False,CPU
-52,📏,Baseline,[KNN (tuned + ensembled)](https://scikit-learn.org/stable/modules/neighbors.html),961.0,+81/-103,0.009,46.77,43.84,29.843,118.4,1.479,✔️,0.0,False,CPU
-53,📏,Baseline,[Linear (tuned + ensembled)](https://scikit-learn.org/stable/modules/linear_model.html),954.0,+94/-96,0.038,47.06,17.1,31.197,429.17,0.495,✔️,0.0,False,CPU
-54,🌳,Tree-based,[ExtraTrees (default)](https://link.springer.com/article/10.1007/s10994-006-6226-1),947.0,+86/-142,0.02,47.38,42.29,30.28,0.36,0.068,✔️,0.0,False,CPU
-55,📏,Baseline,[Linear (tuned)](https://scikit-learn.org/stable/modules/linear_model.html),930.0,+98/-110,0.033,48.12,25.77,31.807,429.17,0.081,✔️,0.0,False,CPU
-56,📏,Baseline,[Linear (default)](https://scikit-learn.org/stable/modules/linear_model.html),898.0,+103/-116,0.015,49.38,44.67,34.214,2.16,0.129,✔️,0.0,False,CPU
-57,📏,Baseline,[KNN (tuned)](https://scikit-learn.org/stable/modules/neighbors.html),768.0,+83/-149,0.0,53.46,52.66,37.314,118.4,0.082,✔️,0.0,False,CPU
-58,📏,Baseline,[KNN (default)](https://scikit-learn.org/stable/modules/neighbors.html),574.0,+118/-291,0.0,57.08,56.73,49.46,0.27,0.024,✔️,0.0,False,CPU
diff --git a/data/imputation_no/splits_lite/tasks_classification/datasets_tabpfn/winrate_matrix.png.zip b/data/imputation_no/splits_lite/tasks_classification/datasets_tabpfn/winrate_matrix.png.zip
deleted file mode 100644
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--- a/data/imputation_no/splits_lite/tasks_classification/datasets_tabpfn/winrate_matrix.png.zip
+++ /dev/null
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diff --git a/data/imputation_no/splits_lite/tasks_multiclass/datasets_all/n_datasets_8 b/data/imputation_no/splits_lite/tasks_multiclass/datasets_all/n_datasets_8
deleted file mode 100644
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diff --git a/data/imputation_no/splits_lite/tasks_multiclass/datasets_all/pareto_front_improvability_vs_time_infer.png.zip b/data/imputation_no/splits_lite/tasks_multiclass/datasets_all/pareto_front_improvability_vs_time_infer.png.zip
deleted file mode 100644
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+++ /dev/null
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diff --git a/data/imputation_no/splits_lite/tasks_multiclass/datasets_all/pareto_n_configs_imp.png.zip b/data/imputation_no/splits_lite/tasks_multiclass/datasets_all/pareto_n_configs_imp.png.zip
deleted file mode 100644
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diff --git a/data/imputation_no/splits_lite/tasks_multiclass/datasets_all/tuning-impact-elo.png.zip b/data/imputation_no/splits_lite/tasks_multiclass/datasets_all/tuning-impact-elo.png.zip
deleted file mode 100644
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diff --git a/data/imputation_no/splits_lite/tasks_multiclass/datasets_all/website_leaderboard.csv b/data/imputation_no/splits_lite/tasks_multiclass/datasets_all/website_leaderboard.csv
deleted file mode 100644
index 44a7e24229753b87433c75cb3f08081b5b80c71d..0000000000000000000000000000000000000000
--- a/data/imputation_no/splits_lite/tasks_multiclass/datasets_all/website_leaderboard.csv
+++ /dev/null
@@ -1,54 +0,0 @@
-#,Type,TypeName,Model,Elo [⬆️],Elo 95% CI,Score [⬆️],Rank [⬇️],Harmonic Rank [⬇️],Improvability (%) [⬇️],Median Train Time (s/1K) [⬇️],Median Predict Time (s/1K) [⬇️],Verified,Imputed (%) [⬇️],Imputed,Hardware
-0,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned + ensembled)](https://arxiv.org/abs/2511.08667),1715.0,+758/-197,0.786,5.62,1.64,1.808,2793.65,8.93,✔️,0.0,False,GPU
-1,📊,Reference Pipeline,"[AutoGluon 1.4 (extreme, 4h)](https://arxiv.org/abs/2003.06505)",1680.0,+243/-93,0.731,6.5,4.71,11.082,1008.06,9.121,✔️,0.0,False,GPU
-2,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned)](https://arxiv.org/abs/2511.08667),1668.0,+346/-169,0.674,6.81,3.59,9.911,2793.65,1.513,✔️,0.0,False,GPU
-3,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (default)](https://arxiv.org/abs/2511.08667),1512.0,+320/-135,0.536,12.31,5.0,10.367,9.88,0.825,✔️,0.0,False,GPU
-4,📊,Reference Pipeline,"[AutoGluon 1.4 (best, 4h)](https://arxiv.org/abs/2003.06505)",1478.0,+209/-104,0.504,13.88,4.14,14.071,5546.65,3.268,✔️,0.0,False,CPU
-5,🧠🔁,Neural Network,[RealMLP (tuned + ensembled)](https://arxiv.org/abs/2407.04491),1444.0,+189/-121,0.426,15.5,5.27,15.484,4334.8,21.159,✔️,0.0,False,GPU
-6,🌳,Tree-based,[CatBoost (tuned + ensembled)](https://arxiv.org/abs/1706.09516),1436.0,+177/-94,0.377,15.88,12.46,15.024,3307.58,1.182,✔️,0.0,False,CPU
-7,🌳,Tree-based,[CatBoost (tuned)](https://arxiv.org/abs/1706.09516),1429.0,+156/-66,0.348,16.25,12.85,15.552,3307.58,0.14,✔️,0.0,False,CPU
-8,🌳,Tree-based,[LightGBM (tuned + ensembled)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1419.0,+133/-91,0.328,16.75,11.78,16.245,1280.01,4.078,✔️,0.0,False,CPU
-9,🌳,Tree-based,[LightGBM (tuned)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1412.0,+131/-105,0.317,17.12,11.21,16.321,1280.01,1.051,✔️,0.0,False,CPU
-10,🧠🔁,Neural Network,[RealMLP (tuned)](https://arxiv.org/abs/2407.04491),1407.0,+181/-130,0.379,17.38,12.97,15.962,4334.8,3.529,✔️,0.0,False,GPU
-11,🧠🔁,Neural Network,[TabM (tuned + ensembled)](https://arxiv.org/abs/2410.24210),1405.0,+158/-112,0.337,17.5,12.35,18.699,5568.31,1.781,✔️,0.0,False,GPU
-12,🧠🔁,Neural Network,[TabM (tuned)](https://arxiv.org/abs/2410.24210),1388.0,+154/-114,0.335,18.38,11.61,19.038,5568.31,0.372,✔️,0.0,False,GPU
-13,🧠⚡,Foundation Model,[TabDPT (tuned + ensembled)](https://arxiv.org/abs/2410.18164),1384.0,+217/-130,0.374,18.62,10.43,19.449,9411.86,344.009,✔️,0.0,False,GPU
-14,❓,Other,[xRFM (tuned + ensembled)](https://arxiv.org/abs/2508.10053),1359.0,+209/-169,0.306,20.0,8.48,19.369,2079.21,3.347,✔️,0.0,False,GPU
-15,🌳,Tree-based,[XGBoost (tuned + ensembled)](https://arxiv.org/abs/1603.02754),1352.0,+108/-84,0.252,20.38,18.72,16.949,2029.77,4.113,✔️,0.0,False,CPU
-16,🌳,Tree-based,[XGBoost (tuned)](https://arxiv.org/abs/1603.02754),1345.0,+124/-103,0.259,20.75,18.66,16.708,2029.77,1.04,✔️,0.0,False,CPU
-17,🧠🔁,Neural Network,[ModernNCA (tuned + ensembled)](https://arxiv.org/abs/2407.03257),1325.0,+152/-118,0.243,21.94,17.04,18.145,6684.65,9.59,✔️,0.0,False,GPU
-18,🧠⚡,Foundation Model,[TabDPT (tuned)](https://arxiv.org/abs/2410.18164),1306.0,+211/-142,0.304,23.0,5.98,20.809,9411.86,39.507,✔️,0.0,False,GPU
-19,🧠🔁,Neural Network,[ModernNCA (tuned)](https://arxiv.org/abs/2407.03257),1303.0,+153/-115,0.205,23.19,18.85,18.488,6684.65,0.752,✔️,0.0,False,GPU
-20,🧠🔁,Neural Network,[TabM (default)](https://arxiv.org/abs/2410.24210),1296.0,+142/-131,0.237,23.62,14.57,22.14,17.09,0.145,✔️,0.0,False,GPU
-21,🌳,Tree-based,[EBM (tuned + ensembled)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1294.0,+143/-113,0.171,23.75,15.43,20.217,27108.48,0.742,✔️,0.0,False,CPU
-22,🧠⚡,Foundation Model,[SAP-RPT-OSS (default)](https://arxiv.org/abs/2506.10707),1289.0,+226/-310,0.371,24.0,7.66,20.668,21.84,1.702,➖,0.0,False,GPU
-23,🌳,Tree-based,[ExtraTrees (tuned + ensembled)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1288.0,+200/-158,0.246,24.06,12.87,21.612,728.32,2.441,✔️,0.0,False,CPU
-24,🌳,Tree-based,[CatBoost (default)](https://arxiv.org/abs/1706.09516),1283.0,+98/-76,0.142,24.38,22.48,18.577,43.1,0.254,✔️,0.0,False,CPU
-25,❓,Other,[xRFM (tuned)](https://arxiv.org/abs/2508.10053),1278.0,+251/-178,0.245,24.62,5.82,20.994,2079.21,0.319,✔️,0.0,False,GPU
-26,🌳,Tree-based,[RandomForest (tuned + ensembled)](https://link.springer.com/article/10.1023/A:1010933404324),1274.0,+226/-205,0.268,24.88,12.88,20.771,729.17,1.833,✔️,0.0,False,CPU
-27,🌳,Tree-based,[ExtraTrees (tuned)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1262.0,+204/-147,0.217,25.56,13.0,21.742,728.32,0.356,✔️,0.0,False,CPU
-28,🧠⚡,Foundation Model,[BetaTabPFN (default)](https://arxiv.org/abs/2502.02527),1258.0,+121/-127,0.178,25.75,20.19,21.941,283.57,4.104,➖,0.0,False,GPU
-29,🧠🔁,Neural Network,[TorchMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1243.0,+111/-106,0.129,26.62,23.64,21.705,3646.83,2.162,✔️,0.0,False,CPU
-30,🌳,Tree-based,[EBM (tuned)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1226.0,+115/-130,0.15,27.62,22.85,21.727,27108.48,0.066,✔️,0.0,False,CPU
-31,🌳,Tree-based,[EBM (default)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1221.0,+115/-129,0.134,27.88,24.98,22.231,17.86,0.099,✔️,0.0,False,CPU
-32,🧠🔁,Neural Network,[TorchMLP (tuned)](https://arxiv.org/abs/2003.06505),1212.0,+145/-164,0.128,28.38,19.83,23.531,3646.83,0.194,✔️,0.0,False,CPU
-33,🌳,Tree-based,[RandomForest (tuned)](https://link.springer.com/article/10.1023/A:1010933404324),1204.0,+206/-176,0.18,28.88,17.52,22.297,729.17,0.325,✔️,0.0,False,CPU
-34,🧠🔁,Neural Network,[FastaiMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1189.0,+210/-193,0.177,29.75,17.85,25.651,2721.87,12.593,✔️,0.0,False,CPU
-35,🌳,Tree-based,[LightGBM (default)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1189.0,+153/-152,0.135,29.75,23.29,22.982,5.12,0.444,✔️,0.0,False,CPU
-36,🌳,Tree-based,[XGBoost (default)](https://arxiv.org/abs/1603.02754),1184.0,+114/-119,0.069,30.0,27.34,20.547,4.93,0.592,✔️,0.0,False,CPU
-37,🧠⚡,Foundation Model,[TabDPT (default)](https://arxiv.org/abs/2410.18164),1184.0,+244/-170,0.217,30.0,10.2,24.06,46.36,39.812,✔️,0.0,False,GPU
-38,🧠🔁,Neural Network,[RealMLP (default)](https://arxiv.org/abs/2407.04491),1120.0,+146/-158,0.09,33.5,28.17,25.251,19.12,6.922,✔️,0.0,False,GPU
-39,🧠🔁,Neural Network,[FastaiMLP (tuned)](https://arxiv.org/abs/2003.06505),1088.0,+158/-172,0.094,35.12,27.3,27.296,2721.87,1.083,✔️,0.0,False,CPU
-40,🧠🔁,Neural Network,[ModernNCA (default)](https://arxiv.org/abs/2407.03257),1086.0,+118/-150,0.019,35.25,32.98,27.29,17.24,0.565,✔️,0.0,False,GPU
-41,❓,Other,[xRFM (default)](https://arxiv.org/abs/2508.10053),1086.0,+161/-220,0.074,35.25,29.49,29.013,8.99,1.372,✔️,0.0,False,GPU
-42,📏,Baseline,[KNN (tuned + ensembled)](https://scikit-learn.org/stable/modules/neighbors.html),1012.0,+263/-373,0.132,38.75,25.46,38.476,155.52,2.046,✔️,0.0,False,CPU
-43,🌳,Tree-based,[RandomForest (default)](https://link.springer.com/article/10.1023/A:1010933404324),1000.0,+102/-189,0.0,39.25,37.31,35.562,0.74,0.148,✔️,0.0,False,CPU
-44,🧠🔁,Neural Network,[TorchMLP (default)](https://arxiv.org/abs/2003.06505),973.0,+93/-146,0.0,40.38,39.42,30.565,14.37,0.363,✔️,0.0,False,CPU
-45,🧠🔁,Neural Network,[FastaiMLP (default)](https://arxiv.org/abs/2003.06505),924.0,+158/-247,0.03,42.25,38.04,34.532,8.37,0.659,✔️,0.0,False,CPU
-46,📏,Baseline,[Linear (tuned + ensembled)](https://scikit-learn.org/stable/modules/linear_model.html),919.0,+76/-227,0.0,42.44,41.48,41.326,909.67,0.609,✔️,0.0,False,CPU
-47,📏,Baseline,[Linear (tuned)](https://scikit-learn.org/stable/modules/linear_model.html),897.0,+81/-222,0.0,43.19,42.14,42.282,909.67,0.107,✔️,0.0,False,CPU
-48,🌳,Tree-based,[ExtraTrees (default)](https://link.springer.com/article/10.1007/s10994-006-6226-1),896.0,+166/-233,0.013,43.25,40.23,40.712,0.76,0.153,✔️,0.0,False,CPU
-49,📏,Baseline,[KNN (tuned)](https://scikit-learn.org/stable/modules/neighbors.html),774.0,+274/-873,0.064,46.75,39.36,50.559,155.52,0.191,✔️,0.0,False,CPU
-50,🧠⚡,Foundation Model,[TabFlex (default)](https://arxiv.org/abs/2506.05584),752.0,+78/-199,0.0,47.25,47.02,41.42,4.67,0.855,➖,0.0,False,GPU
-51,📏,Baseline,[Linear (default)](https://scikit-learn.org/stable/modules/linear_model.html),712.0,+92/-262,0.0,48.12,47.82,48.104,4.62,0.135,✔️,0.0,False,CPU
-52,📏,Baseline,[KNN (default)](https://scikit-learn.org/stable/modules/neighbors.html),-304.0,+166/-722,0.0,53.0,53.0,70.927,0.52,0.075,✔️,0.0,False,CPU
diff --git a/data/imputation_no/splits_lite/tasks_multiclass/datasets_all/winrate_matrix.png.zip b/data/imputation_no/splits_lite/tasks_multiclass/datasets_all/winrate_matrix.png.zip
deleted file mode 100644
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diff --git a/data/imputation_no/splits_lite/tasks_multiclass/datasets_medium/website_leaderboard.csv b/data/imputation_no/splits_lite/tasks_multiclass/datasets_medium/website_leaderboard.csv
deleted file mode 100644
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+++ /dev/null
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-#,Type,TypeName,Model,Elo [⬆️],Elo 95% CI,Score [⬆️],Rank [⬇️],Harmonic Rank [⬇️],Improvability (%) [⬇️],Median Train Time (s/1K) [⬇️],Median Predict Time (s/1K) [⬇️],Verified,Imputed (%) [⬇️],Imputed,Hardware
-0,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned + ensembled)](https://arxiv.org/abs/2511.08667),25529.0,+0/-0,1.0,1.0,1.0,0.0,134.59,8.308,✔️,0.0,False,GPU
-1,📊,Reference Pipeline,"[AutoGluon 1.4 (best, 4h)](https://arxiv.org/abs/2003.06505)",24211.0,+0/-0,0.936,2.0,2.0,1.729,276.98,4.897,✔️,0.0,False,CPU
-2,📊,Reference Pipeline,"[AutoGluon 1.4 (extreme, 4h)](https://arxiv.org/abs/2003.06505)",22594.0,+0/-0,0.918,3.0,3.0,2.208,276.84,3.303,✔️,0.0,False,GPU
-3,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned)](https://arxiv.org/abs/2511.08667),20725.0,+0/-0,0.886,4.0,4.0,3.024,134.59,2.819,✔️,0.0,False,GPU
-4,🌳,Tree-based,[EBM (tuned + ensembled)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),19652.0,+0/-0,0.588,5.0,5.0,10.141,7855.1,0.565,✔️,0.0,False,CPU
-5,🌳,Tree-based,[RandomForest (tuned + ensembled)](https://link.springer.com/article/10.1023/A:1010933404324),18457.0,+0/-0,0.583,6.0,6.0,10.238,61.47,0.154,✔️,0.0,False,CPU
-6,🌳,Tree-based,[LightGBM (tuned + ensembled)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),17698.0,+0/-0,0.58,7.0,7.0,10.303,157.4,4.579,✔️,0.0,False,CPU
-7,🌳,Tree-based,[LightGBM (tuned)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),16836.0,+0/-0,0.579,8.0,8.0,10.333,157.4,0.401,✔️,0.0,False,CPU
-8,🌳,Tree-based,[RandomForest (tuned)](https://link.springer.com/article/10.1023/A:1010933404324),16053.0,+0/-0,0.564,9.0,9.0,10.67,61.47,0.015,✔️,0.0,False,CPU
-9,🌳,Tree-based,[CatBoost (tuned)](https://arxiv.org/abs/1706.09516),15299.0,+0/-0,0.538,10.0,10.0,11.231,2687.46,0.361,✔️,0.0,False,CPU
-10,🌳,Tree-based,[EBM (tuned)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),14521.0,+0/-0,0.535,11.0,11.0,11.295,7855.1,0.048,✔️,0.0,False,CPU
-11,🌳,Tree-based,[CatBoost (tuned + ensembled)](https://arxiv.org/abs/1706.09516),13703.0,+0/-0,0.531,12.0,12.0,11.389,2687.46,0.793,✔️,0.0,False,CPU
-12,🌳,Tree-based,[XGBoost (tuned + ensembled)](https://arxiv.org/abs/1603.02754),12920.0,+0/-0,0.528,13.0,13.0,11.441,456.33,1.171,✔️,0.0,False,CPU
-13,🌳,Tree-based,[XGBoost (tuned)](https://arxiv.org/abs/1603.02754),12173.0,+0/-0,0.515,14.0,14.0,11.722,456.33,0.047,✔️,0.0,False,CPU
-14,🌳,Tree-based,[XGBoost (default)](https://arxiv.org/abs/1603.02754),11454.0,+0/-0,0.515,15.0,15.0,11.722,0.32,0.047,✔️,0.0,False,CPU
-15,🌳,Tree-based,[CatBoost (default)](https://arxiv.org/abs/1706.09516),10661.0,+0/-0,0.447,16.0,16.0,13.143,8.22,0.049,✔️,0.0,False,CPU
-16,🧠🔁,Neural Network,[ModernNCA (tuned + ensembled)](https://arxiv.org/abs/2407.03257),9930.0,+0/-0,0.436,17.0,17.0,13.383,4378.82,25.595,✔️,0.0,False,GPU
-17,🌳,Tree-based,[EBM (default)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),9235.0,+0/-0,0.404,18.0,18.0,14.026,20.73,0.079,✔️,0.0,False,CPU
-18,🧠🔁,Neural Network,[ModernNCA (tuned)](https://arxiv.org/abs/2407.03257),8520.0,+0/-0,0.403,19.0,19.0,14.047,4378.82,2.216,✔️,0.0,False,GPU
-19,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (default)](https://arxiv.org/abs/2511.08667),7765.0,+0/-0,0.374,20.0,20.0,14.639,1.48,0.535,✔️,0.0,False,GPU
-20,🧠⚡,Foundation Model,[TabICL (default)](https://arxiv.org/abs/2502.05564),7045.0,+0/-0,0.312,21.0,21.0,15.857,2.79,1.057,✔️,0.0,False,GPU
-21,🌳,Tree-based,[ExtraTrees (tuned + ensembled)](https://link.springer.com/article/10.1007/s10994-006-6226-1),6363.0,+0/-0,0.27,22.0,22.0,16.662,20.88,0.359,✔️,0.0,False,CPU
-22,🌳,Tree-based,[ExtraTrees (tuned)](https://link.springer.com/article/10.1007/s10994-006-6226-1),5667.0,+0/-0,0.135,23.0,23.0,19.143,20.88,0.026,✔️,0.0,False,CPU
-23,🧠⚡,Foundation Model,[TabDPT (tuned + ensembled)](https://arxiv.org/abs/2410.18164),4962.0,+0/-0,0.085,24.0,24.0,20.028,4390.96,275.957,✔️,0.0,False,GPU
-24,🧠🔁,Neural Network,[TorchMLP (tuned)](https://arxiv.org/abs/2003.06505),4493.0,+0/-0,0.051,25.0,25.0,20.621,2341.91,0.027,✔️,0.0,False,CPU
-25,🧠🔁,Neural Network,[ModernNCA (default)](https://arxiv.org/abs/2407.03257),3732.0,+0/-0,0.032,26.0,26.0,20.955,14.53,1.747,✔️,0.0,False,GPU
-26,🧠🔁,Neural Network,[TorchMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),3107.0,+0/-0,0.028,27.0,27.0,21.025,2341.91,0.172,✔️,0.0,False,CPU
-27,🧠🔁,Neural Network,[TabM (tuned + ensembled)](https://arxiv.org/abs/2410.24210),2386.0,+0/-0,0.0,28.0,28.0,21.961,1993.57,0.469,✔️,0.0,False,GPU
-28,🧠🔁,Neural Network,[TabM (tuned)](https://arxiv.org/abs/2410.24210),1761.0,+0/-0,0.0,29.0,29.0,22.049,1993.57,0.055,✔️,0.0,False,GPU
-29,🌳,Tree-based,[RandomForest (default)](https://link.springer.com/article/10.1023/A:1010933404324),1000.0,+0/-0,0.0,30.0,30.0,24.001,0.18,0.007,✔️,0.0,False,CPU
-30,🧠⚡,Foundation Model,[TabDPT (tuned)](https://arxiv.org/abs/2410.18164),531.0,+0/-0,0.0,31.0,31.0,24.06,4390.96,38.525,✔️,0.0,False,GPU
-31,🧠⚡,Foundation Model,[TabDPT (default)](https://arxiv.org/abs/2410.18164),-174.0,+0/-0,0.0,32.0,32.0,24.187,41.21,39.406,✔️,0.0,False,GPU
-32,🧠🔁,Neural Network,[RealMLP (tuned + ensembled)](https://arxiv.org/abs/2407.04491),-870.0,+0/-0,0.0,33.0,33.0,24.591,1322.48,0.546,✔️,0.0,False,GPU
-33,🧠⚡,Foundation Model,[SAP-RPT-OSS (default)](https://arxiv.org/abs/2506.10707),-1552.0,+0/-0,0.0,34.0,34.0,24.684,9.89,9.237,➖,0.0,False,GPU
-34,🧠🔁,Neural Network,[RealMLP (tuned)](https://arxiv.org/abs/2407.04491),-2272.0,+0/-0,0.0,35.0,35.0,25.183,1322.48,0.055,✔️,0.0,False,GPU
-35,🌳,Tree-based,[LightGBM (default)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),-3027.0,+0/-0,0.0,36.0,36.0,26.439,0.21,0.047,✔️,0.0,False,CPU
-36,❓,Other,[xRFM (tuned + ensembled)](https://arxiv.org/abs/2508.10053),-3742.0,+0/-0,0.0,37.0,37.0,29.215,2009.11,3.767,✔️,0.0,False,GPU
-37,❓,Other,[xRFM (tuned)](https://arxiv.org/abs/2508.10053),-4436.0,+0/-0,0.0,38.0,38.0,30.84,2009.11,0.974,✔️,0.0,False,GPU
-38,🧠🔁,Neural Network,[TabM (default)](https://arxiv.org/abs/2410.24210),-5168.0,+0/-0,0.0,39.0,39.0,31.796,6.84,0.09,✔️,0.0,False,GPU
-39,🧠🔁,Neural Network,[TorchMLP (default)](https://arxiv.org/abs/2003.06505),-5961.0,+0/-0,0.0,40.0,40.0,31.813,3.34,0.028,✔️,0.0,False,CPU
-40,🧠⚡,Foundation Model,[BetaTabPFN (default)](https://arxiv.org/abs/2502.02527),-6680.0,+0/-0,0.0,41.0,41.0,34.136,66.06,1.783,➖,0.0,False,GPU
-41,🧠🔁,Neural Network,[RealMLP (default)](https://arxiv.org/abs/2407.04491),-7427.0,+0/-0,0.0,42.0,42.0,38.819,6.51,0.162,✔️,0.0,False,GPU
-42,🧠🔁,Neural Network,[FastaiMLP (tuned)](https://arxiv.org/abs/2003.06505),-8210.0,+0/-0,0.0,43.0,43.0,41.321,553.48,0.174,✔️,0.0,False,CPU
-43,🧠🔁,Neural Network,[FastaiMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),-9028.0,+0/-0,0.0,44.0,44.0,42.976,553.48,1.636,✔️,0.0,False,CPU
-44,🌳,Tree-based,[ExtraTrees (default)](https://link.springer.com/article/10.1007/s10994-006-6226-1),-9806.0,+0/-0,0.0,45.0,45.0,50.562,0.08,0.017,✔️,0.0,False,CPU
-45,🧠🔁,Neural Network,[FastaiMLP (default)](https://arxiv.org/abs/2003.06505),-10560.0,+0/-0,0.0,46.0,46.0,52.296,2.73,0.083,✔️,0.0,False,CPU
-46,📏,Baseline,[Linear (tuned + ensembled)](https://scikit-learn.org/stable/modules/linear_model.html),-11343.0,+0/-0,0.0,47.0,47.0,52.871,30.19,0.134,✔️,0.0,False,CPU
-47,📏,Baseline,[Linear (tuned)](https://scikit-learn.org/stable/modules/linear_model.html),-12204.0,+0/-0,0.0,48.0,48.0,55.965,30.19,0.017,✔️,0.0,False,CPU
-48,📏,Baseline,[Linear (default)](https://scikit-learn.org/stable/modules/linear_model.html),-12964.0,+0/-0,0.0,49.0,49.0,56.26,0.13,0.015,✔️,0.0,False,CPU
-49,📏,Baseline,[KNN (tuned + ensembled)](https://scikit-learn.org/stable/modules/neighbors.html),-14158.0,+0/-0,0.0,50.0,50.0,57.211,76.41,2.853,✔️,0.0,False,CPU
-50,❓,Other,[xRFM (default)](https://arxiv.org/abs/2508.10053),-15232.0,+0/-0,0.0,51.0,51.0,57.769,3.14,0.921,✔️,0.0,False,GPU
-51,🧠⚡,Foundation Model,[TabFlex (default)](https://arxiv.org/abs/2506.05584),-17101.0,+0/-0,0.0,52.0,52.0,57.822,0.11,0.023,➖,0.0,False,GPU
-52,📏,Baseline,[KNN (tuned)](https://scikit-learn.org/stable/modules/neighbors.html),-18718.0,+0/-0,0.0,53.0,53.0,70.703,76.41,0.258,✔️,0.0,False,CPU
-53,📏,Baseline,[KNN (default)](https://scikit-learn.org/stable/modules/neighbors.html),-20036.0,+0/-0,0.0,54.0,54.0,83.729,0.14,0.123,✔️,0.0,False,CPU
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-#,Type,TypeName,Model,Elo [⬆️],Elo 95% CI,Score [⬆️],Rank [⬇️],Harmonic Rank [⬇️],Improvability (%) [⬇️],Median Train Time (s/1K) [⬇️],Median Predict Time (s/1K) [⬇️],Verified,Imputed (%) [⬇️],Imputed,Hardware
-0,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned + ensembled)](https://arxiv.org/abs/2511.08667),1729.0,+476/-207,0.754,6.43,1.8,2.066,2837.96,9.546,✔️,0.0,False,GPU
-1,📊,Reference Pipeline,"[AutoGluon 1.4 (extreme, 4h)](https://arxiv.org/abs/2003.06505)",1698.0,+238/-91,0.7,7.29,5.22,12.349,1060.41,10.928,✔️,0.0,False,GPU
-2,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned)](https://arxiv.org/abs/2511.08667),1682.0,+406/-180,0.639,7.79,3.7,10.895,2837.96,1.134,✔️,0.0,False,GPU
-3,🧠🔁,Neural Network,[LimiX (default)](https://arxiv.org/abs/2509.03505),1592.0,+208/-101,0.531,11.0,6.64,10.653,6.19,1.301,➖,0.0,False,GPU
-4,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (default)](https://arxiv.org/abs/2511.08667),1576.0,+366/-170,0.555,11.64,4.79,9.756,10.97,0.856,✔️,0.0,False,GPU
-5,🧠🔁,Neural Network,[RealMLP (tuned + ensembled)](https://arxiv.org/abs/2407.04491),1529.0,+255/-134,0.482,13.71,4.76,14.183,4655.15,21.791,✔️,0.0,False,GPU
-6,🧠🔁,Neural Network,[RealMLP (tuned)](https://arxiv.org/abs/2407.04491),1488.0,+192/-142,0.429,15.71,12.47,14.644,4655.15,4.031,✔️,0.0,False,GPU
-7,📊,Reference Pipeline,"[AutoGluon 1.4 (best, 4h)](https://arxiv.org/abs/2003.06505)",1482.0,+272/-110,0.441,16.0,4.91,15.834,6318.92,3.195,✔️,0.0,False,CPU
-8,🧠🔁,Neural Network,[TabM (tuned + ensembled)](https://arxiv.org/abs/2410.24210),1466.0,+160/-115,0.379,16.86,11.86,18.233,5729.39,1.817,✔️,0.0,False,GPU
-9,🌳,Tree-based,[CatBoost (tuned + ensembled)](https://arxiv.org/abs/1706.09516),1460.0,+217/-115,0.348,17.14,13.03,15.543,3375.11,1.208,✔️,0.0,False,CPU
-10,🧠🔁,Neural Network,[TabM (tuned)](https://arxiv.org/abs/2410.24210),1449.0,+161/-117,0.378,17.71,10.94,18.608,5729.39,0.373,✔️,0.0,False,GPU
-11,🌳,Tree-based,[CatBoost (tuned)](https://arxiv.org/abs/1706.09516),1446.0,+171/-67,0.313,17.86,13.75,16.169,3375.11,0.132,✔️,0.0,False,CPU
-12,❓,Other,[xRFM (tuned + ensembled)](https://arxiv.org/abs/2508.10053),1436.0,+176/-195,0.349,18.43,7.92,17.962,2149.3,2.928,✔️,0.0,False,GPU
-13,🧠⚡,Foundation Model,[TabDPT (tuned + ensembled)](https://arxiv.org/abs/2410.18164),1433.0,+219/-195,0.41,18.57,9.81,19.367,10182.26,399.569,✔️,0.0,False,GPU
-14,🌳,Tree-based,[LightGBM (tuned + ensembled)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1428.0,+182/-95,0.288,18.86,14.23,17.093,1394.84,3.578,✔️,0.0,False,CPU
-15,🌳,Tree-based,[LightGBM (tuned)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1423.0,+219/-90,0.276,19.14,13.32,17.176,1394.84,1.087,✔️,0.0,False,CPU
-16,🌳,Tree-based,[XGBoost (tuned + ensembled)](https://arxiv.org/abs/1603.02754),1367.0,+101/-76,0.205,22.29,20.87,17.736,2342.58,5.131,✔️,0.0,False,CPU
-17,🧠🔁,Neural Network,[TabM (default)](https://arxiv.org/abs/2410.24210),1364.0,+193/-136,0.266,22.43,13.73,20.76,19.13,0.146,✔️,0.0,False,GPU
-18,🌳,Tree-based,[XGBoost (tuned)](https://arxiv.org/abs/1603.02754),1362.0,+102/-95,0.216,22.57,20.54,17.42,2342.58,1.065,✔️,0.0,False,CPU
-19,🧠⚡,Foundation Model,[TabDPT (tuned)](https://arxiv.org/abs/2410.18164),1359.0,+247/-207,0.345,22.71,5.41,20.345,10182.26,40.124,✔️,0.0,False,GPU
-20,🧠⚡,Foundation Model,[SAP-RPT-OSS (default)](https://arxiv.org/abs/2506.10707),1350.0,+280/-250,0.424,23.29,6.99,20.095,22.26,1.556,➖,0.0,False,GPU
-21,🧠🔁,Neural Network,[ModernNCA (tuned + ensembled)](https://arxiv.org/abs/2407.03257),1346.0,+159/-134,0.212,23.5,18.33,18.825,6994.17,9.554,✔️,0.0,False,GPU
-22,❓,Other,[xRFM (tuned)](https://arxiv.org/abs/2508.10053),1342.0,+203/-190,0.278,23.71,5.31,19.587,2149.3,0.147,✔️,0.0,False,GPU
-23,🧠⚡,Foundation Model,[BetaTabPFN (default)](https://arxiv.org/abs/2502.02527),1328.0,+144/-120,0.202,24.57,19.6,20.198,326.23,4.282,➖,0.0,False,GPU
-24,🧠🔁,Neural Network,[ModernNCA (tuned)](https://arxiv.org/abs/2407.03257),1326.0,+165/-142,0.17,24.64,19.65,19.122,6994.17,0.583,✔️,0.0,False,GPU
-25,🌳,Tree-based,[ExtraTrees (tuned + ensembled)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1314.0,+201/-229,0.236,25.36,12.58,22.319,772.2,2.495,✔️,0.0,False,CPU
-26,🌳,Tree-based,[CatBoost (default)](https://arxiv.org/abs/1706.09516),1296.0,+119/-68,0.096,26.43,24.61,19.353,57.99,0.317,✔️,0.0,False,CPU
-27,🌳,Tree-based,[ExtraTrees (tuned)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1287.0,+192/-206,0.222,26.93,12.71,22.113,772.2,0.373,✔️,0.0,False,CPU
-28,🌳,Tree-based,[EBM (tuned + ensembled)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1281.0,+127/-94,0.107,27.29,22.48,21.656,44054.5,0.843,✔️,0.0,False,CPU
-29,🧠🔁,Neural Network,[TorchMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1276.0,+144/-112,0.135,27.57,23.96,21.802,3833.57,2.294,✔️,0.0,False,CPU
-30,🌳,Tree-based,[RandomForest (tuned + ensembled)](https://link.springer.com/article/10.1023/A:1010933404324),1261.0,+198/-276,0.218,28.43,16.95,22.276,731.01,2.021,✔️,0.0,False,CPU
-31,🧠🔁,Neural Network,[FastaiMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1256.0,+262/-226,0.204,28.71,18.0,23.176,2750.22,13.569,✔️,0.0,False,CPU
-32,🌳,Tree-based,[LightGBM (default)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1237.0,+186/-204,0.152,29.86,22.85,22.488,5.15,0.526,✔️,0.0,False,CPU
-33,🧠🔁,Neural Network,[TorchMLP (tuned)](https://arxiv.org/abs/2003.06505),1237.0,+185/-161,0.133,29.86,19.71,23.947,3833.57,0.22,✔️,0.0,False,CPU
-34,🌳,Tree-based,[EBM (default)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1229.0,+115/-126,0.092,30.29,27.55,23.403,14.99,0.113,✔️,0.0,False,CPU
-35,🧠⚡,Foundation Model,[TabDPT (default)](https://arxiv.org/abs/2410.18164),1224.0,+235/-225,0.247,30.57,9.34,24.042,51.52,40.219,✔️,0.0,False,GPU
-36,🌳,Tree-based,[EBM (tuned)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1220.0,+115/-111,0.094,30.86,27.68,23.217,44054.5,0.068,✔️,0.0,False,CPU
-37,🌳,Tree-based,[RandomForest (tuned)](https://link.springer.com/article/10.1023/A:1010933404324),1186.0,+132/-217,0.122,32.71,22.15,23.958,731.01,0.334,✔️,0.0,False,CPU
-38,🌳,Tree-based,[XGBoost (default)](https://arxiv.org/abs/1603.02754),1178.0,+67/-103,0.004,33.14,32.01,21.807,5.38,0.624,✔️,0.0,False,CPU
-39,🧠🔁,Neural Network,[RealMLP (default)](https://arxiv.org/abs/2407.04491),1173.0,+144/-183,0.097,33.43,28.17,23.313,20.63,7.532,✔️,0.0,False,GPU
-40,❓,Other,[xRFM (default)](https://arxiv.org/abs/2508.10053),1160.0,+151/-212,0.081,34.14,29.08,24.905,9.4,1.444,✔️,0.0,False,GPU
-41,🧠🔁,Neural Network,[FastaiMLP (tuned)](https://arxiv.org/abs/2003.06505),1141.0,+217/-232,0.106,35.14,27.44,25.292,2750.22,1.239,✔️,0.0,False,CPU
-42,🧠🔁,Neural Network,[ModernNCA (default)](https://arxiv.org/abs/2407.03257),1093.0,+112/-157,0.014,37.57,35.36,28.196,19.64,0.478,✔️,0.0,False,GPU
-43,📏,Baseline,[KNN (tuned + ensembled)](https://scikit-learn.org/stable/modules/neighbors.html),1081.0,+254/-420,0.149,38.14,24.31,35.799,180.38,1.24,✔️,0.0,False,CPU
-44,🧠🔁,Neural Network,[TorchMLP (default)](https://arxiv.org/abs/2003.06505),1004.0,+112/-185,0.0,41.57,40.51,30.387,14.87,0.391,✔️,0.0,False,CPU
-45,🌳,Tree-based,[RandomForest (default)](https://link.springer.com/article/10.1023/A:1010933404324),1000.0,+106/-279,0.0,41.71,39.95,37.213,0.78,0.155,✔️,0.0,False,CPU
-46,🧠🔁,Neural Network,[FastaiMLP (default)](https://arxiv.org/abs/2003.06505),971.0,+195/-285,0.032,42.86,38.41,31.994,8.78,0.688,✔️,0.0,False,CPU
-47,📏,Baseline,[Linear (tuned + ensembled)](https://scikit-learn.org/stable/modules/linear_model.html),969.0,+72/-243,0.0,42.93,41.93,39.676,913.1,0.738,✔️,0.0,False,CPU
-48,📏,Baseline,[Linear (tuned)](https://scikit-learn.org/stable/modules/linear_model.html),950.0,+90/-287,0.0,43.64,42.56,40.327,913.1,0.13,✔️,0.0,False,CPU
-49,🌳,Tree-based,[ExtraTrees (default)](https://link.springer.com/article/10.1007/s10994-006-6226-1),936.0,+172/-290,0.013,44.14,40.87,39.305,0.77,0.156,✔️,0.0,False,CPU
-50,📏,Baseline,[KNN (tuned)](https://scikit-learn.org/stable/modules/neighbors.html),842.0,+274/-769,0.072,47.0,39.41,47.681,180.38,0.136,✔️,0.0,False,CPU
-51,🧠⚡,Foundation Model,[TabFlex (default)](https://arxiv.org/abs/2506.05584),814.0,+44/-196,0.0,47.71,47.51,39.077,5.48,0.91,➖,0.0,False,GPU
-52,📏,Baseline,[Linear (default)](https://scikit-learn.org/stable/modules/linear_model.html),747.0,+91/-276,0.0,49.14,48.8,46.939,4.65,0.14,✔️,0.0,False,CPU
-53,📏,Baseline,[KNN (default)](https://scikit-learn.org/stable/modules/neighbors.html),-489.0,+398/-405,0.0,54.0,54.0,69.099,0.58,0.071,✔️,0.0,False,CPU
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+++ /dev/null
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-#,Type,TypeName,Model,Elo [⬆️],Elo 95% CI,Score [⬆️],Rank [⬇️],Harmonic Rank [⬇️],Improvability (%) [⬇️],Median Train Time (s/1K) [⬇️],Median Predict Time (s/1K) [⬇️],Verified,Imputed (%) [⬇️],Imputed,Hardware
-0,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned + ensembled)](https://arxiv.org/abs/2511.08667),1985.0,+819/-92,0.874,3.17,1.58,2.191,2793.65,8.93,✔️,0.0,False,GPU
-1,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned)](https://arxiv.org/abs/2511.08667),1838.0,+303/-74,0.726,5.58,4.21,12.495,2793.65,1.02,✔️,0.0,False,GPU
-2,📊,Reference Pipeline,"[AutoGluon 1.4 (extreme, 4h)](https://arxiv.org/abs/2003.06505)",1727.0,+326/-137,0.684,8.5,5.83,14.332,1295.16,14.354,✔️,0.0,False,GPU
-3,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (default)](https://arxiv.org/abs/2511.08667),1699.0,+521/-146,0.63,9.42,5.11,11.083,9.88,0.825,✔️,0.0,False,GPU
-4,🧠⚡,Foundation Model,[TabPFNv2 (tuned + ensembled)](https://www.nature.com/articles/s41586-024-08328-6),1668.0,+331/-107,0.592,10.5,5.33,14.698,3561.2,34.413,✔️,0.0,False,GPU
-5,🧠🔁,Neural Network,[LimiX (default)](https://arxiv.org/abs/2509.03505),1616.0,+349/-106,0.503,12.5,7.2,12.332,5.93,0.989,➖,0.0,False,GPU
-6,🧠🔁,Neural Network,[RealMLP (tuned + ensembled)](https://arxiv.org/abs/2407.04491),1604.0,+232/-93,0.529,13.0,4.49,16.24,4334.8,21.159,✔️,0.0,False,GPU
-7,🧠🔁,Neural Network,[Mitra (default)](https://arxiv.org/abs/2510.21204),1604.0,+181/-40,0.508,13.0,11.38,15.748,206.59,4.778,✔️,0.0,False,GPU
-8,🧠🔁,Neural Network,[RealMLP (tuned)](https://arxiv.org/abs/2407.04491),1567.0,+189/-61,0.465,14.67,13.1,16.59,4334.8,3.529,✔️,0.0,False,GPU
-9,🌳,Tree-based,[CatBoost (tuned + ensembled)](https://arxiv.org/abs/1706.09516),1506.0,+200/-100,0.376,17.67,14.64,17.857,3307.58,1.182,✔️,0.0,False,CPU
-10,🧠⚡,Foundation Model,[TabPFNv2 (tuned)](https://www.nature.com/articles/s41586-024-08328-6),1489.0,+288/-107,0.369,18.5,12.65,16.716,3561.2,0.612,✔️,0.0,False,GPU
-11,🧠⚡,Foundation Model,[TabPFNv2 (default)](https://www.nature.com/articles/s41586-024-08328-6),1486.0,+335/-131,0.385,18.67,11.14,14.808,5.48,0.434,✔️,0.0,False,GPU
-12,📊,Reference Pipeline,"[AutoGluon 1.4 (best, 4h)](https://arxiv.org/abs/2003.06505)",1477.0,+342/-144,0.402,19.17,4.67,18.377,6700.69,3.268,✔️,0.0,False,CPU
-13,🌳,Tree-based,[CatBoost (tuned)](https://arxiv.org/abs/1706.09516),1461.0,+178/-67,0.299,20.0,16.28,18.68,3307.58,0.108,✔️,0.0,False,CPU
-14,🧠⚡,Foundation Model,[SAP-RPT-OSS (default)](https://arxiv.org/abs/2506.10707),1433.0,+592/-306,0.488,21.5,6.49,22.111,21.84,1.394,➖,0.0,False,GPU
-15,🧠⚡,Foundation Model,[TabDPT (tuned + ensembled)](https://arxiv.org/abs/2410.18164),1430.0,+312/-243,0.375,21.67,10.03,22.477,9411.86,433.416,✔️,0.0,False,GPU
-16,🧠🔁,Neural Network,[TabM (tuned + ensembled)](https://arxiv.org/abs/2410.24210),1422.0,+263/-141,0.275,22.17,15.51,21.223,5568.31,1.781,✔️,0.0,False,GPU
-17,🌳,Tree-based,[XGBoost (tuned)](https://arxiv.org/abs/1603.02754),1405.0,+164/-47,0.209,23.17,21.97,19.816,2029.77,1.073,✔️,0.0,False,CPU
-18,🌳,Tree-based,[LightGBM (tuned + ensembled)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1402.0,+229/-82,0.213,23.33,16.53,19.85,1280.01,5.479,✔️,0.0,False,CPU
-19,🧠🔁,Neural Network,[TabM (tuned)](https://arxiv.org/abs/2410.24210),1399.0,+221/-145,0.263,23.5,15.15,21.671,5568.31,0.372,✔️,0.0,False,GPU
-20,🌳,Tree-based,[XGBoost (tuned + ensembled)](https://arxiv.org/abs/1603.02754),1399.0,+112/-36,0.191,23.5,22.92,20.228,2029.77,6.631,✔️,0.0,False,CPU
-21,🌳,Tree-based,[LightGBM (tuned)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1394.0,+265/-96,0.216,23.83,15.08,19.946,1280.01,1.143,✔️,0.0,False,CPU
-22,🧠🔁,Neural Network,[ModernNCA (tuned + ensembled)](https://arxiv.org/abs/2407.03257),1387.0,+180/-132,0.213,24.25,20.29,21.447,6829.34,7.818,✔️,0.0,False,GPU
-23,❓,Other,[xRFM (tuned + ensembled)](https://arxiv.org/abs/2508.10053),1382.0,+259/-209,0.241,24.5,19.06,20.929,2059.45,3.769,✔️,0.0,False,GPU
-24,🧠⚡,Foundation Model,[TabICL (default)](https://arxiv.org/abs/2502.05564),1369.0,+370/-235,0.293,25.33,6.95,22.95,13.87,2.152,✔️,0.0,False,GPU
-25,🧠🔁,Neural Network,[ModernNCA (tuned)](https://arxiv.org/abs/2407.03257),1367.0,+232/-176,0.168,25.42,20.34,21.793,6829.34,0.53,✔️,0.0,False,GPU
-26,🧠🔁,Neural Network,[TabM (default)](https://arxiv.org/abs/2410.24210),1346.0,+255/-174,0.224,26.67,14.13,24.08,17.09,0.145,✔️,0.0,False,GPU
-27,🧠⚡,Foundation Model,[TabDPT (tuned)](https://arxiv.org/abs/2410.18164),1343.0,+323/-276,0.318,26.83,4.99,23.608,9411.86,42.924,✔️,0.0,False,GPU
-28,🧠⚡,Foundation Model,[BetaTabPFN (default)](https://arxiv.org/abs/2502.02527),1309.0,+234/-162,0.189,28.83,21.41,23.403,410.08,4.104,➖,0.0,False,GPU
-29,🧠🔁,Neural Network,[FastaiMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1292.0,+336/-351,0.223,29.83,19.05,26.238,2721.87,14.595,✔️,0.0,False,CPU
-30,🌳,Tree-based,[CatBoost (default)](https://arxiv.org/abs/1706.09516),1287.0,+129/-116,0.107,30.17,27.74,22.348,155.57,0.254,✔️,0.0,False,CPU
-31,❓,Other,[xRFM (tuned)](https://arxiv.org/abs/2508.10053),1270.0,+286/-229,0.143,31.17,22.23,22.852,2059.45,0.127,✔️,0.0,False,GPU
-32,🌳,Tree-based,[EBM (tuned + ensembled)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1264.0,+194/-149,0.115,31.5,23.88,25.058,27108.48,0.742,✔️,0.0,False,CPU
-33,🧠🔁,Neural Network,[TorchMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1253.0,+196/-195,0.114,32.17,28.09,25.243,4370.77,2.162,✔️,0.0,False,CPU
-34,🌳,Tree-based,[ExtraTrees (tuned + ensembled)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1238.0,+248/-283,0.117,33.0,25.98,26.005,728.32,2.548,✔️,0.0,False,CPU
-35,🧠⚡,Foundation Model,[TabDPT (default)](https://arxiv.org/abs/2410.18164),1227.0,+379/-376,0.285,33.67,8.76,27.727,42.75,45.46,✔️,0.0,False,GPU
-36,🌳,Tree-based,[RandomForest (tuned + ensembled)](https://link.springer.com/article/10.1023/A:1010933404324),1210.0,+334/-355,0.146,34.67,20.47,25.893,729.17,2.154,✔️,0.0,False,CPU
-37,🌳,Tree-based,[ExtraTrees (tuned)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1205.0,+263/-259,0.1,35.0,26.53,25.765,728.32,0.356,✔️,0.0,False,CPU
-38,🧠🔁,Neural Network,[RealMLP (default)](https://arxiv.org/abs/2407.04491),1182.0,+162/-209,0.085,36.33,31.71,25.981,19.2,6.922,✔️,0.0,False,GPU
-39,🌳,Tree-based,[EBM (tuned)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1182.0,+160/-204,0.075,36.33,31.9,26.917,27108.48,0.066,✔️,0.0,False,CPU
-40,🌳,Tree-based,[XGBoost (default)](https://arxiv.org/abs/1603.02754),1176.0,+71/-116,0.0,36.67,35.78,24.783,4.93,0.671,✔️,0.0,False,CPU
-41,🌳,Tree-based,[EBM (default)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1173.0,+142/-204,0.038,36.83,34.87,27.166,11.78,0.099,✔️,0.0,False,CPU
-42,🌳,Tree-based,[LightGBM (default)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1155.0,+186/-181,0.053,37.83,33.78,26.155,5.12,0.444,✔️,0.0,False,CPU
-43,🧠🔁,Neural Network,[FastaiMLP (tuned)](https://arxiv.org/abs/2003.06505),1149.0,+268/-333,0.108,38.17,29.05,28.736,2721.87,1.334,✔️,0.0,False,CPU
-44,❓,Other,[xRFM (default)](https://arxiv.org/abs/2508.10053),1149.0,+225/-269,0.074,38.17,32.2,28.727,8.99,1.498,✔️,0.0,False,GPU
-45,🧠🔁,Neural Network,[TorchMLP (tuned)](https://arxiv.org/abs/2003.06505),1139.0,+123/-136,0.009,38.67,36.91,27.899,4370.77,0.22,✔️,0.0,False,CPU
-46,🌳,Tree-based,[RandomForest (tuned)](https://link.springer.com/article/10.1023/A:1010933404324),1133.0,+254/-292,0.095,39.0,26.77,27.785,729.17,0.337,✔️,0.0,False,CPU
-47,🧠🔁,Neural Network,[ModernNCA (default)](https://arxiv.org/abs/2407.03257),1117.0,+145/-209,0.01,39.83,37.58,29.623,17.24,0.42,✔️,0.0,False,GPU
-48,🌳,Tree-based,[RandomForest (default)](https://link.springer.com/article/10.1023/A:1010933404324),1000.0,+140/-390,0.0,45.33,43.69,37.954,0.74,0.148,✔️,0.0,False,CPU
-49,📏,Baseline,[Linear (tuned + ensembled)](https://scikit-learn.org/stable/modules/linear_model.html),976.0,+75/-309,0.0,46.33,45.57,38.521,909.67,0.893,✔️,0.0,False,CPU
-50,📏,Baseline,[Linear (tuned)](https://scikit-learn.org/stable/modules/linear_model.html),958.0,+93/-290,0.0,47.0,46.03,39.28,909.67,0.107,✔️,0.0,False,CPU
-51,🧠🔁,Neural Network,[FastaiMLP (default)](https://arxiv.org/abs/2003.06505),958.0,+222/-468,0.029,47.0,42.52,34.491,8.37,0.685,✔️,0.0,False,CPU
-52,📏,Baseline,[KNN (tuned + ensembled)](https://scikit-learn.org/stable/modules/neighbors.html),940.0,+269/-584,0.037,47.67,40.86,41.716,155.52,1.033,✔️,0.0,False,CPU
-53,🌳,Tree-based,[ExtraTrees (default)](https://link.springer.com/article/10.1007/s10994-006-6226-1),936.0,+247/-400,0.004,47.83,44.23,39.387,0.76,0.153,✔️,0.0,False,CPU
-54,🧠🔁,Neural Network,[TorchMLP (default)](https://arxiv.org/abs/2003.06505),922.0,+94/-257,0.0,48.33,47.86,35.184,14.57,0.363,✔️,0.0,False,CPU
-55,🧠⚡,Foundation Model,[TabFlex (default)](https://arxiv.org/abs/2506.05584),753.0,+61/-325,0.0,53.0,52.79,44.164,4.67,0.855,➖,0.0,False,GPU
-56,📏,Baseline,[Linear (default)](https://scikit-learn.org/stable/modules/linear_model.html),728.0,+119/-375,0.0,53.5,53.2,44.545,4.62,0.135,✔️,0.0,False,CPU
-57,📏,Baseline,[KNN (tuned)](https://scikit-learn.org/stable/modules/neighbors.html),396.0,+125/-910,0.0,57.17,57.13,55.52,155.52,0.12,✔️,0.0,False,CPU
-58,📏,Baseline,[KNN (default)](https://scikit-learn.org/stable/modules/neighbors.html),-404.0,+186/-922,0.0,59.0,59.0,70.032,0.52,0.058,✔️,0.0,False,CPU
diff --git a/data/imputation_no/splits_lite/tasks_multiclass/datasets_tabpfn/winrate_matrix.png.zip b/data/imputation_no/splits_lite/tasks_multiclass/datasets_tabpfn/winrate_matrix.png.zip
deleted file mode 100644
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--- a/data/imputation_no/splits_lite/tasks_multiclass/datasets_tabpfn/winrate_matrix.png.zip
+++ /dev/null
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diff --git a/data/imputation_no/splits_lite/tasks_regression/datasets_all/n_datasets_13 b/data/imputation_no/splits_lite/tasks_regression/datasets_all/n_datasets_13
deleted file mode 100644
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diff --git a/data/imputation_no/splits_lite/tasks_regression/datasets_all/pareto_front_improvability_vs_time_infer.png.zip b/data/imputation_no/splits_lite/tasks_regression/datasets_all/pareto_front_improvability_vs_time_infer.png.zip
deleted file mode 100644
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--- a/data/imputation_no/splits_lite/tasks_regression/datasets_all/pareto_front_improvability_vs_time_infer.png.zip
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deleted file mode 100644
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diff --git a/data/imputation_no/splits_lite/tasks_regression/datasets_all/tuning-impact-elo.png.zip b/data/imputation_no/splits_lite/tasks_regression/datasets_all/tuning-impact-elo.png.zip
deleted file mode 100644
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diff --git a/data/imputation_no/splits_lite/tasks_regression/datasets_all/website_leaderboard.csv b/data/imputation_no/splits_lite/tasks_regression/datasets_all/website_leaderboard.csv
deleted file mode 100644
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--- a/data/imputation_no/splits_lite/tasks_regression/datasets_all/website_leaderboard.csv
+++ /dev/null
@@ -1,53 +0,0 @@
-#,Type,TypeName,Model,Elo [⬆️],Elo 95% CI,Score [⬆️],Rank [⬇️],Harmonic Rank [⬇️],Improvability (%) [⬇️],Median Train Time (s/1K) [⬇️],Median Predict Time (s/1K) [⬇️],Verified,Imputed (%) [⬇️],Imputed,Hardware
-0,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned + ensembled)](https://arxiv.org/abs/2511.08667),1916.0,+309/-174,0.803,5.23,2.41,1.161,2043.44,8.369,✔️,0.0,False,GPU
-1,📊,Reference Pipeline,"[AutoGluon 1.4 (extreme, 4h)](https://arxiv.org/abs/2003.06505)",1840.0,+146/-63,0.65,7.0,3.96,2.562,616.43,4.041,✔️,0.0,False,GPU
-2,🧠⚡,Foundation Model,[TabDPT (tuned + ensembled)](https://arxiv.org/abs/2410.18164),1840.0,+253/-96,0.731,7.0,2.3,2.472,7125.58,336.907,✔️,0.0,False,GPU
-3,🧠⚡,Foundation Model,[TabDPT (tuned)](https://arxiv.org/abs/2410.18164),1806.0,+176/-81,0.678,7.92,3.81,2.973,7125.58,38.573,✔️,0.0,False,GPU
-4,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned)](https://arxiv.org/abs/2511.08667),1792.0,+223/-156,0.677,8.31,3.34,2.101,2043.44,0.781,✔️,0.0,False,GPU
-5,📊,Reference Pipeline,"[AutoGluon 1.4 (best, 4h)](https://arxiv.org/abs/2003.06505)",1742.0,+105/-66,0.54,9.85,5.56,4.699,1489.94,5.79,✔️,0.0,False,CPU
-6,🧠🔁,Neural Network,[RealMLP (tuned + ensembled)](https://arxiv.org/abs/2407.04491),1740.0,+110/-61,0.577,9.92,8.21,4.174,4057.12,10.478,✔️,0.0,False,GPU
-7,🧠⚡,Foundation Model,[TabDPT (default)](https://arxiv.org/abs/2410.18164),1677.0,+174/-88,0.546,12.08,6.31,4.157,44.65,38.298,✔️,0.0,False,GPU
-8,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (default)](https://arxiv.org/abs/2511.08667),1677.0,+210/-174,0.538,12.08,6.74,3.576,6.94,0.519,✔️,0.0,False,GPU
-9,🧠🔁,Neural Network,[ModernNCA (tuned + ensembled)](https://arxiv.org/abs/2407.03257),1648.0,+157/-143,0.508,13.15,5.47,6.669,3811.43,7.581,✔️,0.0,False,GPU
-10,🧠🔁,Neural Network,[RealMLP (tuned)](https://arxiv.org/abs/2407.04491),1603.0,+146/-131,0.436,14.92,10.53,5.331,4057.12,0.337,✔️,0.0,False,GPU
-11,🌳,Tree-based,[LightGBM (tuned + ensembled)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1596.0,+97/-56,0.331,15.23,12.9,7.3,686.46,5.477,✔️,0.0,False,CPU
-12,🌳,Tree-based,[CatBoost (tuned + ensembled)](https://arxiv.org/abs/1706.09516),1570.0,+91/-68,0.293,16.31,12.42,7.083,2895.38,1.317,✔️,0.0,False,CPU
-13,❓,Other,[xRFM (tuned + ensembled)](https://arxiv.org/abs/2508.10053),1550.0,+129/-89,0.364,17.15,13.46,6.477,708.95,1.973,✔️,0.0,False,GPU
-14,🧠🔁,Neural Network,[TabM (tuned + ensembled)](https://arxiv.org/abs/2410.24210),1538.0,+128/-102,0.315,17.69,13.7,5.748,4228.53,1.188,✔️,0.0,False,GPU
-15,🌳,Tree-based,[CatBoost (tuned)](https://arxiv.org/abs/1706.09516),1529.0,+124/-96,0.272,18.08,9.95,7.207,2895.38,0.073,✔️,0.0,False,CPU
-16,🧠🔁,Neural Network,[LimiX (default)](https://arxiv.org/abs/2509.03505),1504.0,+228/-208,0.407,19.15,5.03,13.045,5.49,0.754,➖,0.0,False,GPU
-17,🌳,Tree-based,[LightGBM (tuned)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1503.0,+109/-88,0.237,19.23,15.54,8.098,686.46,0.743,✔️,0.0,False,CPU
-18,❓,Other,[xRFM (tuned)](https://arxiv.org/abs/2508.10053),1492.0,+115/-73,0.266,19.69,16.44,7.042,708.95,0.069,✔️,0.0,False,GPU
-19,🌳,Tree-based,[XGBoost (tuned)](https://arxiv.org/abs/1603.02754),1461.0,+60/-54,0.179,21.08,19.67,8.021,848.99,0.475,✔️,0.0,False,CPU
-20,🌳,Tree-based,[XGBoost (tuned + ensembled)](https://arxiv.org/abs/1603.02754),1459.0,+61/-49,0.179,21.15,20.12,8.036,848.99,2.378,✔️,0.0,False,CPU
-21,🧠🔁,Neural Network,[ModernNCA (default)](https://arxiv.org/abs/2407.03257),1447.0,+107/-89,0.206,21.69,19.02,9.327,16.07,0.29,✔️,0.0,False,GPU
-22,🧠🔁,Neural Network,[TabM (tuned)](https://arxiv.org/abs/2410.24210),1434.0,+131/-93,0.2,22.31,18.96,6.582,4228.53,0.125,✔️,0.0,False,GPU
-23,🧠🔁,Neural Network,[ModernNCA (tuned)](https://arxiv.org/abs/2407.03257),1423.0,+143/-141,0.264,22.77,14.12,9.198,3811.43,0.452,✔️,0.0,False,GPU
-24,🌳,Tree-based,[CatBoost (default)](https://arxiv.org/abs/1706.09516),1417.0,+116/-137,0.18,23.08,18.4,9.171,8.35,0.087,✔️,0.0,False,CPU
-25,🧠🔁,Neural Network,[TabM (default)](https://arxiv.org/abs/2410.24210),1350.0,+128/-127,0.138,26.15,23.01,8.245,13.9,0.123,✔️,0.0,False,GPU
-26,🧠⚡,Foundation Model,[SAP-RPT-OSS (default)](https://arxiv.org/abs/2506.10707),1330.0,+197/-174,0.189,27.08,14.52,9.57,18.76,6.542,➖,0.0,False,GPU
-27,🧠🔁,Neural Network,[RealMLP (default)](https://arxiv.org/abs/2407.04491),1301.0,+133/-114,0.085,28.38,24.35,10.088,9.17,1.416,✔️,0.0,False,GPU
-28,🧠🔁,Neural Network,[TorchMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1290.0,+100/-102,0.082,28.85,26.3,9.416,4452.11,0.852,✔️,0.0,False,CPU
-29,🌳,Tree-based,[ExtraTrees (tuned + ensembled)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1290.0,+129/-112,0.097,28.85,23.85,12.273,161.73,0.784,✔️,0.0,False,CPU
-30,🌳,Tree-based,[ExtraTrees (tuned)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1267.0,+129/-115,0.11,29.85,23.81,12.586,161.73,0.12,✔️,0.0,False,CPU
-31,🧠🔁,Neural Network,[TorchMLP (tuned)](https://arxiv.org/abs/2003.06505),1237.0,+121/-131,0.067,31.15,27.85,10.034,4452.11,0.089,✔️,0.0,False,CPU
-32,❓,Other,[xRFM (default)](https://arxiv.org/abs/2508.10053),1237.0,+175/-167,0.076,31.15,14.67,12.917,2.47,0.755,✔️,0.0,False,GPU
-33,🌳,Tree-based,[LightGBM (default)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1217.0,+72/-95,0.019,32.0,30.98,10.917,2.03,0.296,✔️,0.0,False,CPU
-34,🌳,Tree-based,[EBM (tuned + ensembled)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1208.0,+155/-195,0.12,32.38,21.51,13.421,3017.28,0.248,✔️,0.0,False,CPU
-35,🌳,Tree-based,[XGBoost (default)](https://arxiv.org/abs/1603.02754),1184.0,+96/-119,0.054,33.38,30.95,11.634,2.15,0.18,✔️,0.0,False,CPU
-36,🌳,Tree-based,[RandomForest (tuned + ensembled)](https://link.springer.com/article/10.1023/A:1010933404324),1177.0,+77/-116,0.017,33.69,31.85,13.249,526.17,0.77,✔️,0.0,False,CPU
-37,🌳,Tree-based,[EBM (tuned)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1158.0,+152/-199,0.12,34.46,15.43,13.982,3017.28,0.027,✔️,0.0,False,CPU
-38,🌳,Tree-based,[RandomForest (tuned)](https://link.springer.com/article/10.1023/A:1010933404324),1135.0,+92/-128,0.015,35.35,33.55,14.003,526.17,0.119,✔️,0.0,False,CPU
-39,🌳,Tree-based,[ExtraTrees (default)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1112.0,+102/-114,0.018,36.23,34.07,14.183,0.42,0.061,✔️,0.0,False,CPU
-40,🧠🔁,Neural Network,[FastaiMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1078.0,+78/-110,0.002,37.46,36.4,14.282,527.21,2.831,✔️,0.0,False,CPU
-41,🌳,Tree-based,[EBM (default)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1035.0,+119/-166,0.049,38.92,36.54,15.082,10.04,0.03,✔️,0.0,False,CPU
-42,🧠🔁,Neural Network,[TorchMLP (default)](https://arxiv.org/abs/2003.06505),1033.0,+85/-140,0.0,39.0,37.51,14.125,20.5,0.081,✔️,0.0,False,CPU
-43,🧠🔁,Neural Network,[FastaiMLP (tuned)](https://arxiv.org/abs/2003.06505),1030.0,+94/-114,0.0,39.08,38.03,14.768,527.21,0.311,✔️,0.0,False,CPU
-44,🌳,Tree-based,[RandomForest (default)](https://link.springer.com/article/10.1023/A:1010933404324),1000.0,+70/-94,0.0,40.04,39.62,15.317,0.63,0.064,✔️,0.0,False,CPU
-45,🧠🔁,Neural Network,[FastaiMLP (default)](https://arxiv.org/abs/2003.06505),885.0,+99/-160,0.0,43.15,42.5,18.821,3.08,0.293,✔️,0.0,False,CPU
-46,📏,Baseline,[KNN (tuned + ensembled)](https://scikit-learn.org/stable/modules/neighbors.html),875.0,+126/-173,0.0,43.38,42.61,20.298,90.87,0.906,✔️,0.0,False,CPU
-47,📏,Baseline,[KNN (tuned)](https://scikit-learn.org/stable/modules/neighbors.html),706.0,+106/-188,0.0,46.54,46.39,22.447,90.87,0.055,✔️,0.0,False,CPU
-48,📏,Baseline,[KNN (default)](https://scikit-learn.org/stable/modules/neighbors.html),566.0,+202/-341,0.0,48.31,47.88,29.125,0.25,0.044,✔️,0.0,False,CPU
-49,📏,Baseline,[Linear (tuned + ensembled)](https://scikit-learn.org/stable/modules/linear_model.html),432.0,+109/-319,0.0,49.58,49.52,36.211,177.04,0.14,✔️,0.0,False,CPU
-50,📏,Baseline,[Linear (tuned)](https://scikit-learn.org/stable/modules/linear_model.html),344.0,+144/-396,0.0,50.27,50.2,36.396,177.04,0.059,✔️,0.0,False,CPU
-51,📏,Baseline,[Linear (default)](https://scikit-learn.org/stable/modules/linear_model.html),193.0,+133/-321,0.0,51.23,51.22,38.856,0.88,0.109,✔️,0.0,False,CPU
diff --git a/data/imputation_no/splits_lite/tasks_regression/datasets_all/winrate_matrix.png.zip b/data/imputation_no/splits_lite/tasks_regression/datasets_all/winrate_matrix.png.zip
deleted file mode 100644
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--- a/data/imputation_no/splits_lite/tasks_regression/datasets_all/winrate_matrix.png.zip
+++ /dev/null
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deleted file mode 100644
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diff --git a/data/imputation_no/splits_lite/tasks_regression/datasets_medium/pareto_front_improvability_vs_time_infer.png.zip b/data/imputation_no/splits_lite/tasks_regression/datasets_medium/pareto_front_improvability_vs_time_infer.png.zip
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diff --git a/data/imputation_no/splits_lite/tasks_regression/datasets_medium/website_leaderboard.csv b/data/imputation_no/splits_lite/tasks_regression/datasets_medium/website_leaderboard.csv
deleted file mode 100644
index f9b0f8f9009f7ede0577dbfc4e85a81676205597..0000000000000000000000000000000000000000
--- a/data/imputation_no/splits_lite/tasks_regression/datasets_medium/website_leaderboard.csv
+++ /dev/null
@@ -1,53 +0,0 @@
-#,Type,TypeName,Model,Elo [⬆️],Elo 95% CI,Score [⬆️],Rank [⬇️],Harmonic Rank [⬇️],Improvability (%) [⬇️],Median Train Time (s/1K) [⬇️],Median Predict Time (s/1K) [⬇️],Verified,Imputed (%) [⬇️],Imputed,Hardware
-0,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned + ensembled)](https://arxiv.org/abs/2511.08667),2034.0,+922/-55,0.839,4.4,3.24,1.163,739.1,11.65,✔️,0.0,False,GPU
-1,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned)](https://arxiv.org/abs/2511.08667),2001.0,+923/-105,0.841,5.0,2.74,1.262,739.1,0.689,✔️,0.0,False,GPU
-2,🧠🔁,Neural Network,[ModernNCA (tuned + ensembled)](https://arxiv.org/abs/2407.03257),1924.0,+642/-41,0.707,6.6,5.71,2.284,2552.28,4.522,✔️,0.0,False,GPU
-3,📊,Reference Pipeline,"[AutoGluon 1.4 (best, 4h)](https://arxiv.org/abs/2003.06505)",1883.0,+581/-12,0.661,7.6,3.42,3.209,474.94,11.837,✔️,0.0,False,CPU
-4,📊,Reference Pipeline,"[AutoGluon 1.4 (extreme, 4h)](https://arxiv.org/abs/2003.06505)",1853.0,+654/-28,0.618,8.4,6.13,3.513,400.37,2.16,✔️,0.0,False,GPU
-5,🧠🔁,Neural Network,[RealMLP (tuned + ensembled)](https://arxiv.org/abs/2407.04491),1846.0,+767/-85,0.648,8.6,6.91,2.851,2068.17,1.355,✔️,0.0,False,GPU
-6,🧠⚡,Foundation Model,[TabDPT (tuned + ensembled)](https://arxiv.org/abs/2410.18164),1797.0,+975/-163,0.69,10.0,2.25,2.083,4529.88,357.209,✔️,0.0,False,GPU
-7,🧠⚡,Foundation Model,[TabDPT (tuned)](https://arxiv.org/abs/2410.18164),1765.0,+911/-166,0.654,11.0,4.14,2.39,4529.88,39.544,✔️,0.0,False,GPU
-8,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (default)](https://arxiv.org/abs/2511.08667),1759.0,+894/-242,0.556,11.2,6.42,2.625,1.59,0.506,✔️,0.0,False,GPU
-9,🧠🔁,Neural Network,[RealMLP (tuned)](https://arxiv.org/abs/2407.04491),1666.0,+707/-190,0.489,14.4,10.08,4.112,2068.17,0.068,✔️,0.0,False,GPU
-10,🌳,Tree-based,[LightGBM (tuned + ensembled)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1649.0,+507/-132,0.386,15.0,11.94,5.836,223.05,9.707,✔️,0.0,False,CPU
-11,🧠🔁,Neural Network,[ModernNCA (tuned)](https://arxiv.org/abs/2407.03257),1649.0,+700/-222,0.474,15.0,11.66,4.058,2552.28,0.201,✔️,0.0,False,GPU
-12,🧠⚡,Foundation Model,[TabDPT (default)](https://arxiv.org/abs/2410.18164),1644.0,+794/-200,0.533,15.2,6.22,3.203,41.5,38.298,✔️,0.0,False,GPU
-13,🌳,Tree-based,[LightGBM (tuned)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1633.0,+559/-100,0.358,15.6,12.08,6.007,223.05,0.793,✔️,0.0,False,CPU
-14,❓,Other,[xRFM (tuned + ensembled)](https://arxiv.org/abs/2508.10053),1622.0,+581/-74,0.433,16.0,13.61,4.481,438.55,0.52,✔️,0.0,False,GPU
-15,🌳,Tree-based,[CatBoost (tuned + ensembled)](https://arxiv.org/abs/1706.09516),1617.0,+561/-93,0.312,16.2,10.68,6.235,1696.82,0.538,✔️,0.0,False,CPU
-16,🧠🔁,Neural Network,[TabM (tuned + ensembled)](https://arxiv.org/abs/2410.24210),1590.0,+730/-206,0.343,17.2,12.6,5.187,3456.17,0.611,✔️,0.0,False,GPU
-17,🌳,Tree-based,[CatBoost (tuned)](https://arxiv.org/abs/1706.09516),1564.0,+548/-151,0.29,18.2,7.27,6.475,1696.82,0.055,✔️,0.0,False,CPU
-18,❓,Other,[xRFM (tuned)](https://arxiv.org/abs/2508.10053),1533.0,+484/-92,0.272,19.4,17.89,5.477,438.55,0.035,✔️,0.0,False,GPU
-19,🧠🔁,Neural Network,[ModernNCA (default)](https://arxiv.org/abs/2407.03257),1528.0,+545/-151,0.295,19.6,17.32,5.3,6.87,0.098,✔️,0.0,False,GPU
-20,🧠🔁,Neural Network,[LimiX (default)](https://arxiv.org/abs/2509.03505),1518.0,+706/-196,0.316,20.0,4.21,4.7,2.07,0.754,➖,0.0,False,GPU
-21,🌳,Tree-based,[CatBoost (default)](https://arxiv.org/abs/1706.09516),1492.0,+542/-270,0.28,21.0,16.83,7.061,4.99,0.047,✔️,0.0,False,CPU
-22,🧠🔁,Neural Network,[TabM (tuned)](https://arxiv.org/abs/2410.24210),1482.0,+582/-167,0.196,21.4,19.92,6.188,3456.17,0.037,✔️,0.0,False,GPU
-23,🌳,Tree-based,[XGBoost (tuned + ensembled)](https://arxiv.org/abs/1603.02754),1471.0,+322/-53,0.203,21.8,21.03,6.853,289.35,1.798,✔️,0.0,False,CPU
-24,🌳,Tree-based,[XGBoost (tuned)](https://arxiv.org/abs/1603.02754),1461.0,+336/-66,0.196,22.2,21.22,6.921,289.35,0.36,✔️,0.0,False,CPU
-25,🧠🔁,Neural Network,[TabM (default)](https://arxiv.org/abs/2410.24210),1415.0,+648/-201,0.137,24.0,21.66,7.402,5.37,0.025,✔️,0.0,False,GPU
-26,🌳,Tree-based,[XGBoost (default)](https://arxiv.org/abs/1603.02754),1331.0,+404/-207,0.14,27.2,24.88,8.025,0.57,0.074,✔️,0.0,False,CPU
-27,❓,Other,[xRFM (default)](https://arxiv.org/abs/2508.10053),1288.0,+318/-106,0.006,28.8,27.84,8.909,2.32,0.093,✔️,0.0,False,GPU
-28,🌳,Tree-based,[LightGBM (default)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1283.0,+418/-166,0.03,29.0,28.27,8.225,0.66,0.213,✔️,0.0,False,CPU
-29,🧠🔁,Neural Network,[TorchMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1261.0,+222/-185,0.067,29.8,27.82,8.161,4108.24,0.479,✔️,0.0,False,CPU
-30,🧠🔁,Neural Network,[RealMLP (default)](https://arxiv.org/abs/2407.04491),1234.0,+491/-233,0.028,30.8,28.77,9.603,6.54,0.284,✔️,0.0,False,GPU
-31,🧠🔁,Neural Network,[TorchMLP (tuned)](https://arxiv.org/abs/2003.06505),1212.0,+198/-242,0.032,31.6,29.67,9.253,4108.24,0.037,✔️,0.0,False,CPU
-32,🌳,Tree-based,[ExtraTrees (tuned + ensembled)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1166.0,+346/-383,0.034,33.2,31.32,10.288,35.47,0.502,✔️,0.0,False,CPU
-33,🌳,Tree-based,[ExtraTrees (tuned)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1137.0,+305/-327,0.017,34.2,32.95,10.454,35.47,0.054,✔️,0.0,False,CPU
-34,🧠⚡,Foundation Model,[SAP-RPT-OSS (default)](https://arxiv.org/abs/2506.10707),1137.0,+446/-460,0.121,34.2,25.03,10.329,8.68,7.525,➖,0.0,False,GPU
-35,🌳,Tree-based,[EBM (tuned + ensembled)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1131.0,+406/-883,0.147,34.4,26.06,13.625,1820.58,0.133,✔️,0.0,False,CPU
-36,🌳,Tree-based,[RandomForest (tuned + ensembled)](https://link.springer.com/article/10.1023/A:1010933404324),1131.0,+95/-238,0.0,34.4,34.11,10.053,79.96,0.571,✔️,0.0,False,CPU
-37,🌳,Tree-based,[RandomForest (tuned)](https://link.springer.com/article/10.1023/A:1010933404324),1122.0,+109/-229,0.0,34.7,34.23,10.217,79.96,0.053,✔️,0.0,False,CPU
-38,🧠🔁,Neural Network,[TorchMLP (default)](https://arxiv.org/abs/2003.06505),1050.0,+152/-316,0.0,37.0,35.77,13.469,14.05,0.029,✔️,0.0,False,CPU
-39,🌳,Tree-based,[ExtraTrees (default)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1024.0,+376/-520,0.017,37.8,35.52,12.12,0.18,0.054,✔️,0.0,False,CPU
-40,🌳,Tree-based,[EBM (tuned)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1010.0,+309/-975,0.104,38.2,35.39,14.242,1820.58,0.012,✔️,0.0,False,CPU
-41,🌳,Tree-based,[RandomForest (default)](https://link.springer.com/article/10.1023/A:1010933404324),1000.0,+63/-264,0.0,38.5,38.32,11.35,0.42,0.053,✔️,0.0,False,CPU
-42,🌳,Tree-based,[EBM (default)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),982.0,+354/-1020,0.124,39.0,35.12,14.681,3.47,0.01,✔️,0.0,False,CPU
-43,🧠🔁,Neural Network,[FastaiMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),864.0,+81/-736,0.0,42.0,41.71,14.269,317.48,0.719,✔️,0.0,False,CPU
-44,🧠🔁,Neural Network,[FastaiMLP (tuned)](https://arxiv.org/abs/2003.06505),836.0,+84/-773,0.0,42.6,42.32,14.827,317.48,0.127,✔️,0.0,False,CPU
-45,📏,Baseline,[KNN (tuned + ensembled)](https://scikit-learn.org/stable/modules/neighbors.html),807.0,+90/-732,0.0,43.2,42.98,18.666,142.18,1.027,✔️,0.0,False,CPU
-46,🧠🔁,Neural Network,[FastaiMLP (default)](https://arxiv.org/abs/2003.06505),664.0,+109/-823,0.0,45.6,45.3,18.199,1.33,0.126,✔️,0.0,False,CPU
-47,📏,Baseline,[KNN (tuned)](https://scikit-learn.org/stable/modules/neighbors.html),649.0,+52/-837,0.0,45.8,45.73,21.083,142.18,0.057,✔️,0.0,False,CPU
-48,📏,Baseline,[KNN (default)](https://scikit-learn.org/stable/modules/neighbors.html),344.0,+125/-1382,0.0,48.6,48.5,28.294,0.06,0.036,✔️,0.0,False,CPU
-49,📏,Baseline,[Linear (tuned + ensembled)](https://scikit-learn.org/stable/modules/linear_model.html),133.0,+78/-1763,0.0,49.8,49.8,39.482,48.35,0.054,✔️,0.0,False,CPU
-50,📏,Baseline,[Linear (tuned)](https://scikit-learn.org/stable/modules/linear_model.html),-121.0,+166/-2493,0.0,51.0,50.99,39.829,48.35,0.013,✔️,0.0,False,CPU
-51,📏,Baseline,[Linear (default)](https://scikit-learn.org/stable/modules/linear_model.html),-274.0,+170/-3339,0.0,51.6,51.6,42.789,0.13,0.02,✔️,0.0,False,CPU
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-#,Type,TypeName,Model,Elo [⬆️],Elo 95% CI,Score [⬆️],Rank [⬇️],Harmonic Rank [⬇️],Improvability (%) [⬇️],Median Train Time (s/1K) [⬇️],Median Predict Time (s/1K) [⬇️],Verified,Imputed (%) [⬇️],Imputed,Hardware
-0,🧠⚡,Foundation Model,[TabDPT (tuned + ensembled)](https://arxiv.org/abs/2410.18164),1942.0,+276/-124,0.757,5.12,2.34,2.715,9830.47,232.266,✔️,0.0,False,GPU
-1,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned + ensembled)](https://arxiv.org/abs/2511.08667),1912.0,+495/-226,0.78,5.75,2.08,1.16,2355.62,7.55,✔️,0.0,False,GPU
-2,🧠⚡,Foundation Model,[TabDPT (tuned)](https://arxiv.org/abs/2410.18164),1900.0,+199/-51,0.693,6.0,3.63,3.338,9830.47,22.221,✔️,0.0,False,GPU
-3,📊,Reference Pipeline,"[AutoGluon 1.4 (extreme, 4h)](https://arxiv.org/abs/2003.06505)",1895.0,+311/-98,0.67,6.12,3.24,1.968,716.17,4.181,✔️,0.0,False,GPU
-4,🧠⚡,Foundation Model,[TabDPT (default)](https://arxiv.org/abs/2410.18164),1750.0,+164/-70,0.554,10.12,6.38,4.753,51.27,43.085,✔️,0.0,False,GPU
-5,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned)](https://arxiv.org/abs/2511.08667),1742.0,+347/-200,0.575,10.38,3.87,2.625,2355.62,0.879,✔️,0.0,False,GPU
-6,🧠🔁,Neural Network,[RealMLP (tuned + ensembled)](https://arxiv.org/abs/2407.04491),1731.0,+155/-68,0.533,10.75,9.3,5.0,4918.07,35.607,✔️,0.0,False,GPU
-7,📊,Reference Pipeline,"[AutoGluon 1.4 (best, 4h)](https://arxiv.org/abs/2003.06505)",1717.0,+173/-67,0.464,11.25,9.14,5.631,4919.72,5.372,✔️,0.0,False,CPU
-8,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (default)](https://arxiv.org/abs/2511.08667),1680.0,+346/-214,0.526,12.62,6.96,4.17,8.24,0.532,✔️,0.0,False,GPU
-9,🧠🔁,Neural Network,[RealMLP (tuned)](https://arxiv.org/abs/2407.04491),1612.0,+207/-119,0.403,15.25,10.84,6.092,4918.07,0.949,✔️,0.0,False,GPU
-10,🌳,Tree-based,[LightGBM (tuned + ensembled)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1609.0,+127/-78,0.296,15.38,13.59,8.215,1206.7,4.573,✔️,0.0,False,CPU
-11,🌳,Tree-based,[CatBoost (tuned + ensembled)](https://arxiv.org/abs/1706.09516),1585.0,+146/-76,0.281,16.38,13.83,7.613,3495.99,1.462,✔️,0.0,False,CPU
-12,🧠🔁,Neural Network,[ModernNCA (tuned + ensembled)](https://arxiv.org/abs/2407.03257),1564.0,+197/-135,0.384,17.25,5.33,9.41,9006.35,8.016,✔️,0.0,False,GPU
-13,❓,Other,[xRFM (tuned + ensembled)](https://arxiv.org/abs/2508.10053),1550.0,+166/-103,0.321,17.88,13.36,7.724,1672.82,2.447,✔️,0.0,False,GPU
-14,🧠🔁,Neural Network,[TabM (tuned + ensembled)](https://arxiv.org/abs/2410.24210),1547.0,+182/-112,0.298,18.0,14.5,6.098,4322.16,1.598,✔️,0.0,False,GPU
-15,🌳,Tree-based,[CatBoost (tuned)](https://arxiv.org/abs/1706.09516),1547.0,+224/-101,0.261,18.0,12.93,7.664,3495.99,0.148,✔️,0.0,False,CPU
-16,🧠🔁,Neural Network,[LimiX (default)](https://arxiv.org/abs/2509.03505),1533.0,+438/-274,0.463,18.62,5.73,18.26,5.86,0.71,➖,0.0,False,GPU
-17,❓,Other,[xRFM (tuned)](https://arxiv.org/abs/2508.10053),1506.0,+140/-83,0.261,19.88,15.64,8.02,1672.82,0.097,✔️,0.0,False,GPU
-18,🌳,Tree-based,[XGBoost (tuned)](https://arxiv.org/abs/1603.02754),1495.0,+100/-59,0.169,20.38,18.8,8.708,1277.27,0.648,✔️,0.0,False,CPU
-19,🌳,Tree-based,[XGBoost (tuned + ensembled)](https://arxiv.org/abs/1603.02754),1487.0,+96/-46,0.164,20.75,19.6,8.776,1277.27,3.746,✔️,0.0,False,CPU
-20,🌳,Tree-based,[LightGBM (tuned)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1471.0,+134/-94,0.162,21.5,18.91,9.405,1206.7,0.689,✔️,0.0,False,CPU
-21,🧠⚡,Foundation Model,[SAP-RPT-OSS (default)](https://arxiv.org/abs/2506.10707),1447.0,+226/-190,0.232,22.62,11.5,9.095,25.28,0.843,➖,0.0,False,GPU
-22,🧠🔁,Neural Network,[TabM (tuned)](https://arxiv.org/abs/2410.24210),1442.0,+180/-119,0.202,22.88,18.41,6.829,4322.16,0.198,✔️,0.0,False,GPU
-23,🧠🔁,Neural Network,[ModernNCA (default)](https://arxiv.org/abs/2407.03257),1439.0,+143/-124,0.151,23.0,20.26,11.844,25.13,0.294,✔️,0.0,False,GPU
-24,🌳,Tree-based,[CatBoost (default)](https://arxiv.org/abs/1706.09516),1410.0,+156/-136,0.117,24.38,19.53,10.49,10.03,0.115,✔️,0.0,False,CPU
-25,🌳,Tree-based,[ExtraTrees (tuned + ensembled)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1372.0,+164/-175,0.137,26.12,20.75,13.514,644.11,0.953,✔️,0.0,False,CPU
-26,🧠🔁,Neural Network,[RealMLP (default)](https://arxiv.org/abs/2407.04491),1355.0,+179/-126,0.121,26.88,22.21,10.391,22.41,7.82,✔️,0.0,False,GPU
-27,🌳,Tree-based,[ExtraTrees (tuned)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1350.0,+187/-196,0.168,27.12,20.29,13.918,644.11,0.187,✔️,0.0,False,CPU
-28,🧠🔁,Neural Network,[TabM (default)](https://arxiv.org/abs/2410.24210),1342.0,+195/-147,0.138,27.5,23.94,8.773,25.53,0.154,✔️,0.0,False,GPU
-29,🧠🔁,Neural Network,[ModernNCA (tuned)](https://arxiv.org/abs/2407.03257),1339.0,+200/-177,0.133,27.62,16.27,12.41,9006.35,0.527,✔️,0.0,False,GPU
-30,🧠🔁,Neural Network,[TorchMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1326.0,+139/-151,0.092,28.25,25.43,10.201,5194.73,1.75,✔️,0.0,False,CPU
-31,🧠🔁,Neural Network,[TorchMLP (tuned)](https://arxiv.org/abs/2003.06505),1269.0,+203/-198,0.09,30.88,26.82,10.523,5194.73,0.121,✔️,0.0,False,CPU
-32,🌳,Tree-based,[EBM (tuned + ensembled)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1264.0,+227/-218,0.103,31.12,19.39,13.293,3991.28,0.402,✔️,0.0,False,CPU
-33,🌳,Tree-based,[EBM (tuned)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1241.0,+244/-237,0.129,32.12,11.41,13.82,3991.28,0.034,✔️,0.0,False,CPU
-34,❓,Other,[xRFM (default)](https://arxiv.org/abs/2508.10053),1230.0,+217/-283,0.12,32.62,11.32,15.422,7.0,1.362,✔️,0.0,False,GPU
-35,🌳,Tree-based,[RandomForest (tuned + ensembled)](https://link.springer.com/article/10.1023/A:1010933404324),1215.0,+106/-178,0.027,33.25,30.59,15.247,657.99,1.135,✔️,0.0,False,CPU
-36,🌳,Tree-based,[LightGBM (default)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1200.0,+95/-103,0.012,33.88,32.96,12.599,4.54,0.374,✔️,0.0,False,CPU
-37,🧠🔁,Neural Network,[FastaiMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1181.0,+70/-136,0.003,34.62,33.72,14.291,2150.84,7.995,✔️,0.0,False,CPU
-38,🌳,Tree-based,[ExtraTrees (default)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1165.0,+100/-177,0.019,35.25,33.22,15.473,0.46,0.117,✔️,0.0,False,CPU
-39,🌳,Tree-based,[RandomForest (tuned)](https://link.springer.com/article/10.1023/A:1010933404324),1152.0,+110/-242,0.025,35.75,33.13,16.37,657.99,0.147,✔️,0.0,False,CPU
-40,🧠🔁,Neural Network,[FastaiMLP (tuned)](https://arxiv.org/abs/2003.06505),1122.0,+96/-157,0.0,36.88,35.76,14.731,2150.84,0.566,✔️,0.0,False,CPU
-41,🌳,Tree-based,[XGBoost (default)](https://arxiv.org/abs/1603.02754),1112.0,+89/-105,0.0,37.25,36.51,13.89,4.08,0.255,✔️,0.0,False,CPU
-42,🌳,Tree-based,[EBM (default)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1066.0,+124/-188,0.002,38.88,37.49,15.332,12.71,0.039,✔️,0.0,False,CPU
-43,🧠🔁,Neural Network,[TorchMLP (default)](https://arxiv.org/abs/2003.06505),1024.0,+150/-223,0.0,40.25,38.68,14.535,22.25,0.131,✔️,0.0,False,CPU
-44,🌳,Tree-based,[RandomForest (default)](https://link.springer.com/article/10.1023/A:1010933404324),1000.0,+86/-205,0.0,41.0,40.48,17.797,0.69,0.125,✔️,0.0,False,CPU
-45,🧠🔁,Neural Network,[FastaiMLP (default)](https://arxiv.org/abs/2003.06505),978.0,+94/-219,0.0,41.62,40.92,19.209,6.77,0.511,✔️,0.0,False,CPU
-46,📏,Baseline,[KNN (tuned + ensembled)](https://scikit-learn.org/stable/modules/neighbors.html),906.0,+146/-323,0.0,43.5,42.39,21.318,88.79,0.572,✔️,0.0,False,CPU
-47,📏,Baseline,[KNN (tuned)](https://scikit-learn.org/stable/modules/neighbors.html),721.0,+130/-303,0.0,47.0,46.81,23.299,88.79,0.052,✔️,0.0,False,CPU
-48,📏,Baseline,[KNN (default)](https://scikit-learn.org/stable/modules/neighbors.html),639.0,+206/-596,0.0,48.12,47.51,29.645,0.43,0.047,✔️,0.0,False,CPU
-49,📏,Baseline,[Linear (tuned + ensembled)](https://scikit-learn.org/stable/modules/linear_model.html),522.0,+90/-479,0.0,49.44,49.34,34.167,742.99,0.364,✔️,0.0,False,CPU
-50,📏,Baseline,[Linear (tuned)](https://scikit-learn.org/stable/modules/linear_model.html),482.0,+124/-560,0.0,49.81,49.71,34.251,742.99,0.097,✔️,0.0,False,CPU
-51,📏,Baseline,[Linear (default)](https://scikit-learn.org/stable/modules/linear_model.html),331.0,+98/-494,0.0,51.0,50.99,36.397,3.98,0.12,✔️,0.0,False,CPU
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-#,Type,TypeName,Model,Elo [⬆️],Elo 95% CI,Score [⬆️],Rank [⬇️],Harmonic Rank [⬇️],Improvability (%) [⬇️],Median Train Time (s/1K) [⬇️],Median Predict Time (s/1K) [⬇️],Verified,Imputed (%) [⬇️],Imputed,Hardware
-0,🧠⚡,Foundation Model,[TabDPT (tuned + ensembled)](https://arxiv.org/abs/2410.18164),1905.0,+308/-104,0.729,6.57,2.58,3.095,10054.02,249.652,✔️,0.0,False,GPU
-1,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned + ensembled)](https://arxiv.org/abs/2511.08667),1899.0,+520/-230,0.771,6.71,2.05,1.229,2279.61,6.732,✔️,0.0,False,GPU
-2,📊,Reference Pipeline,"[AutoGluon 1.4 (extreme, 4h)](https://arxiv.org/abs/2003.06505)",1883.0,+380/-88,0.679,7.14,3.5,1.908,669.82,4.041,✔️,0.0,False,GPU
-3,🧠⚡,Foundation Model,[TabDPT (tuned)](https://arxiv.org/abs/2410.18164),1873.0,+173/-48,0.67,7.43,5.05,3.69,10054.02,28.583,✔️,0.0,False,GPU
-4,🧠⚡,Foundation Model,[TabPFNv2 (tuned + ensembled)](https://www.nature.com/articles/s41586-024-08328-6),1782.0,+493/-185,0.593,10.29,3.32,2.584,6601.21,73.561,✔️,0.0,False,GPU
-5,🧠⚡,Foundation Model,[TabDPT (default)](https://arxiv.org/abs/2410.18164),1770.0,+209/-45,0.567,10.71,6.24,4.944,47.81,37.998,✔️,0.0,False,GPU
-6,🧠🔁,Neural Network,[RealMLP (tuned + ensembled)](https://arxiv.org/abs/2407.04491),1755.0,+135/-30,0.551,11.29,10.2,5.167,4840.44,33.436,✔️,0.0,False,GPU
-7,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned)](https://arxiv.org/abs/2511.08667),1729.0,+411/-216,0.545,12.29,3.89,2.847,2279.61,0.781,✔️,0.0,False,GPU
-8,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (default)](https://arxiv.org/abs/2511.08667),1715.0,+376/-211,0.555,12.86,7.43,4.191,7.82,0.519,✔️,0.0,False,GPU
-9,📊,Reference Pipeline,"[AutoGluon 1.4 (best, 4h)](https://arxiv.org/abs/2003.06505)",1694.0,+186/-51,0.443,13.71,11.1,6.056,5390.56,5.054,✔️,0.0,False,CPU
-10,🧠🔁,Neural Network,[Mitra (default)](https://arxiv.org/abs/2510.21204),1653.0,+222/-120,0.391,15.43,7.88,6.637,105.28,2.433,✔️,0.0,False,GPU
-11,🧠🔁,Neural Network,[LimiX (default)](https://arxiv.org/abs/2509.03505),1627.0,+414/-295,0.518,16.57,5.24,19.429,5.73,0.638,➖,0.0,False,GPU
-12,🌳,Tree-based,[CatBoost (tuned + ensembled)](https://arxiv.org/abs/1706.09516),1608.0,+152/-48,0.282,17.43,15.49,7.956,3301.07,1.317,✔️,0.0,False,CPU
-13,🧠🔁,Neural Network,[RealMLP (tuned)](https://arxiv.org/abs/2407.04491),1605.0,+238/-130,0.388,17.57,12.35,6.481,4840.44,0.706,✔️,0.0,False,GPU
-14,🌳,Tree-based,[LightGBM (tuned + ensembled)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1575.0,+117/-58,0.243,19.0,17.49,9.035,997.12,3.787,✔️,0.0,False,CPU
-15,🌳,Tree-based,[CatBoost (tuned)](https://arxiv.org/abs/1706.09516),1569.0,+232/-107,0.267,19.29,14.63,8.008,3301.07,0.125,✔️,0.0,False,CPU
-16,🧠⚡,Foundation Model,[TabPFNv2 (tuned)](https://www.nature.com/articles/s41586-024-08328-6),1560.0,+421/-226,0.401,19.71,10.82,5.384,6601.21,0.588,✔️,0.0,False,GPU
-17,❓,Other,[xRFM (tuned + ensembled)](https://arxiv.org/abs/2508.10053),1546.0,+164/-104,0.292,20.43,14.4,8.299,1709.03,2.724,✔️,0.0,False,GPU
-18,🧠🔁,Neural Network,[TabM (tuned + ensembled)](https://arxiv.org/abs/2410.24210),1532.0,+189/-120,0.268,21.14,17.91,6.513,4228.53,1.447,✔️,0.0,False,GPU
-19,🧠⚡,Foundation Model,[SAP-RPT-OSS (default)](https://arxiv.org/abs/2506.10707),1521.0,+202/-160,0.242,21.71,13.12,8.659,22.8,0.769,➖,0.0,False,GPU
-20,🧠🔁,Neural Network,[ModernNCA (tuned + ensembled)](https://arxiv.org/abs/2407.03257),1518.0,+181/-140,0.27,21.86,15.39,10.909,9360.97,7.658,✔️,0.0,False,GPU
-21,❓,Other,[xRFM (tuned)](https://arxiv.org/abs/2508.10053),1516.0,+143/-78,0.248,22.0,16.51,8.482,1709.03,0.097,✔️,0.0,False,GPU
-22,🧠⚡,Foundation Model,[TabPFNv2 (default)](https://www.nature.com/articles/s41586-024-08328-6),1474.0,+406/-336,0.348,24.14,13.31,7.531,8.97,0.837,✔️,0.0,False,GPU
-23,🌳,Tree-based,[XGBoost (tuned)](https://arxiv.org/abs/1603.02754),1468.0,+79/-43,0.096,24.43,23.78,9.543,911.22,0.527,✔️,0.0,False,CPU
-24,🌳,Tree-based,[XGBoost (tuned + ensembled)](https://arxiv.org/abs/1603.02754),1462.0,+77/-40,0.098,24.71,24.12,9.588,911.22,3.532,✔️,0.0,False,CPU
-25,🌳,Tree-based,[LightGBM (tuned)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1437.0,+130/-69,0.11,26.0,24.03,10.356,997.12,0.636,✔️,0.0,False,CPU
-26,🧠🔁,Neural Network,[TabM (tuned)](https://arxiv.org/abs/2410.24210),1428.0,+197/-140,0.164,26.43,22.29,7.312,4228.53,0.173,✔️,0.0,False,GPU
-27,🌳,Tree-based,[CatBoost (default)](https://arxiv.org/abs/1706.09516),1422.0,+221/-142,0.122,26.71,21.49,11.174,9.39,0.105,✔️,0.0,False,CPU
-28,🧠🔁,Neural Network,[ModernNCA (default)](https://arxiv.org/abs/2407.03257),1408.0,+144/-154,0.12,27.43,24.82,13.106,27.26,0.29,✔️,0.0,False,GPU
-29,🌳,Tree-based,[ExtraTrees (tuned + ensembled)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1396.0,+209/-230,0.156,28.0,21.91,14.555,613.95,0.952,✔️,0.0,False,CPU
-30,🌳,Tree-based,[ExtraTrees (tuned)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1388.0,+235/-247,0.191,28.43,20.91,14.881,613.95,0.135,✔️,0.0,False,CPU
-31,🧠🔁,Neural Network,[RealMLP (default)](https://arxiv.org/abs/2407.04491),1368.0,+154/-136,0.127,29.43,24.9,11.015,22.96,8.006,✔️,0.0,False,GPU
-32,🧠🔁,Neural Network,[TabM (default)](https://arxiv.org/abs/2410.24210),1331.0,+195/-190,0.121,31.29,27.74,9.406,17.97,0.145,✔️,0.0,False,GPU
-33,🌳,Tree-based,[EBM (tuned + ensembled)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1294.0,+275/-209,0.111,33.14,21.0,14.054,3778.28,0.323,✔️,0.0,False,CPU
-34,🧠🔁,Neural Network,[TorchMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1285.0,+128/-166,0.03,33.57,32.19,11.205,5937.36,1.406,✔️,0.0,False,CPU
-35,❓,Other,[xRFM (default)](https://arxiv.org/abs/2508.10053),1280.0,+261/-291,0.136,33.86,10.42,16.185,7.12,1.138,✔️,0.0,False,GPU
-36,🧠🔁,Neural Network,[ModernNCA (tuned)](https://arxiv.org/abs/2407.03257),1280.0,+151/-173,0.039,33.86,31.37,14.048,9360.97,0.522,✔️,0.0,False,GPU
-37,🌳,Tree-based,[EBM (tuned)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1274.0,+268/-232,0.138,34.14,14.24,14.636,3778.28,0.028,✔️,0.0,False,CPU
-38,🌳,Tree-based,[RandomForest (tuned + ensembled)](https://link.springer.com/article/10.1023/A:1010933404324),1227.0,+153/-256,0.024,36.29,33.49,16.471,628.51,0.812,✔️,0.0,False,CPU
-39,🧠🔁,Neural Network,[TorchMLP (tuned)](https://arxiv.org/abs/2003.06505),1227.0,+179/-286,0.03,36.29,33.1,11.535,5937.36,0.119,✔️,0.0,False,CPU
-40,🌳,Tree-based,[ExtraTrees (default)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1174.0,+135/-216,0.016,38.57,36.52,16.642,0.43,0.117,✔️,0.0,False,CPU
-41,🌳,Tree-based,[RandomForest (tuned)](https://link.springer.com/article/10.1023/A:1010933404324),1172.0,+173/-290,0.023,38.64,35.88,17.646,628.51,0.149,✔️,0.0,False,CPU
-42,🌳,Tree-based,[LightGBM (default)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1170.0,+58/-102,0.0,38.71,38.37,13.734,4.41,0.363,✔️,0.0,False,CPU
-43,🧠🔁,Neural Network,[FastaiMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1153.0,+60/-112,0.0,39.43,38.89,15.611,2163.39,7.622,✔️,0.0,False,CPU
-44,🌳,Tree-based,[XGBoost (default)](https://arxiv.org/abs/1603.02754),1113.0,+107/-172,0.0,41.0,40.23,14.895,3.97,0.24,✔️,0.0,False,CPU
-45,🧠🔁,Neural Network,[FastaiMLP (tuned)](https://arxiv.org/abs/2003.06505),1098.0,+112/-178,0.0,41.57,40.6,16.062,2163.39,0.713,✔️,0.0,False,CPU
-46,🌳,Tree-based,[EBM (default)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1098.0,+94/-161,0.0,41.57,40.32,15.956,10.54,0.036,✔️,0.0,False,CPU
-47,🧠🔁,Neural Network,[TorchMLP (default)](https://arxiv.org/abs/2003.06505),1002.0,+133/-301,0.0,44.86,43.39,15.699,20.5,0.13,✔️,0.0,False,CPU
-48,🌳,Tree-based,[RandomForest (default)](https://link.springer.com/article/10.1023/A:1010933404324),1000.0,+129/-212,0.0,44.93,44.2,19.276,0.67,0.118,✔️,0.0,False,CPU
-49,🧠🔁,Neural Network,[FastaiMLP (default)](https://arxiv.org/abs/2003.06505),943.0,+77/-214,0.0,46.57,46.13,21.065,6.88,0.452,✔️,0.0,False,CPU
-50,📏,Baseline,[KNN (tuned + ensembled)](https://scikit-learn.org/stable/modules/neighbors.html),937.0,+178/-378,0.0,46.71,45.35,22.177,86.71,0.53,✔️,0.0,False,CPU
-51,📏,Baseline,[KNN (tuned)](https://scikit-learn.org/stable/modules/neighbors.html),757.0,+167/-356,0.0,50.57,50.27,24.152,86.71,0.05,✔️,0.0,False,CPU
-52,📏,Baseline,[KNN (default)](https://scikit-learn.org/stable/modules/neighbors.html),712.0,+244/-528,0.0,51.29,50.5,30.287,0.4,0.044,✔️,0.0,False,CPU
-53,📏,Baseline,[Linear (tuned + ensembled)](https://scikit-learn.org/stable/modules/linear_model.html),533.0,+85/-888,0.0,53.5,53.4,36.2,753.48,0.227,✔️,0.0,False,CPU
-54,📏,Baseline,[Linear (tuned)](https://scikit-learn.org/stable/modules/linear_model.html),504.0,+117/-993,0.0,53.79,53.68,36.249,753.48,0.091,✔️,0.0,False,CPU
-55,📏,Baseline,[Linear (default)](https://scikit-learn.org/stable/modules/linear_model.html),352.0,+97/-818,0.0,55.0,54.99,37.99,4.35,0.119,✔️,0.0,False,CPU
diff --git a/data/imputation_no/splits_lite/tasks_regression/datasets_tabpfn/winrate_matrix.png.zip b/data/imputation_no/splits_lite/tasks_regression/datasets_tabpfn/winrate_matrix.png.zip
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diff --git a/data/imputation_yes/splits_all/tasks_all/datasets_all/website_leaderboard.csv b/data/imputation_yes/splits_all/tasks_all/datasets_all/website_leaderboard.csv
deleted file mode 100644
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-#,Type,TypeName,Model,Elo [⬆️],Elo 95% CI,Score [⬆️],Rank [⬇️],Harmonic Rank [⬇️],Improvability (%) [⬇️],Median Train Time (s/1K) [⬇️],Median Predict Time (s/1K) [⬇️],Verified,Imputed (%) [⬇️],Imputed,Hardware
-0,📊,Reference Pipeline,"[AutoGluon 1.4 (extreme, 4h)](https://arxiv.org/abs/2003.06505)",1633.0,+61/-47,0.75,8.66,3.87,5.993,582.21,6.116,✔️,0.0,False,GPU
-1,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned + ensembled)](https://arxiv.org/abs/2511.08667),1597.0,+78/-57,0.715,10.06,3.43,5.284,2040.22,8.92,✔️,0.0,False,GPU
-2,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned)](https://arxiv.org/abs/2511.08667),1552.0,+67/-49,0.657,12.04,4.7,6.257,2040.22,1.218,✔️,0.0,False,GPU
-3,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (default)](https://arxiv.org/abs/2511.08667),1522.0,+65/-47,0.624,13.49,6.42,6.977,5.81,0.645,✔️,0.0,False,GPU
-4,🧠🔁,Neural Network,[RealMLP (tuned + ensembled)](https://arxiv.org/abs/2407.04491),1497.0,+55/-46,0.517,14.78,8.32,9.225,2950.72,11.988,✔️,0.0,False,GPU
-5,📊,Reference Pipeline,"[AutoGluon 1.4 (best, 4h)](https://arxiv.org/abs/2003.06505)",1496.0,+54/-46,0.516,14.86,6.07,9.101,1735.72,2.559,✔️,0.0,False,CPU
-6,🧠⚡,Foundation Model,[TabDPT (tuned + ensembled)](https://arxiv.org/abs/2410.18164),1449.0,+62/-48,0.492,17.52,5.18,9.255,4907.64,286.652,✔️,0.0,False,GPU
-7,🧠🔁,Neural Network,[TabM (tuned + ensembled)](https://arxiv.org/abs/2410.24210),1433.0,+50/-39,0.396,18.47,9.67,10.651,3285.87,1.472,✔️,0.0,False,GPU
-8,🌳,Tree-based,[LightGBM (tuned + ensembled)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1417.0,+32/-29,0.35,19.48,12.92,11.845,416.98,2.639,✔️,0.0,False,CPU
-9,🧠🔁,Neural Network,[RealMLP (tuned)](https://arxiv.org/abs/2407.04491),1414.0,+48/-46,0.365,19.66,10.44,10.688,2950.72,0.663,✔️,0.0,False,GPU
-10,🌳,Tree-based,[CatBoost (tuned + ensembled)](https://arxiv.org/abs/1706.09516),1401.0,+41/-38,0.333,20.45,11.62,11.41,1658.41,0.653,✔️,0.0,False,CPU
-11,🧠🔁,Neural Network,[LimiX (default) [11.98% IMPUTED]](https://arxiv.org/abs/2509.03505),1401.0,+67/-54,0.458,20.49,6.49,13.153,3.68,0.598,➖,11.98,True,GPU
-12,🧠⚡,Foundation Model,[TabDPT (tuned)](https://arxiv.org/abs/2410.18164),1394.0,+57/-52,0.402,20.92,7.21,10.633,4907.64,39.96,✔️,0.0,False,GPU
-13,🌳,Tree-based,[CatBoost (tuned)](https://arxiv.org/abs/1706.09516),1390.0,+40/-39,0.323,21.15,10.92,11.592,1658.41,0.081,✔️,0.0,False,CPU
-14,🧠🔁,Neural Network,[ModernNCA (tuned + ensembled)](https://arxiv.org/abs/2407.03257),1380.0,+74/-52,0.371,21.81,8.57,11.858,4621.67,8.149,✔️,0.0,False,GPU
-15,🧠🔁,Neural Network,[TabM (tuned)](https://arxiv.org/abs/2410.24210),1377.0,+48/-45,0.316,22.04,11.16,11.555,3285.87,0.173,✔️,0.0,False,GPU
-16,🌳,Tree-based,[LightGBM (tuned)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1372.0,+31/-29,0.266,22.31,15.73,12.535,416.98,0.334,✔️,0.0,False,CPU
-17,🌳,Tree-based,[XGBoost (tuned + ensembled)](https://arxiv.org/abs/1603.02754),1363.0,+33/-39,0.279,22.96,14.54,12.624,693.49,1.69,✔️,0.0,False,CPU
-18,🌳,Tree-based,[CatBoost (default)](https://arxiv.org/abs/1706.09516),1352.0,+38/-44,0.288,23.65,12.97,12.405,6.83,0.08,✔️,0.0,False,CPU
-19,🧠🔁,Neural Network,[ModernNCA (tuned)](https://arxiv.org/abs/2407.03257),1347.0,+41/-38,0.247,24.02,12.19,12.39,4621.67,0.475,✔️,0.0,False,GPU
-20,❓,Other,[xRFM (tuned + ensembled)](https://arxiv.org/abs/2508.10053),1341.0,+50/-39,0.251,24.42,14.33,13.02,846.88,2.552,✔️,0.0,False,GPU
-21,🌳,Tree-based,[XGBoost (tuned)](https://arxiv.org/abs/1603.02754),1340.0,+33/-34,0.228,24.44,17.14,12.947,693.49,0.308,✔️,0.0,False,CPU
-22,🧠⚡,Foundation Model,[TabPFNv2 (tuned + ensembled) [35.29% IMPUTED]](https://www.nature.com/articles/s41586-024-08328-6),1336.0,+64/-64,0.377,24.71,8.32,12.798,3030.15,21.444,✔️,35.29,True,GPU
-23,🧠🔁,Neural Network,[Mitra (default) [35.29% IMPUTED]](https://arxiv.org/abs/2510.21204),1324.0,+61/-63,0.355,25.55,8.97,13.51,87.65,2.505,✔️,35.29,True,GPU
-24,🧠⚡,Foundation Model,[TabDPT (default)](https://arxiv.org/abs/2410.18164),1318.0,+69/-55,0.326,25.94,8.42,13.296,47.62,43.739,✔️,0.0,False,GPU
-25,🧠⚡,Foundation Model,[TabICL (default) [29.41% IMPUTED]](https://arxiv.org/abs/2502.05564),1316.0,+51/-57,0.315,26.09,9.51,13.032,6.63,1.48,✔️,29.41,True,GPU
-26,❓,Other,[xRFM (tuned)](https://arxiv.org/abs/2508.10053),1294.0,+43/-37,0.187,27.58,17.21,14.303,846.88,0.13,✔️,0.0,False,GPU
-27,🧠🔁,Neural Network,[TabM (default)](https://arxiv.org/abs/2410.24210),1286.0,+47/-44,0.217,28.17,17.06,14.039,10.49,0.132,✔️,0.0,False,GPU
-28,🧠⚡,Foundation Model,[TabPFNv2 (tuned) [35.29% IMPUTED]](https://www.nature.com/articles/s41586-024-08328-6),1280.0,+62/-57,0.279,28.55,10.07,14.445,3030.15,0.462,✔️,35.29,True,GPU
-29,🧠🔁,Neural Network,[TorchMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1278.0,+47/-46,0.156,28.67,19.48,13.813,2874.67,1.952,✔️,0.0,False,CPU
-30,🧠⚡,Foundation Model,[SAP-RPT-OSS (default)](https://arxiv.org/abs/2506.10707),1277.0,+54/-48,0.24,28.78,10.81,14.682,14.11,2.075,➖,0.0,False,GPU
-31,🧠⚡,Foundation Model,[BetaTabPFN (default) [25.49% IMPUTED]](https://arxiv.org/abs/2502.02527),1273.0,+56/-50,0.231,29.07,15.51,15.426,205.87,1.343,➖,25.49,True,GPU
-32,🌳,Tree-based,[EBM (tuned + ensembled)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1258.0,+39/-38,0.148,30.09,19.95,15.578,2929.85,0.422,✔️,0.0,False,CPU
-33,🧠⚡,Foundation Model,[TabPFNv2 (default) [35.29% IMPUTED]](https://www.nature.com/articles/s41586-024-08328-6),1253.0,+67/-61,0.25,30.41,13.54,15.448,3.36,0.313,✔️,35.29,True,GPU
-34,🧠🔁,Neural Network,[ModernNCA (default)](https://arxiv.org/abs/2407.03257),1244.0,+39/-40,0.121,31.0,19.49,15.933,14.87,0.308,✔️,0.0,False,GPU
-35,🧠🔁,Neural Network,[RealMLP (default)](https://arxiv.org/abs/2407.04491),1224.0,+35/-38,0.083,32.37,23.36,15.32,10.06,1.689,✔️,0.0,False,GPU
-36,🌳,Tree-based,[EBM (tuned)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1222.0,+44/-46,0.106,32.5,21.18,16.254,2929.85,0.051,✔️,0.0,False,CPU
-37,🌳,Tree-based,[XGBoost (default)](https://arxiv.org/abs/1603.02754),1210.0,+38/-40,0.092,33.35,24.74,15.79,1.94,0.123,✔️,0.0,False,CPU
-38,🧠🔁,Neural Network,[TorchMLP (tuned)](https://arxiv.org/abs/2003.06505),1204.0,+43/-44,0.083,33.72,23.52,15.658,2874.67,0.131,✔️,0.0,False,CPU
-39,🌳,Tree-based,[ExtraTrees (tuned + ensembled)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1204.0,+42/-41,0.093,33.74,22.49,17.281,183.02,0.761,✔️,0.0,False,CPU
-40,🧠🔁,Neural Network,[FastaiMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1200.0,+48/-50,0.12,34.01,20.41,16.701,593.24,4.467,✔️,0.0,False,CPU
-41,🌳,Tree-based,[EBM (default)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1191.0,+44/-47,0.095,34.62,23.04,17.399,7.32,0.05,✔️,0.0,False,CPU
-42,🌳,Tree-based,[LightGBM (default)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1182.0,+31/-31,0.058,35.17,30.19,16.397,1.96,0.142,✔️,0.0,False,CPU
-43,🌳,Tree-based,[RandomForest (tuned + ensembled)](https://link.springer.com/article/10.1023/A:1010933404324),1176.0,+49/-48,0.073,35.54,22.99,18.166,373.18,0.771,✔️,0.0,False,CPU
-44,🌳,Tree-based,[ExtraTrees (tuned)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1167.0,+42/-46,0.069,36.13,22.97,18.239,183.02,0.091,✔️,0.0,False,CPU
-45,🧠🔁,Neural Network,[FastaiMLP (tuned)](https://arxiv.org/abs/2003.06505),1139.0,+48/-52,0.05,37.91,25.04,18.189,593.24,0.306,✔️,0.0,False,CPU
-46,🌳,Tree-based,[RandomForest (tuned)](https://link.springer.com/article/10.1023/A:1010933404324),1137.0,+50/-40,0.047,38.03,23.32,18.935,373.18,0.085,✔️,0.0,False,CPU
-47,🧠🔁,Neural Network,[TorchMLP (default)](https://arxiv.org/abs/2003.06505),1071.0,+36/-46,0.01,41.98,34.03,20.041,9.99,0.126,✔️,0.0,False,CPU
-48,❓,Other,[xRFM (default)](https://arxiv.org/abs/2508.10053),1039.0,+58/-64,0.033,43.72,35.19,23.641,3.23,0.919,✔️,0.0,False,GPU
-49,🧠⚡,Foundation Model,[TabFlex (default) [25.49% IMPUTED]](https://arxiv.org/abs/2506.05584),1008.0,+60/-74,0.045,45.34,32.41,25.178,0.79,0.123,➖,25.49,True,GPU
-50,🧠🔁,Neural Network,[FastaiMLP (default)](https://arxiv.org/abs/2003.06505),1000.0,+55/-65,0.009,45.7,33.85,23.034,2.86,0.373,✔️,0.0,False,CPU
-51,🌳,Tree-based,[RandomForest (default)](https://link.springer.com/article/10.1023/A:1010933404324),1000.0,+44/-40,0.003,45.71,41.04,23.811,0.43,0.054,✔️,0.0,False,CPU
-52,📏,Baseline,[KNN (tuned + ensembled)](https://scikit-learn.org/stable/modules/neighbors.html),993.0,+61/-78,0.019,46.05,32.33,25.658,129.01,1.802,✔️,0.0,False,CPU
-53,🌳,Tree-based,[ExtraTrees (default)](https://link.springer.com/article/10.1007/s10994-006-6226-1),978.0,+58/-61,0.011,46.74,41.01,25.307,0.25,0.05,✔️,0.0,False,CPU
-54,📏,Baseline,[Linear (tuned + ensembled)](https://scikit-learn.org/stable/modules/linear_model.html),960.0,+65/-98,0.031,47.56,35.79,31.592,237.58,0.424,✔️,0.0,False,CPU
-55,📏,Baseline,[Linear (tuned)](https://scikit-learn.org/stable/modules/linear_model.html),932.0,+71/-112,0.021,48.75,37.75,32.184,237.58,0.085,✔️,0.0,False,CPU
-56,📏,Baseline,[KNN (tuned)](https://scikit-learn.org/stable/modules/neighbors.html),881.0,+60/-96,0.008,50.67,38.8,30.879,129.01,0.18,✔️,0.0,False,CPU
-57,📏,Baseline,[Linear (default)](https://scikit-learn.org/stable/modules/linear_model.html),850.0,+70/-117,0.012,51.71,41.24,34.895,1.19,0.12,✔️,0.0,False,CPU
-58,📏,Baseline,[KNN (default)](https://scikit-learn.org/stable/modules/neighbors.html),625.0,+89/-101,0.0,56.7,51.45,44.484,0.19,0.036,✔️,0.0,False,CPU
diff --git a/data/imputation_yes/splits_all/tasks_all/datasets_all/winrate_matrix.png.zip b/data/imputation_yes/splits_all/tasks_all/datasets_all/winrate_matrix.png.zip
deleted file mode 100644
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diff --git a/data/imputation_yes/splits_all/tasks_all/datasets_medium/website_leaderboard.csv b/data/imputation_yes/splits_all/tasks_all/datasets_medium/website_leaderboard.csv
deleted file mode 100644
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+++ /dev/null
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-#,Type,TypeName,Model,Elo [⬆️],Elo 95% CI,Score [⬆️],Rank [⬇️],Harmonic Rank [⬇️],Improvability (%) [⬇️],Median Train Time (s/1K) [⬇️],Median Predict Time (s/1K) [⬇️],Verified,Imputed (%) [⬇️],Imputed,Hardware
-0,📊,Reference Pipeline,"[AutoGluon 1.4 (extreme, 4h)](https://arxiv.org/abs/2003.06505)",1806.0,+94/-52,0.822,6.1,2.88,2.62,289.53,3.187,✔️,0.0,False,GPU
-1,📊,Reference Pipeline,"[AutoGluon 1.4 (best, 4h)](https://arxiv.org/abs/2003.06505)",1781.0,+90/-54,0.796,6.75,3.14,2.723,432.35,4.085,✔️,0.0,False,CPU
-2,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned + ensembled)](https://arxiv.org/abs/2511.08667),1659.0,+163/-118,0.651,10.78,3.35,5.438,735.58,11.736,✔️,0.0,False,GPU
-3,🧠🔁,Neural Network,[RealMLP (tuned + ensembled)](https://arxiv.org/abs/2407.04491),1631.0,+102/-90,0.58,11.9,7.37,5.74,1719.82,1.675,✔️,0.0,False,GPU
-4,🧠🔁,Neural Network,[ModernNCA (tuned + ensembled)](https://arxiv.org/abs/2407.03257),1618.0,+119/-115,0.596,12.43,6.83,5.81,2526.28,6.013,✔️,0.0,False,GPU
-5,🌳,Tree-based,[CatBoost (tuned + ensembled)](https://arxiv.org/abs/1706.09516),1606.0,+90/-62,0.538,12.97,6.91,5.642,777.59,0.25,✔️,0.0,False,CPU
-6,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned)](https://arxiv.org/abs/2511.08667),1604.0,+146/-110,0.585,13.03,5.31,6.152,735.58,1.386,✔️,0.0,False,GPU
-7,🌳,Tree-based,[CatBoost (tuned)](https://arxiv.org/abs/1706.09516),1596.0,+97/-66,0.539,13.4,5.74,5.838,777.59,0.052,✔️,0.0,False,CPU
-8,🌳,Tree-based,[LightGBM (tuned + ensembled)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1588.0,+74/-60,0.489,13.74,9.2,7.405,131.56,2.639,✔️,0.0,False,CPU
-9,🌳,Tree-based,[CatBoost (default)](https://arxiv.org/abs/1706.09516),1555.0,+109/-95,0.522,15.3,7.45,6.028,3.24,0.031,✔️,0.0,False,CPU
-10,🌳,Tree-based,[XGBoost (tuned + ensembled)](https://arxiv.org/abs/1603.02754),1548.0,+86/-57,0.443,15.61,9.33,7.531,282.13,0.563,✔️,0.0,False,CPU
-11,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (default)](https://arxiv.org/abs/2511.08667),1535.0,+146/-96,0.476,16.24,7.91,6.964,1.88,0.645,✔️,0.0,False,GPU
-12,🧠🔁,Neural Network,[RealMLP (tuned)](https://arxiv.org/abs/2407.04491),1531.0,+116/-88,0.411,16.43,9.2,7.07,1719.82,0.081,✔️,0.0,False,GPU
-13,🧠🔁,Neural Network,[TabM (tuned + ensembled)](https://arxiv.org/abs/2410.24210),1529.0,+150/-87,0.426,16.55,7.57,7.466,1993.14,0.619,✔️,0.0,False,GPU
-14,🧠⚡,Foundation Model,[TabDPT (tuned + ensembled)](https://arxiv.org/abs/2410.18164),1517.0,+131/-122,0.486,17.14,4.24,7.078,4786.55,444.544,✔️,0.0,False,GPU
-15,🌳,Tree-based,[XGBoost (tuned)](https://arxiv.org/abs/1603.02754),1501.0,+69/-48,0.361,17.96,13.64,8.115,282.13,0.066,✔️,0.0,False,CPU
-16,🌳,Tree-based,[LightGBM (tuned)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1499.0,+78/-60,0.349,18.03,12.36,8.625,131.56,0.132,✔️,0.0,False,CPU
-17,🧠🔁,Neural Network,[TabM (tuned)](https://arxiv.org/abs/2410.24210),1477.0,+144/-96,0.361,19.17,8.69,8.222,1993.14,0.061,✔️,0.0,False,GPU
-18,🧠🔁,Neural Network,[ModernNCA (tuned)](https://arxiv.org/abs/2407.03257),1471.0,+102/-88,0.334,19.5,13.93,8.204,2526.28,0.349,✔️,0.0,False,GPU
-19,❓,Other,[xRFM (tuned + ensembled)](https://arxiv.org/abs/2508.10053),1424.0,+112/-94,0.284,21.97,13.17,9.726,566.74,0.951,✔️,0.0,False,GPU
-20,🧠⚡,Foundation Model,[TabDPT (tuned)](https://arxiv.org/abs/2410.18164),1394.0,+124/-121,0.299,23.63,8.91,9.704,4786.55,42.641,✔️,0.0,False,GPU
-21,🧠🔁,Neural Network,[TorchMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1375.0,+69/-64,0.18,24.67,17.95,9.473,1770.56,1.069,✔️,0.0,False,CPU
-22,❓,Other,[xRFM (tuned)](https://arxiv.org/abs/2508.10053),1374.0,+94/-92,0.209,24.76,19.41,11.424,566.74,0.06,✔️,0.0,False,GPU
-23,🌳,Tree-based,[XGBoost (default)](https://arxiv.org/abs/1603.02754),1365.0,+97/-111,0.227,25.23,16.81,9.978,0.49,0.053,✔️,0.0,False,CPU
-24,🧠⚡,Foundation Model,[TabICL (default) [33.33% IMPUTED]](https://arxiv.org/abs/2502.05564),1339.0,+129/-109,0.278,26.66,12.33,10.315,3.97,1.596,✔️,33.33,True,GPU
-25,🧠⚡,Foundation Model,[TabDPT (default)](https://arxiv.org/abs/2410.18164),1324.0,+119/-136,0.231,27.52,10.28,12.499,46.62,43.739,✔️,0.0,False,GPU
-26,🧠🔁,Neural Network,[TabM (default)](https://arxiv.org/abs/2410.24210),1321.0,+129/-105,0.181,27.7,18.03,11.062,5.16,0.074,✔️,0.0,False,GPU
-27,🧠🔁,Neural Network,[LimiX (default) [40.00% IMPUTED]](https://arxiv.org/abs/2509.03505),1320.0,+135/-129,0.255,27.72,8.87,14.019,1.08,0.32,➖,40.0,True,GPU
-28,🌳,Tree-based,[EBM (tuned + ensembled)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1318.0,+118/-125,0.198,27.84,18.53,12.974,1517.65,0.134,✔️,0.0,False,CPU
-29,🧠🔁,Neural Network,[ModernNCA (default)](https://arxiv.org/abs/2407.03257),1295.0,+76/-79,0.115,29.14,25.01,11.512,8.06,0.25,✔️,0.0,False,GPU
-30,🧠🔁,Neural Network,[RealMLP (default)](https://arxiv.org/abs/2407.04491),1273.0,+86/-74,0.054,30.36,27.05,12.26,6.75,0.235,✔️,0.0,False,GPU
-31,🧠🔁,Neural Network,[TorchMLP (tuned)](https://arxiv.org/abs/2003.06505),1269.0,+79/-76,0.066,30.56,25.71,11.256,1770.56,0.051,✔️,0.0,False,CPU
-32,🌳,Tree-based,[EBM (tuned)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1258.0,+111/-139,0.139,31.16,23.51,13.864,1517.65,0.015,✔️,0.0,False,CPU
-33,🌳,Tree-based,[LightGBM (default)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1255.0,+60/-68,0.046,31.33,28.89,11.913,0.29,0.045,✔️,0.0,False,CPU
-34,🌳,Tree-based,[RandomForest (tuned + ensembled)](https://link.springer.com/article/10.1023/A:1010933404324),1250.0,+82/-72,0.041,31.62,25.19,12.464,66.0,0.341,✔️,0.0,False,CPU
-35,🧠⚡,Foundation Model,[BetaTabPFN (default) [33.33% IMPUTED]](https://arxiv.org/abs/2502.02527),1225.0,+103/-89,0.084,32.94,25.44,14.429,66.06,0.652,➖,33.33,True,GPU
-36,🌳,Tree-based,[RandomForest (tuned)](https://link.springer.com/article/10.1023/A:1010933404324),1214.0,+88/-83,0.042,33.5,26.99,13.175,66.0,0.024,✔️,0.0,False,CPU
-37,🌳,Tree-based,[EBM (default)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1210.0,+102/-141,0.099,33.7,28.51,15.447,3.12,0.016,✔️,0.0,False,CPU
-38,🌳,Tree-based,[ExtraTrees (tuned + ensembled)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1208.0,+70/-85,0.025,33.81,31.24,12.591,36.48,0.329,✔️,0.0,False,CPU
-39,🧠🔁,Neural Network,[FastaiMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1198.0,+110/-138,0.076,34.36,26.54,14.414,351.94,1.658,✔️,0.0,False,CPU
-40,🧠⚡,Foundation Model,[SAP-RPT-OSS (default)](https://arxiv.org/abs/2506.10707),1195.0,+85/-96,0.047,34.48,29.36,14.386,11.44,10.416,➖,0.0,False,GPU
-41,🌳,Tree-based,[ExtraTrees (tuned)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1163.0,+63/-80,0.011,36.13,34.14,13.815,36.48,0.037,✔️,0.0,False,CPU
-42,🧠🔁,Neural Network,[TorchMLP (default)](https://arxiv.org/abs/2003.06505),1116.0,+69/-73,0.001,38.38,36.56,15.577,2.18,0.039,✔️,0.0,False,CPU
-43,🧠🔁,Neural Network,[FastaiMLP (tuned)](https://arxiv.org/abs/2003.06505),1090.0,+88/-116,0.023,39.6,34.72,16.687,351.94,0.114,✔️,0.0,False,CPU
-44,❓,Other,[xRFM (default)](https://arxiv.org/abs/2508.10053),1050.0,+138/-183,0.022,41.36,35.7,23.725,2.49,0.145,✔️,0.0,False,GPU
-45,🧠🔁,Neural Network,[FastaiMLP (default)](https://arxiv.org/abs/2003.06505),1012.0,+135/-177,0.026,42.91,38.05,20.379,1.51,0.111,✔️,0.0,False,CPU
-46,🌳,Tree-based,[RandomForest (default)](https://link.springer.com/article/10.1023/A:1010933404324),1000.0,+59/-88,0.0,43.36,42.42,18.741,0.2,0.021,✔️,0.0,False,CPU
-47,📏,Baseline,[KNN (tuned + ensembled)](https://scikit-learn.org/stable/modules/neighbors.html),985.0,+87/-122,0.006,43.94,37.01,22.293,150.3,10.071,✔️,0.0,False,CPU
-48,📏,Baseline,[Linear (tuned + ensembled)](https://scikit-learn.org/stable/modules/linear_model.html),945.0,+151/-218,0.005,45.37,41.41,31.147,43.64,0.081,✔️,0.0,False,CPU
-49,🌳,Tree-based,[ExtraTrees (default)](https://link.springer.com/article/10.1007/s10994-006-6226-1),943.0,+110/-142,0.003,45.41,43.41,21.857,0.11,0.028,✔️,0.0,False,CPU
-50,🧠⚡,Foundation Model,[TabFlex (default) [33.33% IMPUTED]](https://arxiv.org/abs/2506.05584),925.0,+73/-125,0.0,46.03,45.04,25.797,0.25,0.045,➖,33.33,True,GPU
-51,📏,Baseline,[Linear (tuned)](https://scikit-learn.org/stable/modules/linear_model.html),895.0,+155/-241,0.003,46.96,43.82,32.089,43.64,0.018,✔️,0.0,False,CPU
-52,📏,Baseline,[KNN (tuned)](https://scikit-learn.org/stable/modules/neighbors.html),798.0,+60/-101,0.0,49.55,49.26,28.282,150.3,0.482,✔️,0.0,False,CPU
-53,📏,Baseline,[Linear (default)](https://scikit-learn.org/stable/modules/linear_model.html),782.0,+131/-234,0.0,49.91,48.59,34.193,0.19,0.019,✔️,0.0,False,CPU
-54,📏,Baseline,[KNN (default)](https://scikit-learn.org/stable/modules/neighbors.html),554.0,+100/-153,0.0,53.4,53.32,42.236,0.1,0.072,✔️,0.0,False,CPU
diff --git a/data/imputation_yes/splits_all/tasks_all/datasets_medium/winrate_matrix.png.zip b/data/imputation_yes/splits_all/tasks_all/datasets_medium/winrate_matrix.png.zip
deleted file mode 100644
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--- a/data/imputation_yes/splits_all/tasks_all/datasets_medium/winrate_matrix.png.zip
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diff --git a/data/imputation_yes/splits_all/tasks_all/datasets_small/website_leaderboard.csv b/data/imputation_yes/splits_all/tasks_all/datasets_small/website_leaderboard.csv
deleted file mode 100644
index 71eb022599c0f1473746414392e2ea632685ac7f..0000000000000000000000000000000000000000
--- a/data/imputation_yes/splits_all/tasks_all/datasets_small/website_leaderboard.csv
+++ /dev/null
@@ -1,60 +0,0 @@
-#,Type,TypeName,Model,Elo [⬆️],Elo 95% CI,Score [⬆️],Rank [⬇️],Harmonic Rank [⬇️],Improvability (%) [⬇️],Median Train Time (s/1K) [⬇️],Median Predict Time (s/1K) [⬇️],Verified,Imputed (%) [⬇️],Imputed,Hardware
-0,📊,Reference Pipeline,"[AutoGluon 1.4 (extreme, 4h)](https://arxiv.org/abs/2003.06505)",1608.0,+64/-52,0.71,9.72,4.52,7.399,659.63,7.444,✔️,0.0,False,GPU
-1,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned + ensembled)](https://arxiv.org/abs/2511.08667),1608.0,+84/-62,0.735,9.76,3.46,5.22,2289.05,8.049,✔️,0.0,False,GPU
-2,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned)](https://arxiv.org/abs/2511.08667),1564.0,+69/-54,0.677,11.61,4.48,6.3,2289.05,1.143,✔️,0.0,False,GPU
-3,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (default)](https://arxiv.org/abs/2511.08667),1549.0,+80/-54,0.668,12.32,5.96,6.982,6.76,0.636,✔️,0.0,False,GPU
-4,🧠🔁,Neural Network,[RealMLP (tuned + ensembled)](https://arxiv.org/abs/2407.04491),1480.0,+55/-47,0.478,15.91,8.8,10.677,3770.75,21.902,✔️,0.0,False,GPU
-5,🧠⚡,Foundation Model,[TabPFNv2 (tuned + ensembled) [8.33% IMPUTED]](https://www.nature.com/articles/s41586-024-08328-6),1477.0,+88/-62,0.535,16.07,6.21,10.319,3527.3,48.6,✔️,8.33,True,GPU
-6,🧠🔁,Neural Network,[LimiX (default) [0.31% IMPUTED]](https://arxiv.org/abs/2509.03505),1458.0,+84/-68,0.533,17.16,5.83,12.792,5.08,0.645,➖,0.31,True,GPU
-7,🧠🔁,Neural Network,[Mitra (default) [8.33% IMPUTED]](https://arxiv.org/abs/2510.21204),1456.0,+66/-56,0.503,17.31,6.73,11.33,126.84,3.094,✔️,8.33,True,GPU
-8,🧠⚡,Foundation Model,[TabDPT (tuned + ensembled)](https://arxiv.org/abs/2410.18164),1450.0,+80/-58,0.478,17.66,5.71,10.163,5119.36,218.711,✔️,0.0,False,GPU
-9,📊,Reference Pipeline,"[AutoGluon 1.4 (best, 4h)](https://arxiv.org/abs/2003.06505)",1440.0,+59/-46,0.389,18.24,9.93,11.759,3716.07,2.547,✔️,0.0,False,CPU
-10,🧠🔁,Neural Network,[TabM (tuned + ensembled)](https://arxiv.org/abs/2410.24210),1423.0,+50/-46,0.366,19.25,10.94,11.978,3553.12,1.741,✔️,0.0,False,GPU
-11,🧠⚡,Foundation Model,[TabDPT (tuned)](https://arxiv.org/abs/2410.18164),1416.0,+73/-56,0.434,19.69,6.68,11.021,5119.36,28.351,✔️,0.0,False,GPU
-12,🧠🔁,Neural Network,[RealMLP (tuned)](https://arxiv.org/abs/2407.04491),1397.0,+52/-40,0.328,20.91,11.05,12.196,3770.75,1.778,✔️,0.0,False,GPU
-13,🧠⚡,Foundation Model,[TabPFNv2 (tuned) [8.33% IMPUTED]](https://www.nature.com/articles/s41586-024-08328-6),1388.0,+76/-62,0.395,21.51,7.62,12.653,3527.3,0.817,✔️,8.33,True,GPU
-14,🌳,Tree-based,[LightGBM (tuned + ensembled)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1382.0,+33/-36,0.27,21.87,15.55,13.695,892.41,2.574,✔️,0.0,False,CPU
-15,🧠🔁,Neural Network,[TabM (tuned)](https://arxiv.org/abs/2410.24210),1362.0,+51/-50,0.279,23.16,12.65,12.944,3553.12,0.241,✔️,0.0,False,GPU
-16,🌳,Tree-based,[CatBoost (tuned + ensembled)](https://arxiv.org/abs/1706.09516),1357.0,+40/-43,0.226,23.55,16.24,13.813,2476.51,0.814,✔️,0.0,False,CPU
-17,🌳,Tree-based,[LightGBM (tuned)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1348.0,+33/-31,0.205,24.09,17.74,14.165,892.41,0.346,✔️,0.0,False,CPU
-18,🧠⚡,Foundation Model,[TabPFNv2 (default) [8.33% IMPUTED]](https://www.nature.com/articles/s41586-024-08328-6),1347.0,+75/-62,0.355,24.19,10.5,14.075,4.54,0.443,✔️,8.33,True,GPU
-19,🌳,Tree-based,[CatBoost (tuned)](https://arxiv.org/abs/1706.09516),1344.0,+45/-36,0.211,24.37,17.49,13.99,2476.51,0.101,✔️,0.0,False,CPU
-20,🧠⚡,Foundation Model,[TabDPT (default)](https://arxiv.org/abs/2410.18164),1336.0,+72/-68,0.349,24.92,7.81,13.628,50.32,43.709,✔️,0.0,False,GPU
-21,❓,Other,[xRFM (tuned + ensembled)](https://arxiv.org/abs/2508.10053),1330.0,+44/-41,0.223,25.3,14.85,14.393,1126.71,2.941,✔️,0.0,False,GPU
-22,🧠⚡,Foundation Model,[TabICL (default) [27.78% IMPUTED]](https://arxiv.org/abs/2502.05564),1326.0,+79/-107,0.322,25.58,8.67,14.163,7.15,1.47,✔️,27.78,True,GPU
-23,🧠🔁,Neural Network,[ModernNCA (tuned + ensembled)](https://arxiv.org/abs/2407.03257),1324.0,+62/-61,0.264,25.72,9.59,14.378,6521.96,8.396,✔️,0.0,False,GPU
-24,🧠🔁,Neural Network,[ModernNCA (tuned)](https://arxiv.org/abs/2407.03257),1322.0,+41/-42,0.194,25.87,11.58,14.134,6521.96,0.506,✔️,0.0,False,GPU
-25,🧠⚡,Foundation Model,[SAP-RPT-OSS (default)](https://arxiv.org/abs/2506.10707),1322.0,+67/-56,0.317,25.89,8.54,14.806,16.22,1.278,➖,0.0,False,GPU
-26,🌳,Tree-based,[XGBoost (tuned + ensembled)](https://arxiv.org/abs/1603.02754),1320.0,+38/-39,0.185,26.03,18.95,14.746,884.18,2.368,✔️,0.0,False,CPU
-27,🧠⚡,Foundation Model,[BetaTabPFN (default) [22.22% IMPUTED]](https://arxiv.org/abs/2502.02527),1307.0,+58/-62,0.283,26.92,13.29,15.841,296.89,1.835,➖,22.22,True,GPU
-28,🌳,Tree-based,[CatBoost (default)](https://arxiv.org/abs/1706.09516),1304.0,+37/-40,0.171,27.11,18.76,15.063,9.64,0.128,✔️,0.0,False,CPU
-29,🌳,Tree-based,[XGBoost (tuned)](https://arxiv.org/abs/1603.02754),1303.0,+36/-40,0.145,27.14,19.19,14.96,884.18,0.393,✔️,0.0,False,CPU
-30,🧠🔁,Neural Network,[TabM (default)](https://arxiv.org/abs/2410.24210),1289.0,+53/-48,0.215,28.13,16.66,15.279,13.18,0.17,✔️,0.0,False,GPU
-31,❓,Other,[xRFM (tuned)](https://arxiv.org/abs/2508.10053),1283.0,+40/-42,0.16,28.53,16.4,15.503,1126.71,0.163,✔️,0.0,False,GPU
-32,🧠🔁,Neural Network,[TorchMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1258.0,+42/-48,0.131,30.24,20.17,15.622,3865.95,2.158,✔️,0.0,False,CPU
-33,🌳,Tree-based,[EBM (tuned + ensembled)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1254.0,+42/-42,0.114,30.54,20.51,16.662,3351.28,0.47,✔️,0.0,False,CPU
-34,🧠🔁,Neural Network,[ModernNCA (default)](https://arxiv.org/abs/2407.03257),1237.0,+44/-50,0.107,31.7,17.83,17.774,16.27,0.321,✔️,0.0,False,GPU
-35,🌳,Tree-based,[EBM (tuned)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1225.0,+44/-43,0.085,32.5,20.25,17.251,3351.28,0.056,✔️,0.0,False,CPU
-36,🧠🔁,Neural Network,[RealMLP (default)](https://arxiv.org/abs/2407.04491),1219.0,+39/-42,0.081,32.91,22.02,16.595,15.69,4.691,✔️,0.0,False,GPU
-37,🧠🔁,Neural Network,[FastaiMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1214.0,+54/-59,0.134,33.19,18.51,17.653,1678.92,8.069,✔️,0.0,False,CPU
-38,🌳,Tree-based,[ExtraTrees (tuned + ensembled)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1209.0,+65/-62,0.116,33.58,20.11,19.235,499.14,1.466,✔️,0.0,False,CPU
-39,🌳,Tree-based,[EBM (default)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1196.0,+47/-53,0.082,34.43,21.23,18.212,9.08,0.057,✔️,0.0,False,CPU
-40,🧠🔁,Neural Network,[TorchMLP (tuned)](https://arxiv.org/abs/2003.06505),1190.0,+43/-48,0.082,34.79,22.65,17.492,3865.95,0.148,✔️,0.0,False,CPU
-41,🌳,Tree-based,[ExtraTrees (tuned)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1174.0,+61/-64,0.089,35.9,20.17,20.082,499.14,0.207,✔️,0.0,False,CPU
-42,🧠🔁,Neural Network,[FastaiMLP (tuned)](https://arxiv.org/abs/2003.06505),1165.0,+50/-51,0.06,36.43,22.27,18.816,1678.92,0.826,✔️,0.0,False,CPU
-43,🌳,Tree-based,[XGBoost (default)](https://arxiv.org/abs/1603.02754),1162.0,+30/-38,0.019,36.64,30.76,18.212,3.29,0.253,✔️,0.0,False,CPU
-44,🌳,Tree-based,[LightGBM (default)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1162.0,+39/-41,0.042,36.66,30.7,18.266,3.61,0.17,✔️,0.0,False,CPU
-45,🌳,Tree-based,[RandomForest (tuned + ensembled)](https://link.springer.com/article/10.1023/A:1010933404324),1154.0,+57/-68,0.083,37.12,22.17,20.541,590.04,1.461,✔️,0.0,False,CPU
-46,🌳,Tree-based,[RandomForest (tuned)](https://link.springer.com/article/10.1023/A:1010933404324),1113.0,+53/-70,0.046,39.68,22.0,21.335,590.04,0.15,✔️,0.0,False,CPU
-47,🧠🔁,Neural Network,[TorchMLP (default)](https://arxiv.org/abs/2003.06505),1056.0,+44/-50,0.011,42.97,32.81,21.902,13.69,0.155,✔️,0.0,False,CPU
-48,❓,Other,[xRFM (default)](https://arxiv.org/abs/2508.10053),1041.0,+67/-87,0.029,43.78,34.58,23.605,5.44,1.098,✔️,0.0,False,GPU
-49,🧠⚡,Foundation Model,[TabFlex (default) [22.22% IMPUTED]](https://arxiv.org/abs/2506.05584),1034.0,+79/-81,0.064,44.13,28.68,24.92,1.58,0.15,➖,22.22,True,GPU
-50,🌳,Tree-based,[RandomForest (default)](https://link.springer.com/article/10.1023/A:1010933404324),1000.0,+57/-78,0.005,45.87,39.78,25.923,0.51,0.089,✔️,0.0,False,CPU
-51,🧠🔁,Neural Network,[FastaiMLP (default)](https://arxiv.org/abs/2003.06505),1000.0,+50/-64,0.0,45.88,31.99,24.141,5.48,0.685,✔️,0.0,False,CPU
-52,📏,Baseline,[KNN (tuned + ensembled)](https://scikit-learn.org/stable/modules/neighbors.html),996.0,+69/-101,0.024,46.07,30.38,27.061,111.84,1.215,✔️,0.0,False,CPU
-53,🌳,Tree-based,[ExtraTrees (default)](https://link.springer.com/article/10.1007/s10994-006-6226-1),995.0,+70/-76,0.012,46.09,39.34,26.744,0.47,0.092,✔️,0.0,False,CPU
-54,📏,Baseline,[Linear (tuned + ensembled)](https://scikit-learn.org/stable/modules/linear_model.html),966.0,+83/-95,0.039,47.43,33.46,31.777,520.95,0.647,✔️,0.0,False,CPU
-55,📏,Baseline,[Linear (tuned)](https://scikit-learn.org/stable/modules/linear_model.html),944.0,+80/-100,0.027,48.4,35.22,32.224,520.95,0.113,✔️,0.0,False,CPU
-56,📏,Baseline,[KNN (tuned)](https://scikit-learn.org/stable/modules/neighbors.html),908.0,+72/-97,0.011,49.86,35.05,31.961,111.84,0.111,✔️,0.0,False,CPU
-57,📏,Baseline,[Linear (default)](https://scikit-learn.org/stable/modules/linear_model.html),866.0,+97/-120,0.017,51.34,38.24,35.188,2.59,0.138,✔️,0.0,False,CPU
-58,📏,Baseline,[KNN (default)](https://scikit-learn.org/stable/modules/neighbors.html),653.0,+114/-151,0.0,56.4,49.34,45.421,0.37,0.033,✔️,0.0,False,CPU
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-#,Type,TypeName,Model,Elo [⬆️],Elo 95% CI,Score [⬆️],Rank [⬇️],Harmonic Rank [⬇️],Improvability (%) [⬇️],Median Train Time (s/1K) [⬇️],Median Predict Time (s/1K) [⬇️],Verified,Imputed (%) [⬇️],Imputed,Hardware
-0,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned + ensembled)](https://arxiv.org/abs/2511.08667),1629.0,+92/-69,0.735,9.75,3.53,5.593,2166.18,7.945,✔️,0.0,False,GPU
-1,📊,Reference Pipeline,"[AutoGluon 1.4 (extreme, 4h)](https://arxiv.org/abs/2003.06505)",1624.0,+76/-54,0.705,9.94,4.61,7.954,611.55,7.01,✔️,0.0,False,GPU
-2,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (default)](https://arxiv.org/abs/2511.08667),1591.0,+65/-62,0.706,11.36,5.64,7.252,6.14,0.586,✔️,0.0,False,GPU
-3,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned)](https://arxiv.org/abs/2511.08667),1586.0,+72/-61,0.682,11.55,4.42,6.69,2166.18,0.993,✔️,0.0,False,GPU
-4,🧠⚡,Foundation Model,[TabPFNv2 (tuned + ensembled)](https://www.nature.com/articles/s41586-024-08328-6),1537.0,+74/-48,0.58,13.94,5.78,9.769,3899.42,55.833,✔️,0.0,False,GPU
-5,🧠🔁,Neural Network,[Mitra (default)](https://arxiv.org/abs/2510.21204),1509.0,+72/-47,0.545,15.42,6.28,10.881,136.59,3.391,✔️,0.0,False,GPU
-6,🧠🔁,Neural Network,[RealMLP (tuned + ensembled)](https://arxiv.org/abs/2407.04491),1502.0,+55/-44,0.49,15.77,8.62,11.376,3547.04,20.963,✔️,0.0,False,GPU
-7,🧠🔁,Neural Network,[LimiX (default)](https://arxiv.org/abs/2509.03505),1497.0,+73/-69,0.565,16.06,5.7,13.417,4.85,0.629,➖,0.0,False,GPU
-8,🧠⚡,Foundation Model,[TabDPT (tuned + ensembled)](https://arxiv.org/abs/2410.18164),1459.0,+74/-61,0.463,18.28,5.84,10.903,4980.83,207.372,✔️,0.0,False,GPU
-9,📊,Reference Pipeline,"[AutoGluon 1.4 (best, 4h)](https://arxiv.org/abs/2003.06505)",1450.0,+47/-47,0.381,18.78,10.5,12.535,3376.59,2.54,✔️,0.0,False,CPU
-10,🧠🔁,Neural Network,[TabM (tuned + ensembled)](https://arxiv.org/abs/2410.24210),1439.0,+53/-51,0.362,19.5,10.76,12.763,3372.56,1.658,✔️,0.0,False,GPU
-11,🧠⚡,Foundation Model,[TabDPT (tuned)](https://arxiv.org/abs/2410.18164),1434.0,+78/-68,0.433,19.79,6.48,11.675,4980.83,23.583,✔️,0.0,False,GPU
-12,🧠⚡,Foundation Model,[TabPFNv2 (tuned)](https://www.nature.com/articles/s41586-024-08328-6),1432.0,+80/-68,0.428,19.88,7.12,12.316,3899.42,0.983,✔️,0.0,False,GPU
-13,🧠🔁,Neural Network,[RealMLP (tuned)](https://arxiv.org/abs/2407.04491),1415.0,+57/-45,0.334,20.95,10.96,12.924,3547.04,1.57,✔️,0.0,False,GPU
-14,🌳,Tree-based,[LightGBM (tuned + ensembled)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1390.0,+38/-35,0.249,22.59,16.02,14.69,771.57,2.49,✔️,0.0,False,CPU
-15,🧠⚡,Foundation Model,[TabPFNv2 (default)](https://www.nature.com/articles/s41586-024-08328-6),1385.0,+68/-69,0.384,22.93,9.9,13.876,4.22,0.554,✔️,0.0,False,GPU
-16,🧠🔁,Neural Network,[TabM (tuned)](https://arxiv.org/abs/2410.24210),1377.0,+55/-51,0.273,23.43,12.42,13.762,3372.56,0.208,✔️,0.0,False,GPU
-17,🌳,Tree-based,[CatBoost (tuned + ensembled)](https://arxiv.org/abs/1706.09516),1376.0,+43/-38,0.232,23.49,15.93,14.7,2034.85,0.805,✔️,0.0,False,CPU
-18,🌳,Tree-based,[CatBoost (tuned)](https://arxiv.org/abs/1706.09516),1362.0,+38/-33,0.214,24.42,17.43,14.898,2034.85,0.097,✔️,0.0,False,CPU
-19,🧠⚡,Foundation Model,[TabICL (default) [21.21% IMPUTED]](https://arxiv.org/abs/2502.05564),1361.0,+76/-84,0.348,24.45,8.14,13.972,7.27,1.64,✔️,21.21,True,GPU
-20,🧠⚡,Foundation Model,[TabDPT (default)](https://arxiv.org/abs/2410.18164),1360.0,+90/-63,0.372,24.54,7.36,14.337,48.9,43.804,✔️,0.0,False,GPU
-21,🧠⚡,Foundation Model,[SAP-RPT-OSS (default)](https://arxiv.org/abs/2506.10707),1358.0,+65/-67,0.342,24.68,8.22,15.317,14.11,1.17,➖,0.0,False,GPU
-22,🌳,Tree-based,[LightGBM (tuned)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1356.0,+35/-29,0.184,24.77,18.1,15.167,771.57,0.322,✔️,0.0,False,CPU
-23,❓,Other,[xRFM (tuned + ensembled)](https://arxiv.org/abs/2508.10053),1336.0,+50/-45,0.203,26.12,15.58,15.403,1105.59,2.552,✔️,0.0,False,GPU
-24,🧠⚡,Foundation Model,[BetaTabPFN (default) [21.21% IMPUTED]](https://arxiv.org/abs/2502.02527),1336.0,+64/-78,0.287,26.15,12.79,16.406,303.08,1.792,➖,21.21,True,GPU
-25,🧠🔁,Neural Network,[ModernNCA (tuned)](https://arxiv.org/abs/2407.03257),1332.0,+45/-48,0.172,26.38,12.53,14.988,6147.69,0.485,✔️,0.0,False,GPU
-26,🌳,Tree-based,[XGBoost (tuned + ensembled)](https://arxiv.org/abs/1603.02754),1332.0,+38/-36,0.178,26.38,19.61,15.76,828.74,2.312,✔️,0.0,False,CPU
-27,🧠🔁,Neural Network,[ModernNCA (tuned + ensembled)](https://arxiv.org/abs/2407.03257),1332.0,+72/-65,0.251,26.38,11.85,15.418,6147.69,8.149,✔️,0.0,False,GPU
-28,🌳,Tree-based,[CatBoost (default)](https://arxiv.org/abs/1706.09516),1320.0,+47/-44,0.173,27.19,18.39,16.029,8.51,0.123,✔️,0.0,False,CPU
-29,🌳,Tree-based,[XGBoost (tuned)](https://arxiv.org/abs/1603.02754),1315.0,+35/-33,0.137,27.56,19.62,15.977,828.74,0.336,✔️,0.0,False,CPU
-30,🧠🔁,Neural Network,[TabM (default)](https://arxiv.org/abs/2410.24210),1308.0,+54/-52,0.214,28.07,16.14,16.108,12.24,0.154,✔️,0.0,False,GPU
-31,❓,Other,[xRFM (tuned)](https://arxiv.org/abs/2508.10053),1292.0,+45/-40,0.15,29.09,17.22,16.529,1105.59,0.13,✔️,0.0,False,GPU
-32,🌳,Tree-based,[EBM (tuned + ensembled)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1277.0,+47/-43,0.11,30.13,19.88,17.517,2929.85,0.433,✔️,0.0,False,CPU
-33,🧠🔁,Neural Network,[TorchMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1269.0,+45/-54,0.123,30.67,21.7,16.52,3704.3,2.074,✔️,0.0,False,CPU
-34,🧠🔁,Neural Network,[ModernNCA (default)](https://arxiv.org/abs/2407.03257),1264.0,+45/-40,0.115,30.97,17.06,18.117,16.16,0.307,✔️,0.0,False,GPU
-35,🌳,Tree-based,[EBM (tuned)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1247.0,+50/-47,0.079,32.14,19.58,18.12,2929.85,0.054,✔️,0.0,False,CPU
-36,🧠🔁,Neural Network,[RealMLP (default)](https://arxiv.org/abs/2407.04491),1241.0,+40/-38,0.08,32.55,21.45,17.211,15.48,4.535,✔️,0.0,False,GPU
-37,🧠🔁,Neural Network,[FastaiMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1232.0,+50/-60,0.136,33.13,17.94,18.549,1459.62,8.056,✔️,0.0,False,CPU
-38,🌳,Tree-based,[EBM (default)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1215.0,+48/-51,0.066,34.26,21.33,18.983,8.47,0.054,✔️,0.0,False,CPU
-39,🌳,Tree-based,[ExtraTrees (tuned + ensembled)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1210.0,+58/-56,0.097,34.61,23.12,20.521,416.39,1.393,✔️,0.0,False,CPU
-40,🧠🔁,Neural Network,[TorchMLP (tuned)](https://arxiv.org/abs/2003.06505),1200.0,+42/-46,0.066,35.27,22.66,18.411,3704.3,0.143,✔️,0.0,False,CPU
-41,🧠🔁,Neural Network,[FastaiMLP (tuned)](https://arxiv.org/abs/2003.06505),1179.0,+54/-60,0.059,36.58,22.2,19.732,1459.62,0.89,✔️,0.0,False,CPU
-42,🌳,Tree-based,[ExtraTrees (tuned)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1176.0,+57/-56,0.066,36.77,24.17,21.341,416.39,0.179,✔️,0.0,False,CPU
-43,🌳,Tree-based,[XGBoost (default)](https://arxiv.org/abs/1603.02754),1171.0,+34/-38,0.017,37.08,31.68,19.343,3.05,0.241,✔️,0.0,False,CPU
-44,🌳,Tree-based,[LightGBM (default)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1157.0,+35/-42,0.021,37.97,33.22,19.548,3.39,0.158,✔️,0.0,False,CPU
-45,🌳,Tree-based,[RandomForest (tuned + ensembled)](https://link.springer.com/article/10.1023/A:1010933404324),1142.0,+54/-55,0.049,38.88,26.8,22.034,572.67,1.421,✔️,0.0,False,CPU
-46,🌳,Tree-based,[RandomForest (tuned)](https://link.springer.com/article/10.1023/A:1010933404324),1103.0,+46/-46,0.017,41.21,28.79,22.81,572.67,0.143,✔️,0.0,False,CPU
-47,🧠🔁,Neural Network,[TorchMLP (default)](https://arxiv.org/abs/2003.06505),1066.0,+50/-58,0.012,43.23,32.44,22.893,11.82,0.147,✔️,0.0,False,CPU
-48,🧠⚡,Foundation Model,[TabFlex (default) [21.21% IMPUTED]](https://arxiv.org/abs/2506.05584),1055.0,+80/-87,0.07,43.85,27.72,25.704,1.19,0.15,➖,21.21,True,GPU
-49,❓,Other,[xRFM (default)](https://arxiv.org/abs/2508.10053),1054.0,+70/-84,0.032,43.91,34.06,24.949,5.39,1.034,✔️,0.0,False,GPU
-50,🧠🔁,Neural Network,[FastaiMLP (default)](https://arxiv.org/abs/2003.06505),1009.0,+51/-66,0.0,46.15,31.38,24.988,5.18,0.652,✔️,0.0,False,CPU
-51,🌳,Tree-based,[ExtraTrees (default)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1006.0,+80/-85,0.013,46.27,39.04,27.535,0.42,0.078,✔️,0.0,False,CPU
-52,📏,Baseline,[KNN (tuned + ensembled)](https://scikit-learn.org/stable/modules/neighbors.html),1001.0,+72/-85,0.014,46.51,33.74,28.342,100.58,1.106,✔️,0.0,False,CPU
-53,🌳,Tree-based,[RandomForest (default)](https://link.springer.com/article/10.1023/A:1010933404324),1000.0,+53/-70,0.002,46.57,40.81,26.801,0.47,0.069,✔️,0.0,False,CPU
-54,📏,Baseline,[Linear (tuned + ensembled)](https://scikit-learn.org/stable/modules/linear_model.html),999.0,+71/-105,0.043,46.61,32.26,31.494,504.17,0.629,✔️,0.0,False,CPU
-55,📏,Baseline,[Linear (tuned)](https://scikit-learn.org/stable/modules/linear_model.html),977.0,+72/-105,0.029,47.62,34.03,31.903,504.17,0.103,✔️,0.0,False,CPU
-56,📏,Baseline,[KNN (tuned)](https://scikit-learn.org/stable/modules/neighbors.html),904.0,+77/-102,0.001,50.52,36.14,33.482,100.58,0.101,✔️,0.0,False,CPU
-57,📏,Baseline,[Linear (default)](https://scikit-learn.org/stable/modules/linear_model.html),900.0,+78/-122,0.018,50.67,37.06,34.361,2.51,0.137,✔️,0.0,False,CPU
-58,📏,Baseline,[KNN (default)](https://scikit-learn.org/stable/modules/neighbors.html),677.0,+96/-160,0.0,56.27,48.7,45.788,0.29,0.028,✔️,0.0,False,CPU
diff --git a/data/imputation_yes/splits_all/tasks_all/datasets_tabpfn/winrate_matrix.png.zip b/data/imputation_yes/splits_all/tasks_all/datasets_tabpfn/winrate_matrix.png.zip
deleted file mode 100644
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-#,Type,TypeName,Model,Elo [⬆️],Elo 95% CI,Score [⬆️],Rank [⬇️],Harmonic Rank [⬇️],Improvability (%) [⬇️],Median Train Time (s/1K) [⬇️],Median Predict Time (s/1K) [⬇️],Verified,Imputed (%) [⬇️],Imputed,Hardware
-0,📊,Reference Pipeline,"[AutoGluon 1.4 (extreme, 4h)](https://arxiv.org/abs/2003.06505)",1622.0,+89/-65,0.744,9.1,3.52,6.178,442.09,6.381,✔️,0.0,False,GPU
-1,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned + ensembled)](https://arxiv.org/abs/2511.08667),1553.0,+101/-58,0.642,12.06,4.41,6.446,1923.88,9.103,✔️,0.0,False,GPU
-2,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (default)](https://arxiv.org/abs/2511.08667),1530.0,+91/-51,0.635,13.2,6.16,7.53,4.91,0.694,✔️,0.0,False,GPU
-3,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned)](https://arxiv.org/abs/2511.08667),1521.0,+94/-55,0.594,13.66,5.27,7.555,1923.88,1.329,✔️,0.0,False,GPU
-4,📊,Reference Pipeline,"[AutoGluon 1.4 (best, 4h)](https://arxiv.org/abs/2003.06505)",1483.0,+72/-60,0.512,15.72,5.78,9.442,1152.95,1.784,✔️,0.0,False,CPU
-5,🧠🔁,Neural Network,[RealMLP (tuned + ensembled)](https://arxiv.org/abs/2407.04491),1471.0,+48/-54,0.45,16.4,10.21,10.551,2775.44,8.849,✔️,0.0,False,GPU
-6,🧠⚡,Foundation Model,[TabICL (default) [3.33% IMPUTED]](https://arxiv.org/abs/2502.05564),1448.0,+63/-54,0.465,17.8,6.78,9.808,8.06,1.743,✔️,3.33,True,GPU
-7,🧠🔁,Neural Network,[TabM (tuned + ensembled)](https://arxiv.org/abs/2410.24210),1447.0,+66/-50,0.403,17.85,8.23,11.202,2229.7,1.387,✔️,0.0,False,GPU
-8,🌳,Tree-based,[LightGBM (tuned + ensembled)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1414.0,+52/-37,0.337,19.94,12.33,12.695,328.96,1.102,✔️,0.0,False,CPU
-9,🧠⚡,Foundation Model,[TabDPT (tuned + ensembled)](https://arxiv.org/abs/2410.18164),1405.0,+66/-56,0.386,20.51,6.99,9.55,4982.66,358.753,✔️,0.0,False,GPU
-10,🧠🔁,Neural Network,[LimiX (default) [17.04% IMPUTED]](https://arxiv.org/abs/2509.03505),1399.0,+82/-74,0.461,20.91,6.91,13.142,1.92,0.489,➖,17.04,True,GPU
-11,🧠🔁,Neural Network,[TabM (tuned)](https://arxiv.org/abs/2410.24210),1392.0,+73/-56,0.326,21.38,9.78,12.114,2229.7,0.133,✔️,0.0,False,GPU
-12,🌳,Tree-based,[CatBoost (tuned + ensembled)](https://arxiv.org/abs/1706.09516),1387.0,+61/-51,0.309,21.72,11.15,12.473,1055.6,0.482,✔️,0.0,False,CPU
-13,🌳,Tree-based,[CatBoost (tuned)](https://arxiv.org/abs/1706.09516),1382.0,+60/-53,0.318,22.03,10.14,12.568,1055.6,0.063,✔️,0.0,False,CPU
-14,🌳,Tree-based,[CatBoost (default)](https://arxiv.org/abs/1706.09516),1381.0,+54/-52,0.325,22.12,10.58,12.444,4.27,0.064,✔️,0.0,False,CPU
-15,🧠🔁,Neural Network,[RealMLP (tuned)](https://arxiv.org/abs/2407.04491),1378.0,+50/-53,0.273,22.27,11.46,12.341,2775.44,0.415,✔️,0.0,False,GPU
-16,🌳,Tree-based,[LightGBM (tuned)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1365.0,+38/-30,0.235,23.2,15.51,13.55,328.96,0.126,✔️,0.0,False,CPU
-17,🌳,Tree-based,[XGBoost (tuned + ensembled)](https://arxiv.org/abs/1603.02754),1364.0,+62/-49,0.281,23.27,12.54,13.598,472.99,0.621,✔️,0.0,False,CPU
-18,🧠⚡,Foundation Model,[BetaTabPFN (default)](https://arxiv.org/abs/2502.02527),1363.0,+60/-54,0.321,23.33,11.66,14.462,250.36,1.708,➖,0.0,False,GPU
-19,🧠🔁,Neural Network,[ModernNCA (tuned + ensembled)](https://arxiv.org/abs/2407.03257),1349.0,+90/-92,0.35,24.28,9.59,13.268,3383.91,8.396,✔️,0.0,False,GPU
-20,🧠🔁,Neural Network,[ModernNCA (tuned)](https://arxiv.org/abs/2407.03257),1349.0,+46/-57,0.238,24.28,11.66,13.228,3383.91,0.51,✔️,0.0,False,GPU
-21,🧠⚡,Foundation Model,[TabDPT (tuned)](https://arxiv.org/abs/2410.18164),1343.0,+59/-53,0.274,24.7,8.63,11.238,4982.66,42.199,✔️,0.0,False,GPU
-22,🧠🔁,Neural Network,[Mitra (default) [33.33% IMPUTED]](https://arxiv.org/abs/2510.21204),1336.0,+85/-81,0.392,25.19,8.37,14.071,103.86,2.616,✔️,33.33,True,GPU
-23,🌳,Tree-based,[XGBoost (tuned)](https://arxiv.org/abs/1603.02754),1332.0,+47/-40,0.207,25.42,15.95,14.112,472.99,0.13,✔️,0.0,False,CPU
-24,🧠⚡,Foundation Model,[TabPFNv2 (tuned + ensembled) [33.33% IMPUTED]](https://www.nature.com/articles/s41586-024-08328-6),1329.0,+86/-76,0.342,25.66,8.82,14.037,3031.01,27.044,✔️,33.33,True,GPU
-25,❓,Other,[xRFM (tuned + ensembled)](https://arxiv.org/abs/2508.10053),1315.0,+57/-52,0.181,26.62,15.61,14.232,642.33,2.767,✔️,0.0,False,GPU
-26,🧠🔁,Neural Network,[TorchMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1302.0,+48/-40,0.179,27.55,18.31,13.85,2241.65,2.415,✔️,0.0,False,CPU
-27,🧠🔁,Neural Network,[TabM (default)](https://arxiv.org/abs/2410.24210),1298.0,+64/-63,0.224,27.84,15.26,14.804,8.72,0.126,✔️,0.0,False,GPU
-28,🌳,Tree-based,[EBM (tuned + ensembled)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1294.0,+48/-42,0.151,28.12,18.34,15.717,1560.02,0.404,✔️,0.0,False,CPU
-29,❓,Other,[xRFM (tuned)](https://arxiv.org/abs/2508.10053),1288.0,+46/-56,0.143,28.5,16.61,15.503,642.33,0.146,✔️,0.0,False,GPU
-30,🧠⚡,Foundation Model,[SAP-RPT-OSS (default)](https://arxiv.org/abs/2506.10707),1283.0,+60/-58,0.196,28.88,12.54,16.251,12.86,3.167,➖,0.0,False,GPU
-31,🧠⚡,Foundation Model,[TabPFNv2 (tuned) [33.33% IMPUTED]](https://www.nature.com/articles/s41586-024-08328-6),1282.0,+79/-74,0.271,28.91,9.11,15.859,3031.01,0.514,✔️,33.33,True,GPU
-32,🧠⚡,Foundation Model,[TabDPT (default)](https://arxiv.org/abs/2410.18164),1269.0,+62/-70,0.224,29.87,11.33,14.603,49.67,43.824,✔️,0.0,False,GPU
-33,🌳,Tree-based,[EBM (tuned)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1261.0,+47/-45,0.1,30.39,19.21,16.428,1560.02,0.052,✔️,0.0,False,CPU
-34,🧠🔁,Neural Network,[ModernNCA (default)](https://arxiv.org/abs/2407.03257),1257.0,+45/-40,0.123,30.67,16.95,16.27,13.5,0.311,✔️,0.0,False,GPU
-35,🧠🔁,Neural Network,[FastaiMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1255.0,+58/-55,0.139,30.82,18.73,15.872,559.38,4.08,✔️,0.0,False,CPU
-36,🧠⚡,Foundation Model,[TabPFNv2 (default) [33.33% IMPUTED]](https://www.nature.com/articles/s41586-024-08328-6),1255.0,+80/-80,0.265,30.82,11.94,17.252,2.71,0.276,✔️,33.33,True,GPU
-37,🧠🔁,Neural Network,[RealMLP (default)](https://arxiv.org/abs/2407.04491),1252.0,+43/-44,0.096,31.02,20.55,15.186,9.33,1.116,✔️,0.0,False,GPU
-38,🌳,Tree-based,[EBM (default)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1236.0,+48/-48,0.098,32.15,19.88,17.481,4.98,0.049,✔️,0.0,False,CPU
-39,🌳,Tree-based,[XGBoost (default)](https://arxiv.org/abs/1603.02754),1222.0,+66/-56,0.098,33.12,22.35,16.741,1.24,0.11,✔️,0.0,False,CPU
-40,🧠🔁,Neural Network,[TorchMLP (tuned)](https://arxiv.org/abs/2003.06505),1215.0,+44/-38,0.069,33.59,22.92,16.046,2241.65,0.136,✔️,0.0,False,CPU
-41,🧠🔁,Neural Network,[FastaiMLP (tuned)](https://arxiv.org/abs/2003.06505),1185.0,+57/-59,0.053,35.61,22.79,17.902,559.38,0.276,✔️,0.0,False,CPU
-42,🌳,Tree-based,[ExtraTrees (tuned + ensembled)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1183.0,+47/-46,0.045,35.73,25.84,18.377,125.38,0.674,✔️,0.0,False,CPU
-43,🌳,Tree-based,[LightGBM (default)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1174.0,+47/-36,0.044,36.37,30.97,17.518,0.81,0.093,✔️,0.0,False,CPU
-44,🌳,Tree-based,[RandomForest (tuned + ensembled)](https://link.springer.com/article/10.1023/A:1010933404324),1153.0,+50/-57,0.031,37.69,26.14,19.721,169.75,0.603,✔️,0.0,False,CPU
-45,🌳,Tree-based,[ExtraTrees (tuned)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1143.0,+50/-48,0.025,38.33,28.36,19.532,125.38,0.069,✔️,0.0,False,CPU
-46,🌳,Tree-based,[RandomForest (tuned)](https://link.springer.com/article/10.1023/A:1010933404324),1119.0,+42/-57,0.011,39.84,28.41,20.45,169.75,0.059,✔️,0.0,False,CPU
-47,🧠🔁,Neural Network,[TorchMLP (default)](https://arxiv.org/abs/2003.06505),1093.0,+53/-48,0.013,41.43,31.96,20.434,4.95,0.091,✔️,0.0,False,CPU
-48,🧠🔁,Neural Network,[FastaiMLP (default)](https://arxiv.org/abs/2003.06505),1056.0,+60/-77,0.015,43.52,28.3,21.82,2.56,0.267,✔️,0.0,False,CPU
-49,📏,Baseline,[Linear (tuned + ensembled)](https://scikit-learn.org/stable/modules/linear_model.html),1050.0,+83/-98,0.053,43.85,29.51,27.138,162.68,0.405,✔️,0.0,False,CPU
-50,🧠⚡,Foundation Model,[TabFlex (default)](https://arxiv.org/abs/2506.05584),1040.0,+102/-103,0.077,44.38,26.98,25.899,0.85,0.129,➖,0.0,False,GPU
-51,📏,Baseline,[KNN (tuned + ensembled)](https://scikit-learn.org/stable/modules/neighbors.html),1028.0,+61/-93,0.017,45.01,32.01,24.552,139.84,3.917,✔️,0.0,False,CPU
-52,📏,Baseline,[Linear (tuned)](https://scikit-learn.org/stable/modules/linear_model.html),1022.0,+87/-119,0.035,45.32,31.62,27.83,162.68,0.054,✔️,0.0,False,CPU
-53,🌳,Tree-based,[RandomForest (default)](https://link.springer.com/article/10.1023/A:1010933404324),1000.0,+63/-69,0.006,46.39,39.96,24.634,0.25,0.029,✔️,0.0,False,CPU
-54,❓,Other,[xRFM (default)](https://arxiv.org/abs/2508.10053),976.0,+72/-99,0.013,47.53,38.88,26.921,2.8,0.564,✔️,0.0,False,GPU
-55,📏,Baseline,[Linear (default)](https://scikit-learn.org/stable/modules/linear_model.html),962.0,+76/-110,0.02,48.15,34.66,29.763,0.84,0.094,✔️,0.0,False,CPU
-56,🌳,Tree-based,[ExtraTrees (default)](https://link.springer.com/article/10.1007/s10994-006-6226-1),947.0,+71/-95,0.008,48.76,42.35,26.102,0.2,0.037,✔️,0.0,False,CPU
-57,📏,Baseline,[KNN (tuned)](https://scikit-learn.org/stable/modules/neighbors.html),917.0,+76/-127,0.001,49.94,35.87,29.648,139.84,0.193,✔️,0.0,False,CPU
-58,📏,Baseline,[KNN (default)](https://scikit-learn.org/stable/modules/neighbors.html),593.0,+110/-191,0.0,57.28,52.85,44.116,0.15,0.023,✔️,0.0,False,CPU
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diff --git a/data/imputation_yes/splits_all/tasks_binary/datasets_medium/website_leaderboard.csv b/data/imputation_yes/splits_all/tasks_binary/datasets_medium/website_leaderboard.csv
deleted file mode 100644
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-#,Type,TypeName,Model,Elo [⬆️],Elo 95% CI,Score [⬆️],Rank [⬇️],Harmonic Rank [⬇️],Improvability (%) [⬇️],Median Train Time (s/1K) [⬇️],Median Predict Time (s/1K) [⬇️],Verified,Imputed (%) [⬇️],Imputed,Hardware
-0,📊,Reference Pipeline,"[AutoGluon 1.4 (extreme, 4h)](https://arxiv.org/abs/2003.06505)",1954.0,+158/-59,0.905,5.04,2.43,2.22,275.07,2.448,✔️,0.0,False,GPU
-1,📊,Reference Pipeline,"[AutoGluon 1.4 (best, 4h)](https://arxiv.org/abs/2003.06505)",1888.0,+177/-63,0.852,6.57,2.71,2.498,325.91,2.156,✔️,0.0,False,CPU
-2,🌳,Tree-based,[CatBoost (tuned + ensembled)](https://arxiv.org/abs/1706.09516),1747.0,+146/-88,0.634,11.21,5.89,4.733,619.15,0.198,✔️,0.0,False,CPU
-3,🌳,Tree-based,[CatBoost (tuned)](https://arxiv.org/abs/1706.09516),1741.0,+143/-86,0.64,11.43,4.9,5.026,619.15,0.016,✔️,0.0,False,CPU
-4,🧠🔁,Neural Network,[RealMLP (tuned + ensembled)](https://arxiv.org/abs/2407.04491),1738.0,+117/-40,0.577,11.54,8.06,5.448,1633.8,2.053,✔️,0.0,False,GPU
-5,🌳,Tree-based,[CatBoost (default)](https://arxiv.org/abs/1706.09516),1724.0,+130/-78,0.634,12.13,5.58,4.771,2.21,0.025,✔️,0.0,False,CPU
-6,🌳,Tree-based,[XGBoost (tuned + ensembled)](https://arxiv.org/abs/1603.02754),1707.0,+148/-88,0.546,12.85,7.1,7.516,110.13,0.386,✔️,0.0,False,CPU
-7,🌳,Tree-based,[LightGBM (tuned + ensembled)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1691.0,+147/-80,0.527,13.54,8.6,7.932,86.85,0.668,✔️,0.0,False,CPU
-8,🧠🔁,Neural Network,[TabM (tuned + ensembled)](https://arxiv.org/abs/2410.24210),1669.0,+200/-135,0.515,14.52,5.62,7.278,804.65,0.71,✔️,0.0,False,GPU
-9,🧠🔁,Neural Network,[ModernNCA (tuned + ensembled)](https://arxiv.org/abs/2407.03257),1667.0,+148/-140,0.547,14.62,7.15,6.915,2139.17,6.41,✔️,0.0,False,GPU
-10,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned + ensembled)](https://arxiv.org/abs/2511.08667),1650.0,+207/-120,0.491,15.4,5.4,8.389,842.24,15.119,✔️,0.0,False,GPU
-11,🧠🔁,Neural Network,[RealMLP (tuned)](https://arxiv.org/abs/2407.04491),1639.0,+125/-66,0.378,15.94,8.85,7.036,1633.8,0.088,✔️,0.0,False,GPU
-12,🌳,Tree-based,[XGBoost (tuned)](https://arxiv.org/abs/1603.02754),1631.0,+117/-75,0.422,16.33,11.69,8.384,110.13,0.061,✔️,0.0,False,CPU
-13,🧠🔁,Neural Network,[TabM (tuned)](https://arxiv.org/abs/2410.24210),1613.0,+198/-157,0.46,17.2,6.32,7.986,804.65,0.063,✔️,0.0,False,GPU
-14,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned)](https://arxiv.org/abs/2511.08667),1600.0,+197/-114,0.423,17.84,6.91,9.041,842.24,1.465,✔️,0.0,False,GPU
-15,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (default)](https://arxiv.org/abs/2511.08667),1574.0,+158/-128,0.42,19.14,8.0,8.638,2.3,0.896,✔️,0.0,False,GPU
-16,🌳,Tree-based,[LightGBM (tuned)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1569.0,+159/-87,0.328,19.43,12.28,9.749,86.85,0.078,✔️,0.0,False,CPU
-17,🧠⚡,Foundation Model,[TabICL (default)](https://arxiv.org/abs/2502.05564),1556.0,+164/-164,0.423,20.12,8.65,9.22,8.53,3.578,✔️,0.0,False,GPU
-18,🧠🔁,Neural Network,[ModernNCA (tuned)](https://arxiv.org/abs/2407.03257),1542.0,+121/-82,0.258,20.83,13.71,9.79,2139.17,0.349,✔️,0.0,False,GPU
-19,🧠⚡,Foundation Model,[TabDPT (tuned + ensembled)](https://arxiv.org/abs/2410.18164),1526.0,+171/-154,0.35,21.65,7.61,9.027,4860.88,475.791,✔️,0.0,False,GPU
-20,🧠🔁,Neural Network,[TorchMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1516.0,+97/-111,0.251,22.2,14.71,9.128,1156.69,1.558,✔️,0.0,False,CPU
-21,❓,Other,[xRFM (tuned + ensembled)](https://arxiv.org/abs/2508.10053),1482.0,+144/-102,0.197,24.1,15.33,10.686,572.82,1.935,✔️,0.0,False,GPU
-22,🌳,Tree-based,[EBM (tuned + ensembled)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1468.0,+127/-108,0.178,24.83,18.2,12.878,270.2,0.192,✔️,0.0,False,CPU
-23,🌳,Tree-based,[XGBoost (default)](https://arxiv.org/abs/1603.02754),1454.0,+121/-141,0.23,25.65,15.21,10.869,0.49,0.053,✔️,0.0,False,CPU
-24,❓,Other,[xRFM (tuned)](https://arxiv.org/abs/2508.10053),1448.0,+132/-113,0.164,25.98,19.56,12.706,572.82,0.109,✔️,0.0,False,GPU
-25,🧠🔁,Neural Network,[TabM (default)](https://arxiv.org/abs/2410.24210),1444.0,+152/-176,0.246,26.2,14.75,10.498,5.5,0.074,✔️,0.0,False,GPU
-26,🧠🔁,Neural Network,[FastaiMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1423.0,+106/-128,0.126,27.38,20.92,11.44,371.59,2.386,✔️,0.0,False,CPU
-27,🧠🔁,Neural Network,[RealMLP (default)](https://arxiv.org/abs/2407.04491),1421.0,+82/-64,0.083,27.49,24.18,10.931,6.41,0.247,✔️,0.0,False,GPU
-28,🧠⚡,Foundation Model,[BetaTabPFN (default)](https://arxiv.org/abs/2502.02527),1409.0,+121/-134,0.14,28.16,20.48,13.968,96.61,0.754,➖,0.0,False,GPU
-29,🌳,Tree-based,[EBM (tuned)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1396.0,+126/-104,0.094,28.89,24.54,14.005,270.2,0.015,✔️,0.0,False,CPU
-30,🧠🔁,Neural Network,[TorchMLP (tuned)](https://arxiv.org/abs/2003.06505),1372.0,+98/-130,0.074,30.23,23.87,11.539,1156.69,0.054,✔️,0.0,False,CPU
-31,🧠⚡,Foundation Model,[TabDPT (tuned)](https://arxiv.org/abs/2410.18164),1364.0,+128/-130,0.089,30.65,19.2,12.77,4860.88,42.641,✔️,0.0,False,GPU
-32,🌳,Tree-based,[EBM (default)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1353.0,+128/-112,0.054,31.25,26.91,15.839,1.07,0.018,✔️,0.0,False,CPU
-33,🧠🔁,Neural Network,[LimiX (default) [55.56% IMPUTED]](https://arxiv.org/abs/2509.03505),1347.0,+203/-227,0.234,31.56,13.47,18.235,0.63,0.019,➖,55.56,True,GPU
-34,🌳,Tree-based,[LightGBM (default)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1338.0,+97/-132,0.069,32.09,28.7,12.469,0.29,0.033,✔️,0.0,False,CPU
-35,🌳,Tree-based,[RandomForest (tuned + ensembled)](https://link.springer.com/article/10.1023/A:1010933404324),1314.0,+49/-57,0.002,33.31,31.42,14.156,42.95,0.226,✔️,0.0,False,CPU
-36,🧠🔁,Neural Network,[ModernNCA (default)](https://arxiv.org/abs/2407.03257),1309.0,+88/-83,0.01,33.6,30.32,13.961,8.34,0.25,✔️,0.0,False,GPU
-37,🧠⚡,Foundation Model,[SAP-RPT-OSS (default)](https://arxiv.org/abs/2506.10707),1299.0,+69/-106,0.012,34.12,30.92,15.997,16.41,16.24,➖,0.0,False,GPU
-38,🌳,Tree-based,[RandomForest (tuned)](https://link.springer.com/article/10.1023/A:1010933404324),1276.0,+75/-72,0.005,35.28,31.55,15.136,42.95,0.021,✔️,0.0,False,CPU
-39,🌳,Tree-based,[ExtraTrees (tuned + ensembled)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1275.0,+59/-86,0.0,35.32,32.86,13.465,40.36,0.318,✔️,0.0,False,CPU
-40,🧠⚡,Foundation Model,[TabDPT (default)](https://arxiv.org/abs/2410.18164),1274.0,+171/-188,0.038,35.4,21.37,17.027,47.03,45.876,✔️,0.0,False,GPU
-41,🧠🔁,Neural Network,[FastaiMLP (tuned)](https://arxiv.org/abs/2003.06505),1272.0,+80/-118,0.038,35.48,29.97,15.039,371.59,0.102,✔️,0.0,False,CPU
-42,🧠🔁,Neural Network,[TorchMLP (default)](https://arxiv.org/abs/2003.06505),1221.0,+71/-97,0.0,37.96,36.16,15.181,1.86,0.046,✔️,0.0,False,CPU
-43,🌳,Tree-based,[ExtraTrees (tuned)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1213.0,+66/-70,0.0,38.31,36.48,15.182,40.36,0.028,✔️,0.0,False,CPU
-44,🧠🔁,Neural Network,[FastaiMLP (default)](https://arxiv.org/abs/2003.06505),1199.0,+132/-210,0.044,38.99,33.24,18.054,1.52,0.115,✔️,0.0,False,CPU
-45,📏,Baseline,[Linear (tuned + ensembled)](https://scikit-learn.org/stable/modules/linear_model.html),1155.0,+148/-230,0.008,40.91,36.46,24.041,43.64,0.085,✔️,0.0,False,CPU
-46,📏,Baseline,[KNN (tuned + ensembled)](https://scikit-learn.org/stable/modules/neighbors.html),1134.0,+98/-186,0.01,41.77,32.46,20.737,513.06,78.02,✔️,0.0,False,CPU
-47,📏,Baseline,[Linear (tuned)](https://scikit-learn.org/stable/modules/linear_model.html),1106.0,+163/-220,0.004,42.9,39.28,25.035,43.64,0.022,✔️,0.0,False,CPU
-48,🌳,Tree-based,[RandomForest (default)](https://link.springer.com/article/10.1023/A:1010933404324),1000.0,+86/-199,0.0,46.52,45.72,22.283,0.12,0.014,✔️,0.0,False,CPU
-49,📏,Baseline,[Linear (default)](https://scikit-learn.org/stable/modules/linear_model.html),979.0,+130/-214,0.0,47.15,45.55,26.738,0.22,0.024,✔️,0.0,False,CPU
-50,❓,Other,[xRFM (default)](https://arxiv.org/abs/2508.10053),971.0,+197/-439,0.024,47.37,41.15,28.52,2.62,0.186,✔️,0.0,False,GPU
-51,🌳,Tree-based,[ExtraTrees (default)](https://link.springer.com/article/10.1007/s10994-006-6226-1),912.0,+98/-240,0.0,48.88,48.38,24.149,0.1,0.021,✔️,0.0,False,CPU
-52,🧠⚡,Foundation Model,[TabFlex (default)](https://arxiv.org/abs/2506.05584),912.0,+95/-189,0.0,48.88,48.02,30.36,0.24,0.036,➖,0.0,False,GPU
-53,📏,Baseline,[KNN (tuned)](https://scikit-learn.org/stable/modules/neighbors.html),880.0,+81/-124,0.0,49.62,49.24,27.802,513.06,2.568,✔️,0.0,False,CPU
-54,📏,Baseline,[KNN (default)](https://scikit-learn.org/stable/modules/neighbors.html),506.0,+104/-386,0.0,54.27,54.24,45.598,0.11,0.087,✔️,0.0,False,CPU
diff --git a/data/imputation_yes/splits_all/tasks_binary/datasets_medium/winrate_matrix.png.zip b/data/imputation_yes/splits_all/tasks_binary/datasets_medium/winrate_matrix.png.zip
deleted file mode 100644
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--- a/data/imputation_yes/splits_all/tasks_binary/datasets_medium/winrate_matrix.png.zip
+++ /dev/null
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diff --git a/data/imputation_yes/splits_all/tasks_binary/datasets_small/pareto_front_improvability_vs_time_infer.png.zip b/data/imputation_yes/splits_all/tasks_binary/datasets_small/pareto_front_improvability_vs_time_infer.png.zip
deleted file mode 100644
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diff --git a/data/imputation_yes/splits_all/tasks_binary/datasets_small/tuning-impact-elo.png.zip b/data/imputation_yes/splits_all/tasks_binary/datasets_small/tuning-impact-elo.png.zip
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diff --git a/data/imputation_yes/splits_all/tasks_binary/datasets_small/website_leaderboard.csv b/data/imputation_yes/splits_all/tasks_binary/datasets_small/website_leaderboard.csv
deleted file mode 100644
index 2eb55ff17814c948a636983c7293ac1946ec1ccf..0000000000000000000000000000000000000000
--- a/data/imputation_yes/splits_all/tasks_binary/datasets_small/website_leaderboard.csv
+++ /dev/null
@@ -1,60 +0,0 @@
-#,Type,TypeName,Model,Elo [⬆️],Elo 95% CI,Score [⬆️],Rank [⬇️],Harmonic Rank [⬇️],Improvability (%) [⬇️],Median Train Time (s/1K) [⬇️],Median Predict Time (s/1K) [⬇️],Verified,Imputed (%) [⬇️],Imputed,Hardware
-0,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (default)](https://arxiv.org/abs/2511.08667),1572.0,+94/-51,0.713,10.61,5.61,7.055,5.96,0.554,✔️,0.0,False,GPU
-1,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned + ensembled)](https://arxiv.org/abs/2511.08667),1571.0,+135/-67,0.698,10.63,4.09,5.613,2052.28,8.252,✔️,0.0,False,GPU
-2,📊,Reference Pipeline,"[AutoGluon 1.4 (extreme, 4h)](https://arxiv.org/abs/2003.06505)",1567.0,+103/-72,0.672,10.84,4.35,7.874,593.57,8.084,✔️,0.0,False,GPU
-3,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned)](https://arxiv.org/abs/2511.08667),1544.0,+122/-60,0.656,11.85,4.78,6.918,2052.28,1.266,✔️,0.0,False,GPU
-4,🧠🔁,Neural Network,[Mitra (default) [4.76% IMPUTED]](https://arxiv.org/abs/2510.21204),1478.0,+90/-54,0.56,15.16,6.18,10.552,143.16,3.761,✔️,4.76,True,GPU
-5,🧠🔁,Neural Network,[LimiX (default) [0.53% IMPUTED]](https://arxiv.org/abs/2509.03505),1466.0,+93/-64,0.554,15.86,5.71,10.959,3.78,0.54,➖,0.53,True,GPU
-6,🧠⚡,Foundation Model,[TabPFNv2 (tuned + ensembled) [4.76% IMPUTED]](https://www.nature.com/articles/s41586-024-08328-6),1465.0,+104/-56,0.489,15.93,6.54,10.503,3422.16,45.847,✔️,4.76,True,GPU
-7,🧠⚡,Foundation Model,[TabICL (default) [4.76% IMPUTED]](https://arxiv.org/abs/2502.05564),1449.0,+72/-70,0.47,16.81,6.2,10.06,7.78,1.706,✔️,4.76,True,GPU
-8,🧠🔁,Neural Network,[RealMLP (tuned + ensembled)](https://arxiv.org/abs/2407.04491),1422.0,+68/-46,0.382,18.47,11.52,12.737,2950.72,15.595,✔️,0.0,False,GPU
-9,🧠🔁,Neural Network,[TabM (tuned + ensembled)](https://arxiv.org/abs/2410.24210),1409.0,+73/-56,0.343,19.26,10.27,12.884,2457.54,1.658,✔️,0.0,False,GPU
-10,📊,Reference Pipeline,"[AutoGluon 1.4 (best, 4h)](https://arxiv.org/abs/2003.06505)",1403.0,+80/-70,0.361,19.64,11.2,12.418,1921.63,1.718,✔️,0.0,False,CPU
-11,🧠⚡,Foundation Model,[TabDPT (tuned + ensembled)](https://arxiv.org/abs/2410.18164),1397.0,+79/-72,0.385,20.0,6.75,9.774,5351.68,268.579,✔️,0.0,False,GPU
-12,🧠⚡,Foundation Model,[TabPFNv2 (tuned) [4.76% IMPUTED]](https://www.nature.com/articles/s41586-024-08328-6),1388.0,+124/-63,0.387,20.58,6.77,13.105,3422.16,0.983,✔️,4.76,True,GPU
-13,🧠⚡,Foundation Model,[BetaTabPFN (default)](https://arxiv.org/abs/2502.02527),1381.0,+76/-66,0.383,21.01,9.83,14.674,317.91,1.983,➖,0.0,False,GPU
-14,🧠⚡,Foundation Model,[TabDPT (tuned)](https://arxiv.org/abs/2410.18164),1365.0,+84/-72,0.345,22.05,6.98,10.581,5351.68,37.621,✔️,0.0,False,GPU
-15,🌳,Tree-based,[LightGBM (tuned + ensembled)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1356.0,+46/-38,0.242,22.69,15.15,14.736,512.57,1.18,✔️,0.0,False,CPU
-16,🧠🔁,Neural Network,[TabM (tuned)](https://arxiv.org/abs/2410.24210),1350.0,+73/-54,0.257,23.07,12.77,13.883,2457.54,0.178,✔️,0.0,False,GPU
-17,🧠⚡,Foundation Model,[TabPFNv2 (default) [4.76% IMPUTED]](https://www.nature.com/articles/s41586-024-08328-6),1348.0,+99/-81,0.379,23.21,9.03,15.096,4.05,0.421,✔️,4.76,True,GPU
-18,🌳,Tree-based,[LightGBM (tuned)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1324.0,+38/-35,0.177,24.79,17.48,15.179,512.57,0.243,✔️,0.0,False,CPU
-19,🧠🔁,Neural Network,[RealMLP (tuned)](https://arxiv.org/abs/2407.04491),1322.0,+72/-59,0.209,24.96,13.12,14.615,2950.72,1.225,✔️,0.0,False,GPU
-20,🧠🔁,Neural Network,[ModernNCA (tuned)](https://arxiv.org/abs/2407.03257),1311.0,+79/-64,0.216,25.71,10.95,14.701,4806.04,0.512,✔️,0.0,False,GPU
-21,🌳,Tree-based,[CatBoost (tuned + ensembled)](https://arxiv.org/abs/1706.09516),1303.0,+47/-44,0.157,26.21,18.06,15.791,1096.5,0.584,✔️,0.0,False,CPU
-22,🧠⚡,Foundation Model,[SAP-RPT-OSS (default)](https://arxiv.org/abs/2506.10707),1301.0,+66/-72,0.274,26.36,9.98,16.359,9.05,1.763,➖,0.0,False,GPU
-23,🌳,Tree-based,[CatBoost (default)](https://arxiv.org/abs/1706.09516),1301.0,+60/-45,0.18,26.38,17.16,15.732,4.81,0.08,✔️,0.0,False,CPU
-24,🌳,Tree-based,[CatBoost (tuned)](https://arxiv.org/abs/1706.09516),1298.0,+54/-43,0.167,26.55,18.69,15.8,1096.5,0.074,✔️,0.0,False,CPU
-25,🧠⚡,Foundation Model,[TabDPT (default)](https://arxiv.org/abs/2410.18164),1293.0,+86/-78,0.289,26.93,9.41,13.564,51.83,43.615,✔️,0.0,False,GPU
-26,❓,Other,[xRFM (tuned + ensembled)](https://arxiv.org/abs/2508.10053),1282.0,+47/-66,0.167,27.65,15.74,15.751,711.84,2.983,✔️,0.0,False,GPU
-27,🌳,Tree-based,[XGBoost (tuned + ensembled)](https://arxiv.org/abs/1603.02754),1281.0,+45/-47,0.154,27.73,18.66,16.205,693.49,1.398,✔️,0.0,False,CPU
-28,🧠🔁,Neural Network,[TabM (default)](https://arxiv.org/abs/2410.24210),1272.0,+67/-62,0.203,28.37,15.48,16.65,10.08,0.152,✔️,0.0,False,GPU
-29,🧠🔁,Neural Network,[ModernNCA (tuned + ensembled)](https://arxiv.org/abs/2407.03257),1271.0,+101/-110,0.254,28.42,11.24,15.99,4806.04,8.461,✔️,0.0,False,GPU
-30,🌳,Tree-based,[EBM (tuned + ensembled)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1259.0,+45/-49,0.12,29.27,18.36,16.934,1634.54,0.422,✔️,0.0,False,CPU
-31,🌳,Tree-based,[XGBoost (tuned)](https://arxiv.org/abs/1603.02754),1258.0,+42/-37,0.098,29.31,18.89,16.567,693.49,0.194,✔️,0.0,False,CPU
-32,🧠🔁,Neural Network,[ModernNCA (default)](https://arxiv.org/abs/2407.03257),1258.0,+60/-66,0.162,29.33,14.25,17.26,14.37,0.334,✔️,0.0,False,GPU
-33,❓,Other,[xRFM (tuned)](https://arxiv.org/abs/2508.10053),1257.0,+49/-61,0.126,29.39,15.57,16.701,711.84,0.162,✔️,0.0,False,GPU
-34,🧠🔁,Neural Network,[TorchMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1251.0,+77/-56,0.135,29.83,20.45,15.873,2665.36,2.619,✔️,0.0,False,CPU
-35,🌳,Tree-based,[EBM (tuned)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1238.0,+46/-46,0.092,30.72,17.53,17.466,1634.54,0.054,✔️,0.0,False,CPU
-36,🧠🔁,Neural Network,[FastaiMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1217.0,+60/-78,0.136,32.17,17.91,17.772,644.55,5.974,✔️,0.0,False,CPU
-37,🌳,Tree-based,[EBM (default)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1217.0,+46/-54,0.102,32.2,17.83,18.185,7.32,0.054,✔️,0.0,False,CPU
-38,🧠🔁,Neural Network,[RealMLP (default)](https://arxiv.org/abs/2407.04491),1213.0,+53/-53,0.084,32.45,19.29,17.009,10.89,2.249,✔️,0.0,False,GPU
-39,🧠🔁,Neural Network,[TorchMLP (tuned)](https://arxiv.org/abs/2003.06505),1177.0,+68/-47,0.061,34.88,22.5,17.978,2665.36,0.143,✔️,0.0,False,CPU
-40,🧠🔁,Neural Network,[FastaiMLP (tuned)](https://arxiv.org/abs/2003.06505),1169.0,+60/-84,0.056,35.41,20.63,19.128,644.55,0.398,✔️,0.0,False,CPU
-41,🌳,Tree-based,[ExtraTrees (tuned + ensembled)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1162.0,+64/-79,0.062,35.87,23.66,20.483,203.15,0.968,✔️,0.0,False,CPU
-42,🌳,Tree-based,[XGBoost (default)](https://arxiv.org/abs/1603.02754),1157.0,+57/-57,0.033,36.18,27.93,19.258,1.94,0.121,✔️,0.0,False,CPU
-43,🌳,Tree-based,[LightGBM (default)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1127.0,+39/-54,0.018,38.14,32.03,19.682,2.44,0.121,✔️,0.0,False,CPU
-44,🌳,Tree-based,[ExtraTrees (tuned)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1127.0,+61/-76,0.036,38.15,25.84,21.396,203.15,0.091,✔️,0.0,False,CPU
-45,🌳,Tree-based,[RandomForest (tuned + ensembled)](https://link.springer.com/article/10.1023/A:1010933404324),1105.0,+57/-91,0.041,39.5,24.36,22.107,484.22,1.025,✔️,0.0,False,CPU
-46,🧠⚡,Foundation Model,[TabFlex (default)](https://arxiv.org/abs/2506.05584),1072.0,+107/-128,0.11,41.53,22.55,23.987,1.3,0.15,➖,0.0,False,GPU
-47,🌳,Tree-based,[RandomForest (tuned)](https://link.springer.com/article/10.1023/A:1010933404324),1070.0,+51/-89,0.008,41.65,27.18,22.728,484.22,0.086,✔️,0.0,False,CPU
-48,🧠🔁,Neural Network,[TorchMLP (default)](https://arxiv.org/abs/2003.06505),1051.0,+63/-83,0.019,42.7,30.36,22.686,9.39,0.13,✔️,0.0,False,CPU
-49,📏,Baseline,[Linear (tuned + ensembled)](https://scikit-learn.org/stable/modules/linear_model.html),1019.0,+92/-136,0.067,44.46,27.1,28.465,278.97,0.873,✔️,0.0,False,CPU
-50,🧠🔁,Neural Network,[FastaiMLP (default)](https://arxiv.org/abs/2003.06505),1011.0,+74/-90,0.0,44.91,26.47,23.434,2.97,0.388,✔️,0.0,False,CPU
-51,🌳,Tree-based,[RandomForest (default)](https://link.springer.com/article/10.1023/A:1010933404324),1000.0,+56/-113,0.008,45.45,37.33,25.641,0.42,0.041,✔️,0.0,False,CPU
-52,📏,Baseline,[Linear (tuned)](https://scikit-learn.org/stable/modules/linear_model.html),997.0,+93/-135,0.046,45.62,28.96,29.029,278.97,0.103,✔️,0.0,False,CPU
-53,📏,Baseline,[KNN (tuned + ensembled)](https://scikit-learn.org/stable/modules/neighbors.html),989.0,+78/-116,0.019,45.99,31.67,26.187,90.71,1.623,✔️,0.0,False,CPU
-54,❓,Other,[xRFM (default)](https://arxiv.org/abs/2508.10053),984.0,+80/-115,0.008,46.25,37.3,26.235,3.71,0.919,✔️,0.0,False,GPU
-55,🌳,Tree-based,[ExtraTrees (default)](https://link.springer.com/article/10.1007/s10994-006-6226-1),962.0,+83/-132,0.012,47.26,39.31,26.939,0.33,0.043,✔️,0.0,False,CPU
-56,📏,Baseline,[Linear (default)](https://scikit-learn.org/stable/modules/linear_model.html),951.0,+88/-163,0.028,47.79,31.16,31.06,1.48,0.139,✔️,0.0,False,CPU
-57,📏,Baseline,[KNN (tuned)](https://scikit-learn.org/stable/modules/neighbors.html),922.0,+84/-144,0.001,49.02,31.76,30.44,90.71,0.125,✔️,0.0,False,CPU
-58,📏,Baseline,[KNN (default)](https://scikit-learn.org/stable/modules/neighbors.html),616.0,+112/-175,0.0,56.86,50.83,43.481,0.22,0.02,✔️,0.0,False,CPU
diff --git a/data/imputation_yes/splits_all/tasks_binary/datasets_small/winrate_matrix.png.zip b/data/imputation_yes/splits_all/tasks_binary/datasets_small/winrate_matrix.png.zip
deleted file mode 100644
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+++ /dev/null
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diff --git a/data/imputation_yes/splits_all/tasks_binary/datasets_tabpfn/pareto_front_improvability_vs_time_infer.png.zip b/data/imputation_yes/splits_all/tasks_binary/datasets_tabpfn/pareto_front_improvability_vs_time_infer.png.zip
deleted file mode 100644
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diff --git a/data/imputation_yes/splits_all/tasks_binary/datasets_tabpfn/website_leaderboard.csv b/data/imputation_yes/splits_all/tasks_binary/datasets_tabpfn/website_leaderboard.csv
deleted file mode 100644
index 44a8f600299a84276935de595a073267406f6fbb..0000000000000000000000000000000000000000
--- a/data/imputation_yes/splits_all/tasks_binary/datasets_tabpfn/website_leaderboard.csv
+++ /dev/null
@@ -1,60 +0,0 @@
-#,Type,TypeName,Model,Elo [⬆️],Elo 95% CI,Score [⬆️],Rank [⬇️],Harmonic Rank [⬇️],Improvability (%) [⬇️],Median Train Time (s/1K) [⬇️],Median Predict Time (s/1K) [⬇️],Verified,Imputed (%) [⬇️],Imputed,Hardware
-0,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (default)](https://arxiv.org/abs/2511.08667),1599.0,+90/-55,0.723,10.53,5.5,7.231,5.52,0.529,✔️,0.0,False,GPU
-1,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned + ensembled)](https://arxiv.org/abs/2511.08667),1587.0,+114/-70,0.683,11.08,4.49,5.873,2046.25,8.114,✔️,0.0,False,GPU
-2,📊,Reference Pipeline,"[AutoGluon 1.4 (extreme, 4h)](https://arxiv.org/abs/2003.06505)",1583.0,+88/-56,0.658,11.25,4.69,8.229,592.15,8.082,✔️,0.0,False,GPU
-3,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned)](https://arxiv.org/abs/2511.08667),1567.0,+106/-65,0.656,11.95,4.83,7.134,2046.25,1.254,✔️,0.0,False,GPU
-4,🧠🔁,Neural Network,[Mitra (default)](https://arxiv.org/abs/2510.21204),1509.0,+91/-59,0.583,14.91,5.98,10.778,144.27,3.772,✔️,0.0,False,GPU
-5,🧠⚡,Foundation Model,[TabPFNv2 (tuned + ensembled)](https://www.nature.com/articles/s41586-024-08328-6),1495.0,+80/-55,0.508,15.65,6.32,10.726,3445.6,51.274,✔️,0.0,False,GPU
-6,🧠🔁,Neural Network,[LimiX (default)](https://arxiv.org/abs/2509.03505),1486.0,+98/-78,0.555,16.17,5.79,11.342,3.76,0.527,➖,0.0,False,GPU
-7,🧠⚡,Foundation Model,[TabICL (default)](https://arxiv.org/abs/2502.05564),1478.0,+80/-66,0.489,16.63,6.0,10.261,8.06,1.714,✔️,0.0,False,GPU
-8,🧠🔁,Neural Network,[RealMLP (tuned + ensembled)](https://arxiv.org/abs/2407.04491),1441.0,+65/-51,0.377,18.88,11.78,13.189,2879.46,14.626,✔️,0.0,False,GPU
-9,🧠🔁,Neural Network,[TabM (tuned + ensembled)](https://arxiv.org/abs/2410.24210),1436.0,+74/-57,0.355,19.16,10.11,13.231,2379.18,1.595,✔️,0.0,False,GPU
-10,🧠⚡,Foundation Model,[BetaTabPFN (default)](https://arxiv.org/abs/2502.02527),1429.0,+70/-59,0.403,19.6,9.45,14.468,316.0,1.931,➖,0.0,False,GPU
-11,🧠⚡,Foundation Model,[TabDPT (tuned + ensembled)](https://arxiv.org/abs/2410.18164),1418.0,+85/-67,0.384,20.3,6.67,10.056,5319.2,249.314,✔️,0.0,False,GPU
-12,📊,Reference Pipeline,"[AutoGluon 1.4 (best, 4h)](https://arxiv.org/abs/2003.06505)",1417.0,+77/-58,0.341,20.36,12.1,12.945,1828.68,1.648,✔️,0.0,False,CPU
-13,🧠⚡,Foundation Model,[TabPFNv2 (tuned)](https://www.nature.com/articles/s41586-024-08328-6),1414.0,+107/-75,0.401,20.53,6.55,13.459,3445.6,0.995,✔️,0.0,False,GPU
-14,🧠⚡,Foundation Model,[TabDPT (tuned)](https://arxiv.org/abs/2410.18164),1398.0,+105/-70,0.362,21.58,6.73,10.683,5319.2,29.488,✔️,0.0,False,GPU
-15,🧠🔁,Neural Network,[TabM (tuned)](https://arxiv.org/abs/2410.24210),1379.0,+86/-58,0.269,22.84,12.52,14.209,2379.18,0.176,✔️,0.0,False,GPU
-16,🌳,Tree-based,[LightGBM (tuned + ensembled)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1374.0,+44/-43,0.233,23.14,15.56,15.267,449.53,1.149,✔️,0.0,False,CPU
-17,🧠⚡,Foundation Model,[TabPFNv2 (default)](https://www.nature.com/articles/s41586-024-08328-6),1371.0,+97/-83,0.393,23.35,8.81,15.549,3.73,0.488,✔️,0.0,False,GPU
-18,🧠🔁,Neural Network,[RealMLP (tuned)](https://arxiv.org/abs/2407.04491),1351.0,+65/-52,0.22,24.7,12.84,14.939,2879.46,0.944,✔️,0.0,False,GPU
-19,🧠🔁,Neural Network,[ModernNCA (tuned)](https://arxiv.org/abs/2407.03257),1346.0,+63/-58,0.227,25.06,10.58,14.868,4575.49,0.51,✔️,0.0,False,GPU
-20,🌳,Tree-based,[LightGBM (tuned)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1345.0,+38/-37,0.172,25.11,17.55,15.693,449.53,0.215,✔️,0.0,False,CPU
-21,🌳,Tree-based,[CatBoost (default)](https://arxiv.org/abs/1706.09516),1326.0,+61/-49,0.187,26.43,16.97,16.201,4.7,0.08,✔️,0.0,False,CPU
-22,🧠⚡,Foundation Model,[TabDPT (default)](https://arxiv.org/abs/2410.18164),1325.0,+106/-80,0.304,26.47,9.08,13.696,51.44,43.709,✔️,0.0,False,GPU
-23,🧠⚡,Foundation Model,[SAP-RPT-OSS (default)](https://arxiv.org/abs/2506.10707),1323.0,+83/-71,0.282,26.63,10.3,16.884,8.81,1.55,➖,0.0,False,GPU
-24,🌳,Tree-based,[CatBoost (tuned + ensembled)](https://arxiv.org/abs/1706.09516),1322.0,+56/-53,0.151,26.66,18.33,16.332,1081.93,0.556,✔️,0.0,False,CPU
-25,🌳,Tree-based,[CatBoost (tuned)](https://arxiv.org/abs/1706.09516),1316.0,+55/-43,0.16,27.12,19.39,16.356,1081.93,0.074,✔️,0.0,False,CPU
-26,🧠🔁,Neural Network,[TabM (default)](https://arxiv.org/abs/2410.24210),1307.0,+67/-67,0.213,27.72,15.01,16.834,9.81,0.146,✔️,0.0,False,GPU
-27,❓,Other,[xRFM (tuned + ensembled)](https://arxiv.org/abs/2508.10053),1301.0,+53/-58,0.161,28.16,16.07,16.289,592.34,2.767,✔️,0.0,False,GPU
-28,🌳,Tree-based,[XGBoost (tuned + ensembled)](https://arxiv.org/abs/1603.02754),1297.0,+51/-52,0.139,28.42,19.99,16.823,645.57,1.032,✔️,0.0,False,CPU
-29,🧠🔁,Neural Network,[ModernNCA (default)](https://arxiv.org/abs/2407.03257),1294.0,+66/-71,0.17,28.61,13.79,17.396,14.36,0.311,✔️,0.0,False,GPU
-30,🌳,Tree-based,[EBM (tuned + ensembled)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1291.0,+49/-50,0.126,28.86,17.91,17.251,1618.46,0.415,✔️,0.0,False,CPU
-31,🧠🔁,Neural Network,[ModernNCA (tuned + ensembled)](https://arxiv.org/abs/2407.03257),1290.0,+95/-103,0.256,28.89,11.23,16.525,4575.49,8.396,✔️,0.0,False,GPU
-32,🧠🔁,Neural Network,[TorchMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1285.0,+69/-59,0.142,29.28,19.96,16.034,2576.18,2.415,✔️,0.0,False,CPU
-33,❓,Other,[xRFM (tuned)](https://arxiv.org/abs/2508.10053),1278.0,+55/-57,0.128,29.72,15.38,17.23,592.34,0.146,✔️,0.0,False,GPU
-34,🌳,Tree-based,[XGBoost (tuned)](https://arxiv.org/abs/1603.02754),1273.0,+40/-43,0.083,30.07,19.91,17.181,645.57,0.172,✔️,0.0,False,CPU
-35,🌳,Tree-based,[EBM (tuned)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1270.0,+51/-55,0.097,30.3,17.07,17.754,1618.46,0.054,✔️,0.0,False,CPU
-36,🌳,Tree-based,[EBM (default)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1253.0,+54/-58,0.107,31.5,17.3,18.291,6.86,0.052,✔️,0.0,False,CPU
-37,🧠🔁,Neural Network,[FastaiMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1251.0,+67/-78,0.143,31.58,17.4,17.932,618.9,5.468,✔️,0.0,False,CPU
-38,🧠🔁,Neural Network,[RealMLP (default)](https://arxiv.org/abs/2407.04491),1248.0,+55/-56,0.088,31.83,18.75,17.14,10.47,1.987,✔️,0.0,False,GPU
-39,🧠🔁,Neural Network,[TorchMLP (tuned)](https://arxiv.org/abs/2003.06505),1212.0,+63/-51,0.064,34.26,21.93,18.039,2576.18,0.136,✔️,0.0,False,CPU
-40,🧠🔁,Neural Network,[FastaiMLP (tuned)](https://arxiv.org/abs/2003.06505),1204.0,+67/-73,0.058,34.79,20.06,19.257,618.9,0.352,✔️,0.0,False,CPU
-41,🌳,Tree-based,[ExtraTrees (tuned + ensembled)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1182.0,+84/-72,0.065,36.24,23.51,21.134,199.83,0.865,✔️,0.0,False,CPU
-42,🌳,Tree-based,[XGBoost (default)](https://arxiv.org/abs/1603.02754),1172.0,+64/-62,0.028,36.89,29.5,19.93,1.77,0.119,✔️,0.0,False,CPU
-43,🌳,Tree-based,[ExtraTrees (tuned)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1150.0,+78/-74,0.038,38.3,25.55,21.978,199.83,0.086,✔️,0.0,False,CPU
-44,🌳,Tree-based,[LightGBM (default)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1144.0,+40/-44,0.019,38.69,32.62,20.337,2.2,0.12,✔️,0.0,False,CPU
-45,🧠⚡,Foundation Model,[TabFlex (default)](https://arxiv.org/abs/2506.05584),1109.0,+94/-132,0.115,40.84,21.9,23.577,1.24,0.143,➖,0.0,False,GPU
-46,🌳,Tree-based,[RandomForest (tuned + ensembled)](https://link.springer.com/article/10.1023/A:1010933404324),1108.0,+65/-83,0.021,40.89,26.68,23.012,440.56,0.933,✔️,0.0,False,CPU
-47,🧠🔁,Neural Network,[TorchMLP (default)](https://arxiv.org/abs/2003.06505),1085.0,+76/-74,0.02,42.24,29.74,22.701,8.39,0.127,✔️,0.0,False,CPU
-48,🌳,Tree-based,[RandomForest (tuned)](https://link.springer.com/article/10.1023/A:1010933404324),1078.0,+52/-80,0.004,42.65,27.65,23.562,440.56,0.085,✔️,0.0,False,CPU
-49,📏,Baseline,[Linear (tuned + ensembled)](https://scikit-learn.org/stable/modules/linear_model.html),1056.0,+97/-122,0.071,43.86,26.41,28.155,273.27,0.715,✔️,0.0,False,CPU
-50,🧠🔁,Neural Network,[FastaiMLP (default)](https://arxiv.org/abs/2003.06505),1043.0,+79/-88,0.0,44.57,25.84,23.586,2.84,0.381,✔️,0.0,False,CPU
-51,📏,Baseline,[Linear (tuned)](https://scikit-learn.org/stable/modules/linear_model.html),1034.0,+95/-124,0.048,45.02,28.26,28.625,273.27,0.098,✔️,0.0,False,CPU
-52,📏,Baseline,[KNN (tuned + ensembled)](https://scikit-learn.org/stable/modules/neighbors.html),1020.0,+84/-108,0.02,45.71,31.07,26.372,89.68,1.55,✔️,0.0,False,CPU
-53,❓,Other,[xRFM (default)](https://arxiv.org/abs/2508.10053),1002.0,+98/-114,0.008,46.63,37.26,26.979,2.96,0.796,✔️,0.0,False,GPU
-54,🌳,Tree-based,[RandomForest (default)](https://link.springer.com/article/10.1023/A:1010933404324),1000.0,+63/-102,0.004,46.71,39.28,26.621,0.42,0.04,✔️,0.0,False,CPU
-55,📏,Baseline,[Linear (default)](https://scikit-learn.org/stable/modules/linear_model.html),989.0,+101/-141,0.03,47.23,30.44,30.443,1.44,0.138,✔️,0.0,False,CPU
-56,🌳,Tree-based,[ExtraTrees (default)](https://link.springer.com/article/10.1007/s10994-006-6226-1),977.0,+92/-114,0.012,47.78,39.45,27.771,0.31,0.042,✔️,0.0,False,CPU
-57,📏,Baseline,[KNN (tuned)](https://scikit-learn.org/stable/modules/neighbors.html),954.0,+87/-138,0.001,48.79,31.12,30.638,89.68,0.12,✔️,0.0,False,CPU
-58,📏,Baseline,[KNN (default)](https://scikit-learn.org/stable/modules/neighbors.html),640.0,+129/-216,0.0,56.88,50.58,43.946,0.21,0.019,✔️,0.0,False,CPU
diff --git a/data/imputation_yes/splits_all/tasks_binary/datasets_tabpfn/winrate_matrix.png.zip b/data/imputation_yes/splits_all/tasks_binary/datasets_tabpfn/winrate_matrix.png.zip
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-#,Type,TypeName,Model,Elo [⬆️],Elo 95% CI,Score [⬆️],Rank [⬇️],Harmonic Rank [⬇️],Improvability (%) [⬇️],Median Train Time (s/1K) [⬇️],Median Predict Time (s/1K) [⬇️],Verified,Imputed (%) [⬇️],Imputed,Hardware
-0,📊,Reference Pipeline,"[AutoGluon 1.4 (extreme, 4h)](https://arxiv.org/abs/2003.06505)",1636.0,+70/-56,0.762,8.74,3.72,7.026,545.23,6.469,✔️,0.0,False,GPU
-1,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned + ensembled)](https://arxiv.org/abs/2511.08667),1576.0,+81/-71,0.679,11.18,3.79,6.561,2046.25,8.976,✔️,0.0,False,GPU
-2,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned)](https://arxiv.org/abs/2511.08667),1549.0,+72/-63,0.641,12.42,4.78,7.607,2046.25,1.329,✔️,0.0,False,GPU
-3,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (default)](https://arxiv.org/abs/2511.08667),1534.0,+65/-62,0.638,13.13,6.02,8.056,5.76,0.794,✔️,0.0,False,GPU
-4,📊,Reference Pipeline,"[AutoGluon 1.4 (best, 4h)](https://arxiv.org/abs/2003.06505)",1482.0,+65/-53,0.494,15.95,5.88,10.605,1684.49,1.97,✔️,0.0,False,CPU
-5,🧠🔁,Neural Network,[RealMLP (tuned + ensembled)](https://arxiv.org/abs/2407.04491),1471.0,+56/-45,0.456,16.62,9.75,11.265,2879.46,12.49,✔️,0.0,False,GPU
-6,🧠🔁,Neural Network,[TabM (tuned + ensembled)](https://arxiv.org/abs/2410.24210),1443.0,+59/-42,0.401,18.27,8.77,12.523,2466.21,1.502,✔️,0.0,False,GPU
-7,🧠⚡,Foundation Model,[TabICL (default) [5.26% IMPUTED]](https://arxiv.org/abs/2502.05564),1415.0,+63/-60,0.422,20.05,7.51,12.546,8.68,1.743,✔️,5.26,True,GPU
-8,🌳,Tree-based,[LightGBM (tuned + ensembled)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1414.0,+46/-33,0.334,20.11,12.76,13.589,382.05,1.488,✔️,0.0,False,CPU
-9,🧠🔁,Neural Network,[LimiX (default) [16.08% IMPUTED]](https://arxiv.org/abs/2509.03505),1414.0,+71/-70,0.461,20.14,6.79,13.139,3.45,0.504,➖,16.08,True,GPU
-10,🧠⚡,Foundation Model,[TabDPT (tuned + ensembled)](https://arxiv.org/abs/2410.18164),1403.0,+75/-50,0.386,20.84,7.37,11.579,4940.61,307.751,✔️,0.0,False,GPU
-11,🧠🔁,Neural Network,[TabM (tuned)](https://arxiv.org/abs/2410.24210),1392.0,+56/-53,0.328,21.55,10.1,13.41,2466.21,0.176,✔️,0.0,False,GPU
-12,🌳,Tree-based,[CatBoost (tuned + ensembled)](https://arxiv.org/abs/1706.09516),1392.0,+54/-41,0.308,21.57,12.09,13.162,1372.94,0.556,✔️,0.0,False,CPU
-13,🧠🔁,Neural Network,[RealMLP (tuned)](https://arxiv.org/abs/2407.04491),1392.0,+49/-42,0.306,21.58,11.33,12.894,2879.46,0.598,✔️,0.0,False,GPU
-14,🌳,Tree-based,[CatBoost (tuned)](https://arxiv.org/abs/1706.09516),1383.0,+54/-44,0.303,22.13,11.19,13.366,1372.94,0.074,✔️,0.0,False,CPU
-15,🌳,Tree-based,[LightGBM (tuned)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1373.0,+44/-31,0.247,22.81,15.59,14.313,382.05,0.254,✔️,0.0,False,CPU
-16,🌳,Tree-based,[XGBoost (tuned + ensembled)](https://arxiv.org/abs/1603.02754),1364.0,+48/-43,0.271,23.44,13.48,14.452,685.87,1.455,✔️,0.0,False,CPU
-17,🌳,Tree-based,[CatBoost (default)](https://arxiv.org/abs/1706.09516),1361.0,+47/-44,0.289,23.63,12.06,13.917,5.72,0.076,✔️,0.0,False,CPU
-18,🧠⚡,Foundation Model,[BetaTabPFN (default)](https://arxiv.org/abs/2502.02527),1355.0,+51/-48,0.31,24.04,12.74,15.759,282.72,1.886,➖,0.0,False,GPU
-19,🧠⚡,Foundation Model,[TabPFNv2 (tuned + ensembled) [31.58% IMPUTED]](https://www.nature.com/articles/s41586-024-08328-6),1355.0,+79/-74,0.393,24.07,8.05,14.795,3008.22,20.849,✔️,31.58,True,GPU
-20,🧠🔁,Neural Network,[Mitra (default) [31.58% IMPUTED]](https://arxiv.org/abs/2510.21204),1353.0,+78/-79,0.406,24.18,8.57,15.178,121.91,2.776,✔️,31.58,True,GPU
-21,🧠🔁,Neural Network,[ModernNCA (tuned + ensembled)](https://arxiv.org/abs/2407.03257),1352.0,+81/-75,0.32,24.21,10.51,14.001,4879.89,8.744,✔️,0.0,False,GPU
-22,🧠🔁,Neural Network,[ModernNCA (tuned)](https://arxiv.org/abs/2407.03257),1350.0,+56/-38,0.228,24.35,11.78,14.032,4879.89,0.525,✔️,0.0,False,GPU
-23,🧠⚡,Foundation Model,[TabDPT (tuned)](https://arxiv.org/abs/2410.18164),1343.0,+62/-52,0.285,24.85,8.93,13.274,4940.61,41.606,✔️,0.0,False,GPU
-24,🌳,Tree-based,[XGBoost (tuned)](https://arxiv.org/abs/1603.02754),1340.0,+46/-38,0.214,25.06,16.49,14.835,685.87,0.205,✔️,0.0,False,CPU
-25,❓,Other,[xRFM (tuned + ensembled)](https://arxiv.org/abs/2508.10053),1318.0,+43/-44,0.195,26.59,15.93,15.499,934.1,3.063,✔️,0.0,False,GPU
-26,🧠⚡,Foundation Model,[TabPFNv2 (tuned) [31.58% IMPUTED]](https://www.nature.com/articles/s41586-024-08328-6),1303.0,+72/-77,0.301,27.6,9.0,16.643,3008.22,0.514,✔️,31.58,True,GPU
-27,🌳,Tree-based,[EBM (tuned + ensembled)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1300.0,+42/-36,0.16,27.85,18.41,16.484,2686.11,0.47,✔️,0.0,False,CPU
-28,🧠🔁,Neural Network,[TorchMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1298.0,+45/-42,0.165,27.99,19.06,15.343,2389.22,2.158,✔️,0.0,False,CPU
-29,🧠🔁,Neural Network,[TabM (default)](https://arxiv.org/abs/2410.24210),1298.0,+50/-50,0.228,27.99,15.76,16.156,10.21,0.138,✔️,0.0,False,GPU
-30,🧠⚡,Foundation Model,[SAP-RPT-OSS (default)](https://arxiv.org/abs/2506.10707),1292.0,+54/-65,0.238,28.41,10.21,16.572,13.7,2.033,➖,0.0,False,GPU
-31,🧠⚡,Foundation Model,[TabPFNv2 (default) [31.58% IMPUTED]](https://www.nature.com/articles/s41586-024-08328-6),1280.0,+72/-71,0.282,29.24,12.11,17.509,3.37,0.315,✔️,31.58,True,GPU
-32,❓,Other,[xRFM (tuned)](https://arxiv.org/abs/2508.10053),1278.0,+53/-54,0.145,29.39,16.97,16.99,934.1,0.169,✔️,0.0,False,GPU
-33,🌳,Tree-based,[EBM (tuned)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1266.0,+44/-36,0.111,30.24,19.51,17.209,2686.11,0.054,✔️,0.0,False,CPU
-34,🧠⚡,Foundation Model,[TabDPT (default)](https://arxiv.org/abs/2410.18164),1264.0,+63/-60,0.223,30.37,10.86,16.525,49.21,43.824,✔️,0.0,False,GPU
-35,🧠🔁,Neural Network,[FastaiMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1252.0,+61/-56,0.153,31.16,17.57,17.69,618.9,4.766,✔️,0.0,False,CPU
-36,🧠🔁,Neural Network,[ModernNCA (default)](https://arxiv.org/abs/2407.03257),1242.0,+41/-43,0.104,31.85,18.68,18.26,14.78,0.346,✔️,0.0,False,GPU
-37,🌳,Tree-based,[EBM (default)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1239.0,+44/-43,0.109,32.06,20.62,18.424,6.86,0.057,✔️,0.0,False,CPU
-38,🧠🔁,Neural Network,[RealMLP (default)](https://arxiv.org/abs/2407.04491),1229.0,+41/-37,0.075,32.77,22.66,17.528,10.47,1.707,✔️,0.0,False,GPU
-39,🌳,Tree-based,[XGBoost (default)](https://arxiv.org/abs/1603.02754),1222.0,+49/-53,0.091,33.27,23.5,17.624,1.77,0.117,✔️,0.0,False,CPU
-40,🧠🔁,Neural Network,[TorchMLP (tuned)](https://arxiv.org/abs/2003.06505),1216.0,+49/-41,0.081,33.61,23.04,17.548,2389.22,0.152,✔️,0.0,False,CPU
-41,🌳,Tree-based,[ExtraTrees (tuned + ensembled)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1206.0,+50/-46,0.085,34.33,22.09,19.197,189.76,0.743,✔️,0.0,False,CPU
-42,🧠🔁,Neural Network,[FastaiMLP (tuned)](https://arxiv.org/abs/2003.06505),1186.0,+52/-57,0.062,35.62,22.02,19.522,618.9,0.298,✔️,0.0,False,CPU
-43,🌳,Tree-based,[RandomForest (tuned + ensembled)](https://link.springer.com/article/10.1023/A:1010933404324),1183.0,+58/-57,0.084,35.86,20.95,20.121,323.74,0.743,✔️,0.0,False,CPU
-44,🌳,Tree-based,[LightGBM (default)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1179.0,+46/-39,0.063,36.12,30.01,18.664,1.79,0.12,✔️,0.0,False,CPU
-45,🌳,Tree-based,[ExtraTrees (tuned)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1165.0,+54/-50,0.061,36.99,22.85,20.41,189.76,0.079,✔️,0.0,False,CPU
-46,🌳,Tree-based,[RandomForest (tuned)](https://link.springer.com/article/10.1023/A:1010933404324),1146.0,+66/-56,0.055,38.23,20.97,20.987,323.74,0.076,✔️,0.0,False,CPU
-47,🧠🔁,Neural Network,[TorchMLP (default)](https://arxiv.org/abs/2003.06505),1083.0,+45/-55,0.011,42.01,32.62,22.258,6.83,0.147,✔️,0.0,False,CPU
-48,🧠🔁,Neural Network,[FastaiMLP (default)](https://arxiv.org/abs/2003.06505),1037.0,+66/-68,0.012,44.54,30.82,24.567,2.91,0.368,✔️,0.0,False,CPU
-49,📏,Baseline,[Linear (tuned + ensembled)](https://scikit-learn.org/stable/modules/linear_model.html),1036.0,+83/-83,0.042,44.57,31.85,29.935,252.58,0.528,✔️,0.0,False,CPU
-50,📏,Baseline,[KNN (tuned + ensembled)](https://scikit-learn.org/stable/modules/neighbors.html),1023.0,+66/-95,0.024,45.25,30.02,27.724,139.84,3.615,✔️,0.0,False,CPU
-51,🧠⚡,Foundation Model,[TabFlex (default)](https://arxiv.org/abs/2506.05584),1010.0,+86/-92,0.061,45.88,29.96,28.847,1.11,0.189,➖,0.0,False,GPU
-52,📏,Baseline,[Linear (tuned)](https://scikit-learn.org/stable/modules/linear_model.html),1007.0,+77/-86,0.028,46.02,33.89,30.671,252.58,0.089,✔️,0.0,False,CPU
-53,🌳,Tree-based,[RandomForest (default)](https://link.springer.com/article/10.1023/A:1010933404324),1000.0,+56/-58,0.005,46.37,40.54,27.013,0.38,0.037,✔️,0.0,False,CPU
-54,❓,Other,[xRFM (default)](https://arxiv.org/abs/2508.10053),998.0,+74/-86,0.02,46.48,38.51,27.556,3.61,0.939,✔️,0.0,False,GPU
-55,🌳,Tree-based,[ExtraTrees (default)](https://link.springer.com/article/10.1007/s10994-006-6226-1),939.0,+68/-72,0.006,49.02,43.33,29.233,0.25,0.041,✔️,0.0,False,CPU
-56,📏,Baseline,[Linear (default)](https://scikit-learn.org/stable/modules/linear_model.html),928.0,+83/-113,0.016,49.47,37.49,33.477,1.29,0.131,✔️,0.0,False,CPU
-57,📏,Baseline,[KNN (tuned)](https://scikit-learn.org/stable/modules/neighbors.html),904.0,+82/-104,0.01,50.36,36.62,33.902,139.84,0.193,✔️,0.0,False,CPU
-58,📏,Baseline,[KNN (default)](https://scikit-learn.org/stable/modules/neighbors.html),555.0,+112/-115,0.0,57.59,53.99,49.706,0.18,0.029,✔️,0.0,False,CPU
diff --git a/data/imputation_yes/splits_all/tasks_classification/datasets_all/winrate_matrix.png.zip b/data/imputation_yes/splits_all/tasks_classification/datasets_all/winrate_matrix.png.zip
deleted file mode 100644
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-#,Type,TypeName,Model,Elo [⬆️],Elo 95% CI,Score [⬆️],Rank [⬇️],Harmonic Rank [⬇️],Improvability (%) [⬇️],Median Train Time (s/1K) [⬇️],Median Predict Time (s/1K) [⬇️],Verified,Imputed (%) [⬇️],Imputed,Hardware
-0,📊,Reference Pipeline,"[AutoGluon 1.4 (extreme, 4h)](https://arxiv.org/abs/2003.06505)",1920.0,+148/-61,0.907,4.83,2.46,2.185,275.97,2.818,✔️,0.0,False,GPU
-1,📊,Reference Pipeline,"[AutoGluon 1.4 (best, 4h)](https://arxiv.org/abs/2003.06505)",1860.0,+178/-76,0.86,6.17,2.65,2.418,314.17,2.249,✔️,0.0,False,CPU
-2,🌳,Tree-based,[CatBoost (tuned + ensembled)](https://arxiv.org/abs/1706.09516),1698.0,+136/-72,0.621,11.39,6.22,5.413,697.8,0.199,✔️,0.0,False,CPU
-3,🌳,Tree-based,[CatBoost (tuned)](https://arxiv.org/abs/1706.09516),1696.0,+143/-70,0.627,11.47,5.19,5.658,697.8,0.023,✔️,0.0,False,CPU
-4,🌳,Tree-based,[CatBoost (default)](https://arxiv.org/abs/1706.09516),1668.0,+130/-66,0.613,12.65,5.98,5.6,2.44,0.027,✔️,0.0,False,CPU
-5,🌳,Tree-based,[XGBoost (tuned + ensembled)](https://arxiv.org/abs/1603.02754),1665.0,+127/-92,0.544,12.77,7.4,7.881,207.65,0.398,✔️,0.0,False,CPU
-6,🌳,Tree-based,[LightGBM (tuned + ensembled)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1661.0,+144/-72,0.533,12.92,8.42,8.139,93.21,0.758,✔️,0.0,False,CPU
-7,🧠🔁,Neural Network,[RealMLP (tuned + ensembled)](https://arxiv.org/abs/2407.04491),1641.0,+122/-91,0.519,13.83,8.73,7.26,1624.54,1.763,✔️,0.0,False,GPU
-8,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned + ensembled)](https://arxiv.org/abs/2511.08667),1638.0,+216/-124,0.542,13.97,3.83,7.552,783.29,13.79,✔️,0.0,False,GPU
-9,🧠🔁,Neural Network,[ModernNCA (tuned + ensembled)](https://arxiv.org/abs/2407.03257),1617.0,+145/-129,0.533,14.91,7.6,7.563,2338.19,14.248,✔️,0.0,False,GPU
-10,🧠🔁,Neural Network,[TabM (tuned + ensembled)](https://arxiv.org/abs/2410.24210),1596.0,+184/-118,0.463,15.91,6.11,8.64,1398.9,0.645,✔️,0.0,False,GPU
-11,🌳,Tree-based,[XGBoost (tuned)](https://arxiv.org/abs/1603.02754),1592.0,+115/-74,0.431,16.09,11.87,8.696,207.65,0.056,✔️,0.0,False,CPU
-12,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned)](https://arxiv.org/abs/2511.08667),1586.0,+203/-117,0.471,16.39,6.11,8.38,783.29,1.924,✔️,0.0,False,GPU
-13,🧠🔁,Neural Network,[RealMLP (tuned)](https://arxiv.org/abs/2407.04491),1555.0,+129/-89,0.34,17.91,9.57,8.734,1624.54,0.083,✔️,0.0,False,GPU
-14,🌳,Tree-based,[LightGBM (tuned)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1546.0,+168/-78,0.351,18.4,11.79,9.818,93.21,0.087,✔️,0.0,False,CPU
-15,🧠🔁,Neural Network,[TabM (tuned)](https://arxiv.org/abs/2410.24210),1545.0,+183/-146,0.414,18.43,6.86,9.353,1398.9,0.062,✔️,0.0,False,GPU
-16,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (default)](https://arxiv.org/abs/2511.08667),1536.0,+148/-119,0.419,18.92,8.42,9.128,2.3,0.82,✔️,0.0,False,GPU
-17,🧠⚡,Foundation Model,[TabICL (default)](https://arxiv.org/abs/2502.05564),1513.0,+160/-143,0.417,20.12,9.17,9.75,7.51,3.146,✔️,0.0,False,GPU
-18,🧠🔁,Neural Network,[ModernNCA (tuned)](https://arxiv.org/abs/2407.03257),1501.0,+112/-82,0.269,20.71,14.13,10.252,2338.19,0.54,✔️,0.0,False,GPU
-19,🧠⚡,Foundation Model,[TabDPT (tuned + ensembled)](https://arxiv.org/abs/2410.18164),1479.0,+156/-138,0.329,21.91,8.17,9.97,4805.66,461.797,✔️,0.0,False,GPU
-20,🧠🔁,Neural Network,[TorchMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1469.0,+87/-76,0.239,22.43,15.32,10.088,1169.3,1.442,✔️,0.0,False,CPU
-21,🌳,Tree-based,[EBM (tuned + ensembled)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1458.0,+143/-105,0.22,23.03,15.4,12.545,893.93,0.205,✔️,0.0,False,CPU
-22,🌳,Tree-based,[XGBoost (default)](https://arxiv.org/abs/1603.02754),1433.0,+148/-126,0.258,24.44,15.01,10.933,0.47,0.052,✔️,0.0,False,CPU
-23,❓,Other,[xRFM (tuned + ensembled)](https://arxiv.org/abs/2508.10053),1414.0,+136/-127,0.178,25.5,16.3,12.445,709.85,2.929,✔️,0.0,False,GPU
-24,🌳,Tree-based,[EBM (tuned)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1391.0,+158/-107,0.143,26.82,20.15,13.595,893.93,0.016,✔️,0.0,False,CPU
-25,❓,Other,[xRFM (tuned)](https://arxiv.org/abs/2508.10053),1382.0,+132/-131,0.147,27.33,20.61,14.515,709.85,0.19,✔️,0.0,False,GPU
-26,🧠🔁,Neural Network,[TabM (default)](https://arxiv.org/abs/2410.24210),1376.0,+148/-151,0.221,27.64,15.75,12.68,5.67,0.081,✔️,0.0,False,GPU
-27,🧠🔁,Neural Network,[RealMLP (default)](https://arxiv.org/abs/2407.04491),1352.0,+85/-85,0.075,29.04,25.29,13.54,6.98,0.233,✔️,0.0,False,GPU
-28,🧠🔁,Neural Network,[FastaiMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1350.0,+97/-141,0.113,29.13,22.1,14.46,389.62,2.114,✔️,0.0,False,CPU
-29,🧠⚡,Foundation Model,[BetaTabPFN (default)](https://arxiv.org/abs/2502.02527),1343.0,+134/-130,0.126,29.53,21.59,15.921,84.36,0.919,➖,0.0,False,GPU
-30,🧠🔁,Neural Network,[TorchMLP (tuned)](https://arxiv.org/abs/2003.06505),1340.0,+85/-85,0.078,29.68,23.94,12.269,1169.3,0.053,✔️,0.0,False,CPU
-31,🌳,Tree-based,[EBM (default)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1336.0,+126/-104,0.088,29.92,25.61,15.629,2.09,0.019,✔️,0.0,False,CPU
-32,🌳,Tree-based,[RandomForest (tuned + ensembled)](https://link.springer.com/article/10.1023/A:1010933404324),1323.0,+116/-98,0.061,30.66,22.47,13.699,52.45,0.219,✔️,0.0,False,CPU
-33,🧠⚡,Foundation Model,[TabDPT (tuned)](https://arxiv.org/abs/2410.18164),1322.0,+112/-119,0.08,30.69,19.96,13.703,4805.66,43.211,✔️,0.0,False,GPU
-34,🧠🔁,Neural Network,[LimiX (default) [60.00% IMPUTED]](https://arxiv.org/abs/2509.03505),1304.0,+188/-188,0.211,31.71,14.31,18.746,0.44,0.016,➖,60.0,True,GPU
-35,🌳,Tree-based,[LightGBM (default)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1289.0,+92/-110,0.062,32.48,29.28,13.714,0.28,0.033,✔️,0.0,False,CPU
-36,🌳,Tree-based,[RandomForest (tuned)](https://link.springer.com/article/10.1023/A:1010933404324),1286.0,+123/-114,0.063,32.62,24.29,14.614,52.45,0.021,✔️,0.0,False,CPU
-37,🧠🔁,Neural Network,[ModernNCA (default)](https://arxiv.org/abs/2407.03257),1279.0,+79/-73,0.011,32.99,30.01,14.632,10.5,0.606,✔️,0.0,False,GPU
-38,🧠⚡,Foundation Model,[SAP-RPT-OSS (default)](https://arxiv.org/abs/2506.10707),1262.0,+67/-88,0.011,33.9,31.0,16.64,14.85,13.554,➖,0.0,False,GPU
-39,🌳,Tree-based,[ExtraTrees (tuned + ensembled)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1260.0,+73/-86,0.026,34.0,31.34,13.754,38.42,0.32,✔️,0.0,False,CPU
-40,🧠⚡,Foundation Model,[TabDPT (default)](https://arxiv.org/abs/2410.18164),1241.0,+122/-149,0.034,34.98,22.06,17.572,46.9,45.623,✔️,0.0,False,GPU
-41,🧠🔁,Neural Network,[FastaiMLP (tuned)](https://arxiv.org/abs/2003.06505),1214.0,+81/-142,0.034,36.34,30.97,17.64,389.62,0.112,✔️,0.0,False,CPU
-42,🌳,Tree-based,[ExtraTrees (tuned)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1201.0,+77/-85,0.013,36.93,34.78,15.542,38.42,0.028,✔️,0.0,False,CPU
-43,🧠🔁,Neural Network,[TorchMLP (default)](https://arxiv.org/abs/2003.06505),1176.0,+63/-72,0.0,38.14,36.49,16.74,1.87,0.046,✔️,0.0,False,CPU
-44,🧠🔁,Neural Network,[FastaiMLP (default)](https://arxiv.org/abs/2003.06505),1139.0,+109/-212,0.039,39.81,34.26,21.377,1.61,0.112,✔️,0.0,False,CPU
-45,📏,Baseline,[Linear (tuned + ensembled)](https://scikit-learn.org/stable/modules/linear_model.html),1097.0,+143/-229,0.007,41.59,37.35,26.806,43.46,0.087,✔️,0.0,False,CPU
-46,📏,Baseline,[KNN (tuned + ensembled)](https://scikit-learn.org/stable/modules/neighbors.html),1065.0,+95/-197,0.009,42.84,33.75,24.396,331.68,44.947,✔️,0.0,False,CPU
-47,📏,Baseline,[Linear (tuned)](https://scikit-learn.org/stable/modules/linear_model.html),1046.0,+151/-234,0.004,43.55,40.11,28.029,43.46,0.021,✔️,0.0,False,CPU
-48,🌳,Tree-based,[RandomForest (default)](https://link.springer.com/article/10.1023/A:1010933404324),1000.0,+99/-170,0.0,45.17,44.0,22.389,0.12,0.013,✔️,0.0,False,CPU
-49,📏,Baseline,[Linear (default)](https://scikit-learn.org/stable/modules/linear_model.html),924.0,+135/-230,0.0,47.47,45.99,29.601,0.2,0.023,✔️,0.0,False,CPU
-50,❓,Other,[xRFM (default)](https://arxiv.org/abs/2508.10053),915.0,+200/-468,0.022,47.71,41.94,31.192,2.8,0.224,✔️,0.0,False,GPU
-51,🌳,Tree-based,[ExtraTrees (default)](https://link.springer.com/article/10.1007/s10994-006-6226-1),880.0,+89/-204,0.0,48.6,48.15,26.755,0.09,0.019,✔️,0.0,False,CPU
-52,🧠⚡,Foundation Model,[TabFlex (default)](https://arxiv.org/abs/2506.05584),856.0,+108/-175,0.0,49.17,48.37,32.973,0.2,0.033,➖,0.0,False,GPU
-53,📏,Baseline,[KNN (tuned)](https://scikit-learn.org/stable/modules/neighbors.html),814.0,+66/-149,0.0,50.06,49.68,32.101,331.68,1.626,✔️,0.0,False,CPU
-54,📏,Baseline,[KNN (default)](https://scikit-learn.org/stable/modules/neighbors.html),444.0,+126/-380,0.0,54.34,54.31,49.305,0.12,0.101,✔️,0.0,False,CPU
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diff --git a/data/imputation_yes/splits_all/tasks_classification/datasets_small/website_leaderboard.csv b/data/imputation_yes/splits_all/tasks_classification/datasets_small/website_leaderboard.csv
deleted file mode 100644
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-#,Type,TypeName,Model,Elo [⬆️],Elo 95% CI,Score [⬆️],Rank [⬇️],Harmonic Rank [⬇️],Improvability (%) [⬇️],Median Train Time (s/1K) [⬇️],Median Predict Time (s/1K) [⬇️],Verified,Imputed (%) [⬇️],Imputed,Hardware
-0,📊,Reference Pipeline,"[AutoGluon 1.4 (extreme, 4h)](https://arxiv.org/abs/2003.06505)",1601.0,+78/-59,0.706,10.13,4.55,8.755,610.76,8.082,✔️,0.0,False,GPU
-1,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned + ensembled)](https://arxiv.org/abs/2511.08667),1599.0,+89/-83,0.721,10.19,3.78,6.207,2289.05,8.114,✔️,0.0,False,GPU
-2,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned)](https://arxiv.org/abs/2511.08667),1580.0,+76/-68,0.693,10.98,4.44,7.33,2289.05,1.254,✔️,0.0,False,GPU
-3,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (default)](https://arxiv.org/abs/2511.08667),1579.0,+77/-78,0.703,11.03,5.46,7.673,6.07,0.762,✔️,0.0,False,GPU
-4,🧠🔁,Neural Network,[LimiX (default) [0.40% IMPUTED]](https://arxiv.org/abs/2509.03505),1487.0,+83/-68,0.547,15.6,5.71,11.136,4.62,0.633,➖,0.4,True,GPU
-5,🧠⚡,Foundation Model,[TabPFNv2 (tuned + ensembled) [7.14% IMPUTED]](https://www.nature.com/articles/s41586-024-08328-6),1484.0,+85/-75,0.533,15.78,6.21,12.079,3302.86,45.811,✔️,7.14,True,GPU
-6,🧠🔁,Neural Network,[Mitra (default) [7.14% IMPUTED]](https://arxiv.org/abs/2510.21204),1481.0,+90/-77,0.551,15.98,6.64,12.603,144.27,3.772,✔️,7.14,True,GPU
-7,🧠🔁,Neural Network,[RealMLP (tuned + ensembled)](https://arxiv.org/abs/2407.04491),1454.0,+67/-52,0.423,17.53,10.17,12.696,3422.82,18.936,✔️,0.0,False,GPU
-8,🧠🔁,Neural Network,[TabM (tuned + ensembled)](https://arxiv.org/abs/2410.24210),1428.0,+67/-55,0.368,19.08,10.37,13.91,3170.35,1.694,✔️,0.0,False,GPU
-9,📊,Reference Pipeline,"[AutoGluon 1.4 (best, 4h)](https://arxiv.org/abs/2003.06505)",1422.0,+78/-53,0.359,19.45,10.39,13.529,3143.8,1.884,✔️,0.0,False,CPU
-10,🧠⚡,Foundation Model,[TabICL (default) [7.14% IMPUTED]](https://arxiv.org/abs/2502.05564),1413.0,+83/-60,0.414,20.02,7.06,13.544,8.89,1.714,✔️,7.14,True,GPU
-11,🧠⚡,Foundation Model,[TabDPT (tuned + ensembled)](https://arxiv.org/abs/2410.18164),1407.0,+67/-63,0.391,20.44,7.13,12.154,5271.34,231.986,✔️,0.0,False,GPU
-12,🧠⚡,Foundation Model,[TabPFNv2 (tuned) [7.14% IMPUTED]](https://www.nature.com/articles/s41586-024-08328-6),1405.0,+105/-82,0.408,20.57,6.99,14.588,3302.86,0.929,✔️,7.14,True,GPU
-13,🧠⚡,Foundation Model,[BetaTabPFN (default)](https://arxiv.org/abs/2502.02527),1386.0,+67/-50,0.364,21.74,11.09,15.701,330.95,2.359,➖,0.0,False,GPU
-14,🧠🔁,Neural Network,[TabM (tuned)](https://arxiv.org/abs/2410.24210),1374.0,+57/-61,0.288,22.57,12.15,14.859,3170.35,0.241,✔️,0.0,False,GPU
-15,🧠⚡,Foundation Model,[TabDPT (tuned)](https://arxiv.org/abs/2410.18164),1373.0,+72/-60,0.352,22.62,7.45,13.121,5271.34,33.986,✔️,0.0,False,GPU
-16,🌳,Tree-based,[LightGBM (tuned + ensembled)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1372.0,+46/-35,0.251,22.67,15.62,15.535,735.1,1.901,✔️,0.0,False,CPU
-17,🧠🔁,Neural Network,[RealMLP (tuned)](https://arxiv.org/abs/2407.04491),1371.0,+58/-52,0.279,22.77,12.11,14.38,3422.82,1.534,✔️,0.0,False,GPU
-18,🧠⚡,Foundation Model,[TabPFNv2 (default) [7.14% IMPUTED]](https://www.nature.com/articles/s41586-024-08328-6),1369.0,+79/-72,0.383,22.85,9.59,15.767,4.15,0.42,✔️,7.14,True,GPU
-19,🌳,Tree-based,[LightGBM (tuned)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1347.0,+44/-30,0.195,24.36,17.62,15.918,735.1,0.311,✔️,0.0,False,CPU
-20,🌳,Tree-based,[CatBoost (tuned + ensembled)](https://arxiv.org/abs/1706.09516),1334.0,+41/-35,0.185,25.19,18.22,15.93,1714.62,0.768,✔️,0.0,False,CPU
-21,🧠🔁,Neural Network,[ModernNCA (tuned)](https://arxiv.org/abs/2407.03257),1328.0,+51/-50,0.202,25.61,11.11,15.382,6047.72,0.525,✔️,0.0,False,GPU
-22,🌳,Tree-based,[CatBoost (tuned)](https://arxiv.org/abs/1706.09516),1324.0,+38/-31,0.176,25.93,19.06,16.119,1714.62,0.098,✔️,0.0,False,CPU
-23,🧠⚡,Foundation Model,[SAP-RPT-OSS (default)](https://arxiv.org/abs/2506.10707),1320.0,+72/-69,0.319,26.2,8.23,16.547,13.27,1.624,➖,0.0,False,GPU
-24,❓,Other,[xRFM (tuned + ensembled)](https://arxiv.org/abs/2508.10053),1311.0,+56/-59,0.196,26.81,15.77,16.59,1053.84,3.063,✔️,0.0,False,GPU
-25,🌳,Tree-based,[XGBoost (tuned + ensembled)](https://arxiv.org/abs/1603.02754),1304.0,+44/-49,0.161,27.26,19.08,16.799,797.9,2.228,✔️,0.0,False,CPU
-26,🧠🔁,Neural Network,[ModernNCA (tuned + ensembled)](https://arxiv.org/abs/2407.03257),1300.0,+78/-76,0.234,27.53,12.17,16.301,6047.72,8.744,✔️,0.0,False,GPU
-27,🌳,Tree-based,[CatBoost (default)](https://arxiv.org/abs/1706.09516),1300.0,+44/-38,0.162,27.54,18.92,16.887,7.19,0.118,✔️,0.0,False,CPU
-28,🧠🔁,Neural Network,[TabM (default)](https://arxiv.org/abs/2410.24210),1296.0,+58/-61,0.221,27.85,15.73,17.397,10.78,0.17,✔️,0.0,False,GPU
-29,🧠⚡,Foundation Model,[TabDPT (default)](https://arxiv.org/abs/2410.18164),1290.0,+78/-81,0.279,28.26,9.18,16.152,51.44,43.709,✔️,0.0,False,GPU
-30,🌳,Tree-based,[XGBoost (tuned)](https://arxiv.org/abs/1603.02754),1290.0,+40/-42,0.123,28.27,19.15,17.027,797.9,0.353,✔️,0.0,False,CPU
-31,🌳,Tree-based,[EBM (tuned + ensembled)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1273.0,+41/-36,0.123,29.38,19.75,17.891,3351.28,0.544,✔️,0.0,False,CPU
-32,❓,Other,[xRFM (tuned)](https://arxiv.org/abs/2508.10053),1267.0,+56/-60,0.139,29.83,15.93,17.874,1053.84,0.169,✔️,0.0,False,GPU
-33,🧠🔁,Neural Network,[TorchMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1265.0,+53/-51,0.127,29.96,20.88,17.22,2977.49,2.415,✔️,0.0,False,CPU
-34,🌳,Tree-based,[EBM (tuned)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1246.0,+46/-42,0.09,31.22,19.25,18.5,3351.28,0.064,✔️,0.0,False,CPU
-35,🧠🔁,Neural Network,[ModernNCA (default)](https://arxiv.org/abs/2407.03257),1244.0,+53/-57,0.128,31.38,16.45,19.556,15.54,0.346,✔️,0.0,False,GPU
-36,🧠🔁,Neural Network,[FastaiMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1240.0,+70/-61,0.161,31.64,16.35,18.844,1423.89,9.208,✔️,0.0,False,CPU
-37,🌳,Tree-based,[EBM (default)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1227.0,+56/-49,0.104,32.57,19.24,19.423,8.03,0.059,✔️,0.0,False,CPU
-38,🧠🔁,Neural Network,[RealMLP (default)](https://arxiv.org/abs/2407.04491),1207.0,+44/-41,0.063,33.9,21.79,18.953,14.89,4.433,✔️,0.0,False,GPU
-39,🌳,Tree-based,[ExtraTrees (tuned + ensembled)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1199.0,+80/-70,0.102,34.42,19.98,21.141,399.55,1.466,✔️,0.0,False,CPU
-40,🧠🔁,Neural Network,[TorchMLP (tuned)](https://arxiv.org/abs/2003.06505),1192.0,+44/-57,0.075,34.9,22.71,19.433,2977.49,0.156,✔️,0.0,False,CPU
-41,🧠🔁,Neural Network,[FastaiMLP (tuned)](https://arxiv.org/abs/2003.06505),1190.0,+57/-52,0.07,35.03,19.9,20.194,1423.89,0.749,✔️,0.0,False,CPU
-42,🌳,Tree-based,[XGBoost (default)](https://arxiv.org/abs/1603.02754),1170.0,+41/-47,0.025,36.31,29.42,20.014,2.79,0.238,✔️,0.0,False,CPU
-43,🌳,Tree-based,[ExtraTrees (tuned)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1162.0,+81/-74,0.076,36.87,20.33,22.149,399.55,0.174,✔️,0.0,False,CPU
-44,🌳,Tree-based,[LightGBM (default)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1155.0,+49/-53,0.052,37.26,30.2,20.432,3.15,0.141,✔️,0.0,False,CPU
-45,🌳,Tree-based,[RandomForest (tuned + ensembled)](https://link.springer.com/article/10.1023/A:1010933404324),1149.0,+76/-88,0.089,37.67,20.44,22.415,571.65,1.39,✔️,0.0,False,CPU
-46,🌳,Tree-based,[RandomForest (tuned)](https://link.springer.com/article/10.1023/A:1010933404324),1109.0,+74/-74,0.048,40.13,19.97,23.263,571.65,0.129,✔️,0.0,False,CPU
-47,🧠🔁,Neural Network,[TorchMLP (default)](https://arxiv.org/abs/2003.06505),1058.0,+60/-66,0.014,43.08,31.28,24.229,11.29,0.204,✔️,0.0,False,CPU
-48,🧠⚡,Foundation Model,[TabFlex (default)](https://arxiv.org/abs/2506.05584),1044.0,+91/-101,0.082,43.87,26.17,27.374,2.59,0.533,➖,0.0,False,GPU
-49,❓,Other,[xRFM (default)](https://arxiv.org/abs/2508.10053),1024.0,+75/-108,0.019,44.88,36.85,26.257,4.95,1.012,✔️,0.0,False,GPU
-50,📏,Baseline,[Linear (tuned + ensembled)](https://scikit-learn.org/stable/modules/linear_model.html),1022.0,+76/-95,0.051,45.0,30.04,31.052,483.02,0.874,✔️,0.0,False,CPU
-51,📏,Baseline,[KNN (tuned + ensembled)](https://scikit-learn.org/stable/modules/neighbors.html),1009.0,+86/-112,0.028,45.66,28.74,28.912,121.17,1.63,✔️,0.0,False,CPU
-52,🧠🔁,Neural Network,[FastaiMLP (default)](https://arxiv.org/abs/2003.06505),1009.0,+66/-74,0.0,45.67,29.57,25.706,5.04,0.646,✔️,0.0,False,CPU
-53,🌳,Tree-based,[RandomForest (default)](https://link.springer.com/article/10.1023/A:1010933404324),1000.0,+66/-75,0.006,46.1,38.9,28.664,0.46,0.068,✔️,0.0,False,CPU
-54,📏,Baseline,[Linear (tuned)](https://scikit-learn.org/stable/modules/linear_model.html),998.0,+76/-98,0.034,46.2,31.86,31.614,483.02,0.113,✔️,0.0,False,CPU
-55,🌳,Tree-based,[ExtraTrees (default)](https://link.springer.com/article/10.1007/s10994-006-6226-1),960.0,+76/-103,0.009,47.95,41.01,30.118,0.42,0.074,✔️,0.0,False,CPU
-56,📏,Baseline,[Linear (default)](https://scikit-learn.org/stable/modules/linear_model.html),923.0,+96/-134,0.021,49.45,34.85,34.861,2.39,0.143,✔️,0.0,False,CPU
-57,📏,Baseline,[KNN (tuned)](https://scikit-learn.org/stable/modules/neighbors.html),921.0,+103/-114,0.014,49.54,33.12,34.544,121.17,0.136,✔️,0.0,False,CPU
-58,📏,Baseline,[KNN (default)](https://scikit-learn.org/stable/modules/neighbors.html),582.0,+115/-170,0.0,57.33,52.6,49.849,0.28,0.023,✔️,0.0,False,CPU
diff --git a/data/imputation_yes/splits_all/tasks_classification/datasets_small/winrate_matrix.png.zip b/data/imputation_yes/splits_all/tasks_classification/datasets_small/winrate_matrix.png.zip
deleted file mode 100644
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deleted file mode 100644
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diff --git a/data/imputation_yes/splits_all/tasks_classification/datasets_tabpfn/pareto_front_improvability_vs_time_infer.png.zip b/data/imputation_yes/splits_all/tasks_classification/datasets_tabpfn/pareto_front_improvability_vs_time_infer.png.zip
deleted file mode 100644
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diff --git a/data/imputation_yes/splits_all/tasks_classification/datasets_tabpfn/tuning-impact-elo.png.zip b/data/imputation_yes/splits_all/tasks_classification/datasets_tabpfn/tuning-impact-elo.png.zip
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diff --git a/data/imputation_yes/splits_all/tasks_classification/datasets_tabpfn/website_leaderboard.csv b/data/imputation_yes/splits_all/tasks_classification/datasets_tabpfn/website_leaderboard.csv
deleted file mode 100644
index 1f9cf6227b8613a285e17df780d5726301fd6b67..0000000000000000000000000000000000000000
--- a/data/imputation_yes/splits_all/tasks_classification/datasets_tabpfn/website_leaderboard.csv
+++ /dev/null
@@ -1,60 +0,0 @@
-#,Type,TypeName,Model,Elo [⬆️],Elo 95% CI,Score [⬆️],Rank [⬇️],Harmonic Rank [⬇️],Improvability (%) [⬇️],Median Train Time (s/1K) [⬇️],Median Predict Time (s/1K) [⬇️],Verified,Imputed (%) [⬇️],Imputed,Hardware
-0,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned + ensembled)](https://arxiv.org/abs/2511.08667),1630.0,+84/-80,0.722,10.0,3.9,6.61,2168.17,7.961,✔️,0.0,False,GPU
-1,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (default)](https://arxiv.org/abs/2511.08667),1628.0,+70/-56,0.738,10.07,5.21,7.958,5.99,0.633,✔️,0.0,False,GPU
-2,📊,Reference Pipeline,"[AutoGluon 1.4 (extreme, 4h)](https://arxiv.org/abs/2003.06505)",1620.0,+83/-64,0.696,10.38,4.74,9.368,604.44,8.082,✔️,0.0,False,GPU
-3,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned)](https://arxiv.org/abs/2511.08667),1610.0,+80/-71,0.697,10.81,4.41,7.752,2168.17,1.23,✔️,0.0,False,GPU
-4,🧠⚡,Foundation Model,[TabPFNv2 (tuned + ensembled)](https://www.nature.com/articles/s41586-024-08328-6),1540.0,+70/-55,0.57,14.09,5.86,11.475,3445.6,48.236,✔️,0.0,False,GPU
-5,🧠🔁,Neural Network,[Mitra (default)](https://arxiv.org/abs/2510.21204),1533.0,+79/-59,0.59,14.47,6.28,12.049,146.65,4.101,✔️,0.0,False,GPU
-6,🧠🔁,Neural Network,[LimiX (default)](https://arxiv.org/abs/2509.03505),1516.0,+88/-72,0.568,15.35,5.73,11.77,4.37,0.585,➖,0.0,False,GPU
-7,🧠🔁,Neural Network,[RealMLP (tuned + ensembled)](https://arxiv.org/abs/2407.04491),1482.0,+62/-44,0.437,17.25,10.01,13.427,3169.9,16.793,✔️,0.0,False,GPU
-8,🧠⚡,Foundation Model,[TabICL (default)](https://arxiv.org/abs/2502.05564),1456.0,+72/-61,0.442,18.82,6.68,13.063,8.89,1.743,✔️,0.0,False,GPU
-9,🧠🔁,Neural Network,[TabM (tuned + ensembled)](https://arxiv.org/abs/2410.24210),1450.0,+70/-46,0.366,19.14,10.17,14.712,2828.45,1.596,✔️,0.0,False,GPU
-10,🧠⚡,Foundation Model,[TabPFNv2 (tuned)](https://www.nature.com/articles/s41586-024-08328-6),1449.0,+81/-72,0.436,19.25,6.6,14.177,3445.6,0.995,✔️,0.0,False,GPU
-11,📊,Reference Pipeline,"[AutoGluon 1.4 (best, 4h)](https://arxiv.org/abs/2003.06505)",1440.0,+63/-54,0.357,19.77,10.75,14.274,2898.23,1.884,✔️,0.0,False,CPU
-12,🧠⚡,Foundation Model,[TabDPT (tuned + ensembled)](https://arxiv.org/abs/2410.18164),1422.0,+77/-69,0.38,20.9,7.02,12.892,5119.36,231.986,✔️,0.0,False,GPU
-13,🧠⚡,Foundation Model,[BetaTabPFN (default)](https://arxiv.org/abs/2502.02527),1421.0,+60/-51,0.365,20.98,10.75,16.153,330.95,2.023,➖,0.0,False,GPU
-14,🧠⚡,Foundation Model,[TabPFNv2 (default)](https://www.nature.com/articles/s41586-024-08328-6),1407.0,+83/-71,0.408,21.87,9.13,15.457,4.06,0.436,✔️,0.0,False,GPU
-15,🧠🔁,Neural Network,[RealMLP (tuned)](https://arxiv.org/abs/2407.04491),1397.0,+55/-54,0.293,22.5,11.81,15.095,3169.9,1.446,✔️,0.0,False,GPU
-16,🧠⚡,Foundation Model,[TabDPT (tuned)](https://arxiv.org/abs/2410.18164),1397.0,+83/-72,0.355,22.53,7.11,13.762,5119.36,26.967,✔️,0.0,False,GPU
-17,🧠🔁,Neural Network,[TabM (tuned)](https://arxiv.org/abs/2410.24210),1396.0,+71/-50,0.286,22.61,11.93,15.679,2828.45,0.216,✔️,0.0,False,GPU
-18,🌳,Tree-based,[LightGBM (tuned + ensembled)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1385.0,+41/-34,0.23,23.31,16.06,16.533,647.56,1.72,✔️,0.0,False,CPU
-19,🌳,Tree-based,[LightGBM (tuned)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1360.0,+36/-29,0.175,24.97,17.95,16.914,647.56,0.284,✔️,0.0,False,CPU
-20,🌳,Tree-based,[CatBoost (tuned + ensembled)](https://arxiv.org/abs/1706.09516),1354.0,+49/-35,0.183,25.37,18.19,16.88,1465.86,0.692,✔️,0.0,False,CPU
-21,🧠🔁,Neural Network,[ModernNCA (tuned)](https://arxiv.org/abs/2407.03257),1352.0,+55/-50,0.195,25.47,11.28,16.083,5944.88,0.516,✔️,0.0,False,GPU
-22,🧠⚡,Foundation Model,[SAP-RPT-OSS (default)](https://arxiv.org/abs/2506.10707),1349.0,+77/-82,0.339,25.69,8.08,17.238,12.28,1.411,➖,0.0,False,GPU
-23,🌳,Tree-based,[CatBoost (tuned)](https://arxiv.org/abs/1706.09516),1340.0,+46/-34,0.17,26.28,19.43,17.1,1465.86,0.091,✔️,0.0,False,CPU
-24,🧠🔁,Neural Network,[TabM (default)](https://arxiv.org/abs/2410.24210),1323.0,+64/-56,0.225,27.4,15.15,18.17,10.42,0.155,✔️,0.0,False,GPU
-25,🌳,Tree-based,[XGBoost (tuned + ensembled)](https://arxiv.org/abs/1603.02754),1322.0,+44/-41,0.156,27.46,19.79,17.817,766.06,1.917,✔️,0.0,False,CPU
-26,🧠🔁,Neural Network,[ModernNCA (tuned + ensembled)](https://arxiv.org/abs/2407.03257),1321.0,+95/-83,0.243,27.58,11.91,17.226,5944.88,8.396,✔️,0.0,False,GPU
-27,🌳,Tree-based,[CatBoost (default)](https://arxiv.org/abs/1706.09516),1318.0,+47/-42,0.157,27.75,18.7,17.881,5.72,0.11,✔️,0.0,False,CPU
-28,🧠⚡,Foundation Model,[TabDPT (default)](https://arxiv.org/abs/2410.18164),1318.0,+87/-95,0.301,27.79,8.7,16.871,50.32,43.824,✔️,0.0,False,GPU
-29,❓,Other,[xRFM (tuned + ensembled)](https://arxiv.org/abs/2508.10053),1317.0,+50/-52,0.169,27.84,17.12,17.652,934.1,2.767,✔️,0.0,False,GPU
-30,🌳,Tree-based,[XGBoost (tuned)](https://arxiv.org/abs/1603.02754),1306.0,+39/-35,0.117,28.55,19.61,18.047,766.06,0.278,✔️,0.0,False,CPU
-31,🌳,Tree-based,[EBM (tuned + ensembled)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1295.0,+46/-40,0.114,29.34,19.33,18.806,2686.11,0.47,✔️,0.0,False,CPU
-32,🧠🔁,Neural Network,[TorchMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1291.0,+57/-54,0.137,29.6,20.38,17.96,2862.05,2.158,✔️,0.0,False,CPU
-33,🧠🔁,Neural Network,[ModernNCA (default)](https://arxiv.org/abs/2407.03257),1281.0,+46/-57,0.138,30.25,15.68,19.639,14.8,0.337,✔️,0.0,False,GPU
-34,❓,Other,[xRFM (tuned)](https://arxiv.org/abs/2508.10053),1275.0,+50/-49,0.119,30.68,17.18,18.979,934.1,0.165,✔️,0.0,False,GPU
-35,🧠🔁,Neural Network,[FastaiMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1272.0,+77/-86,0.173,30.88,15.62,19.54,1358.63,8.067,✔️,0.0,False,CPU
-36,🌳,Tree-based,[EBM (tuned)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1267.0,+44/-46,0.08,31.22,18.79,19.416,2686.11,0.056,✔️,0.0,False,CPU
-37,🌳,Tree-based,[EBM (default)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1242.0,+49/-45,0.083,32.89,19.61,20.271,7.4,0.057,✔️,0.0,False,CPU
-38,🧠🔁,Neural Network,[RealMLP (default)](https://arxiv.org/abs/2407.04491),1240.0,+44/-39,0.068,33.04,20.96,19.431,13.83,3.953,✔️,0.0,False,GPU
-39,🧠🔁,Neural Network,[FastaiMLP (tuned)](https://arxiv.org/abs/2003.06505),1216.0,+64/-77,0.075,34.6,19.66,20.91,1358.63,0.897,✔️,0.0,False,CPU
-40,🧠🔁,Neural Network,[TorchMLP (tuned)](https://arxiv.org/abs/2003.06505),1211.0,+52/-43,0.063,34.95,22.57,20.228,2862.05,0.152,✔️,0.0,False,CPU
-41,🌳,Tree-based,[ExtraTrees (tuned + ensembled)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1197.0,+60/-66,0.073,35.83,24.35,22.47,370.85,1.466,✔️,0.0,False,CPU
-42,🌳,Tree-based,[XGBoost (default)](https://arxiv.org/abs/1603.02754),1183.0,+45/-43,0.022,36.73,30.5,21.153,2.4,0.218,✔️,0.0,False,CPU
-43,🌳,Tree-based,[ExtraTrees (tuned)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1159.0,+62/-69,0.043,38.24,26.46,23.47,370.85,0.161,✔️,0.0,False,CPU
-44,🌳,Tree-based,[LightGBM (default)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1152.0,+36/-44,0.027,38.64,33.15,21.722,2.9,0.133,✔️,0.0,False,CPU
-45,🌳,Tree-based,[RandomForest (tuned + ensembled)](https://link.springer.com/article/10.1023/A:1010933404324),1132.0,+70/-68,0.041,39.91,25.86,23.974,527.42,1.39,✔️,0.0,False,CPU
-46,🌳,Tree-based,[RandomForest (tuned)](https://link.springer.com/article/10.1023/A:1010933404324),1092.0,+60/-65,0.01,42.2,27.78,24.812,527.42,0.123,✔️,0.0,False,CPU
-47,🧠🔁,Neural Network,[TorchMLP (default)](https://arxiv.org/abs/2003.06505),1079.0,+55/-62,0.016,42.9,30.59,25.033,10.38,0.188,✔️,0.0,False,CPU
-48,🧠⚡,Foundation Model,[TabFlex (default)](https://arxiv.org/abs/2506.05584),1070.0,+82/-130,0.089,43.44,25.27,27.954,2.43,0.495,➖,0.0,False,GPU
-49,📏,Baseline,[Linear (tuned + ensembled)](https://scikit-learn.org/stable/modules/linear_model.html),1057.0,+99/-105,0.054,44.12,28.99,30.261,436.81,0.874,✔️,0.0,False,CPU
-50,❓,Other,[xRFM (default)](https://arxiv.org/abs/2508.10053),1033.0,+90/-101,0.02,45.32,36.7,27.651,4.4,0.974,✔️,0.0,False,GPU
-51,📏,Baseline,[Linear (tuned)](https://scikit-learn.org/stable/modules/linear_model.html),1032.0,+100/-102,0.037,45.36,30.81,30.773,436.81,0.106,✔️,0.0,False,CPU
-52,🧠🔁,Neural Network,[FastaiMLP (default)](https://arxiv.org/abs/2003.06505),1032.0,+72/-82,0.0,45.4,28.7,26.194,4.73,0.623,✔️,0.0,False,CPU
-53,📏,Baseline,[KNN (tuned + ensembled)](https://scikit-learn.org/stable/modules/neighbors.html),1009.0,+76/-105,0.016,46.49,33.08,30.21,113.26,1.55,✔️,0.0,False,CPU
-54,🌳,Tree-based,[RandomForest (default)](https://link.springer.com/article/10.1023/A:1010933404324),1000.0,+61/-84,0.003,46.9,40.2,29.346,0.45,0.066,✔️,0.0,False,CPU
-55,🌳,Tree-based,[ExtraTrees (default)](https://link.springer.com/article/10.1007/s10994-006-6226-1),970.0,+75/-110,0.009,48.23,40.88,30.707,0.4,0.07,✔️,0.0,False,CPU
-56,📏,Baseline,[Linear (default)](https://scikit-learn.org/stable/modules/linear_model.html),958.0,+90/-124,0.023,48.74,33.8,33.52,2.16,0.139,✔️,0.0,False,CPU
-57,📏,Baseline,[KNN (tuned)](https://scikit-learn.org/stable/modules/neighbors.html),910.0,+86/-140,0.001,50.55,34.68,36.12,113.26,0.12,✔️,0.0,False,CPU
-58,📏,Baseline,[KNN (default)](https://scikit-learn.org/stable/modules/neighbors.html),599.0,+121/-261,0.0,57.31,52.26,49.949,0.26,0.023,✔️,0.0,False,CPU
diff --git a/data/imputation_yes/splits_all/tasks_classification/datasets_tabpfn/winrate_matrix.png.zip b/data/imputation_yes/splits_all/tasks_classification/datasets_tabpfn/winrate_matrix.png.zip
deleted file mode 100644
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--- a/data/imputation_yes/splits_all/tasks_classification/datasets_tabpfn/winrate_matrix.png.zip
+++ /dev/null
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deleted file mode 100644
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diff --git a/data/imputation_yes/splits_all/tasks_multiclass/datasets_all/pareto_front_improvability_vs_time_infer.png.zip b/data/imputation_yes/splits_all/tasks_multiclass/datasets_all/pareto_front_improvability_vs_time_infer.png.zip
deleted file mode 100644
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+++ /dev/null
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diff --git a/data/imputation_yes/splits_all/tasks_multiclass/datasets_all/tuning-impact-elo.png.zip b/data/imputation_yes/splits_all/tasks_multiclass/datasets_all/tuning-impact-elo.png.zip
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diff --git a/data/imputation_yes/splits_all/tasks_multiclass/datasets_all/website_leaderboard.csv b/data/imputation_yes/splits_all/tasks_multiclass/datasets_all/website_leaderboard.csv
deleted file mode 100644
index 262a4ebfd810b8339feca5c714a12a218ec891cb..0000000000000000000000000000000000000000
--- a/data/imputation_yes/splits_all/tasks_multiclass/datasets_all/website_leaderboard.csv
+++ /dev/null
@@ -1,60 +0,0 @@
-#,Type,TypeName,Model,Elo [⬆️],Elo 95% CI,Score [⬆️],Rank [⬇️],Harmonic Rank [⬇️],Improvability (%) [⬇️],Median Train Time (s/1K) [⬇️],Median Predict Time (s/1K) [⬇️],Verified,Imputed (%) [⬇️],Imputed,Hardware
-0,📊,Reference Pipeline,"[AutoGluon 1.4 (extreme, 4h)](https://arxiv.org/abs/2003.06505)",1713.0,+144/-65,0.825,7.37,4.75,10.208,1045.67,7.086,✔️,0.0,False,GPU
-1,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned)](https://arxiv.org/abs/2511.08667),1701.0,+204/-92,0.817,7.74,3.55,7.8,2710.27,1.347,✔️,0.0,False,GPU
-2,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned + ensembled)](https://arxiv.org/abs/2511.08667),1697.0,+258/-132,0.818,7.87,2.49,6.994,2710.27,8.099,✔️,0.0,False,GPU
-3,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (default)](https://arxiv.org/abs/2511.08667),1572.0,+216/-146,0.647,12.9,5.54,10.029,10.23,0.844,✔️,0.0,False,GPU
-4,📊,Reference Pipeline,"[AutoGluon 1.4 (best, 4h)](https://arxiv.org/abs/2003.06505)",1497.0,+188/-95,0.427,16.82,6.29,14.967,6219.24,3.78,✔️,0.0,False,CPU
-5,🧠🔁,Neural Network,[LimiX (default) [12.50% IMPUTED]](https://arxiv.org/abs/2509.03505),1489.0,+163/-102,0.458,17.23,6.37,13.127,5.85,0.91,➖,12.5,True,GPU
-6,🧠🔁,Neural Network,[RealMLP (tuned + ensembled)](https://arxiv.org/abs/2407.04491),1485.0,+157/-105,0.479,17.47,8.36,13.946,4150.25,19.131,✔️,0.0,False,GPU
-7,🧠⚡,Foundation Model,[TabPFNv2 (tuned + ensembled) [25.00% IMPUTED]](https://www.nature.com/articles/s41586-024-08328-6),1474.0,+256/-212,0.584,18.12,6.06,17.636,2589.89,10.803,✔️,25.0,True,GPU
-8,🧠🔁,Neural Network,[RealMLP (tuned)](https://arxiv.org/abs/2407.04491),1459.0,+128/-75,0.429,19.01,10.85,14.966,4150.25,3.423,✔️,0.0,False,GPU
-9,🧠🔁,Neural Network,[TabM (tuned + ensembled)](https://arxiv.org/abs/2410.24210),1446.0,+118/-79,0.394,19.82,11.61,17.475,5885.87,1.632,✔️,0.0,False,GPU
-10,🧠🔁,Neural Network,[Mitra (default) [25.00% IMPUTED]](https://arxiv.org/abs/2510.21204),1437.0,+195/-161,0.46,20.38,9.42,19.327,161.61,3.705,✔️,25.0,True,GPU
-11,🌳,Tree-based,[LightGBM (tuned + ensembled)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1432.0,+119/-83,0.321,20.73,14.66,16.943,1377.29,5.202,✔️,0.0,False,CPU
-12,🌳,Tree-based,[CatBoost (tuned + ensembled)](https://arxiv.org/abs/1706.09516),1427.0,+87/-56,0.302,21.0,17.63,15.747,3104.39,1.095,✔️,0.0,False,CPU
-13,🌳,Tree-based,[LightGBM (tuned)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1422.0,+102/-76,0.293,21.32,15.89,17.173,1377.29,1.259,✔️,0.0,False,CPU
-14,🧠⚡,Foundation Model,[TabDPT (tuned + ensembled)](https://arxiv.org/abs/2410.18164),1410.0,+166/-123,0.383,22.06,9.3,19.189,4635.14,212.285,✔️,0.0,False,GPU
-15,🧠🔁,Neural Network,[TabM (tuned)](https://arxiv.org/abs/2410.24210),1409.0,+110/-80,0.338,22.17,11.52,18.27,5885.87,0.299,✔️,0.0,False,GPU
-16,🌳,Tree-based,[CatBoost (tuned)](https://arxiv.org/abs/1706.09516),1403.0,+92/-58,0.246,22.53,18.35,16.361,3104.39,0.212,✔️,0.0,False,CPU
-17,🧠⚡,Foundation Model,[TabPFNv2 (tuned) [25.00% IMPUTED]](https://www.nature.com/articles/s41586-024-08328-6),1401.0,+194/-165,0.413,22.66,8.6,19.584,2589.89,0.54,✔️,25.0,True,GPU
-18,🧠⚡,Foundation Model,[TabPFNv2 (default) [25.00% IMPUTED]](https://www.nature.com/articles/s41586-024-08328-6),1391.0,+172/-142,0.344,23.32,12.8,18.475,6.47,0.363,✔️,25.0,True,GPU
-19,🌳,Tree-based,[XGBoost (tuned)](https://arxiv.org/abs/1603.02754),1384.0,+90/-79,0.24,23.73,18.91,17.544,2210.02,0.974,✔️,0.0,False,CPU
-20,🧠🔁,Neural Network,[ModernNCA (tuned + ensembled)](https://arxiv.org/abs/2407.03257),1381.0,+103/-76,0.208,23.96,16.37,16.752,7127.77,9.214,✔️,0.0,False,GPU
-21,🌳,Tree-based,[XGBoost (tuned + ensembled)](https://arxiv.org/abs/1603.02754),1378.0,+99/-79,0.231,24.1,18.79,17.654,2210.02,3.985,✔️,0.0,False,CPU
-22,🧠🔁,Neural Network,[ModernNCA (tuned)](https://arxiv.org/abs/2407.03257),1371.0,+70/-55,0.191,24.6,12.25,17.047,7127.77,0.776,✔️,0.0,False,GPU
-23,🧠⚡,Foundation Model,[TabDPT (tuned)](https://arxiv.org/abs/2410.18164),1358.0,+178/-117,0.328,25.4,10.25,20.911,4635.14,34.77,✔️,0.0,False,GPU
-24,❓,Other,[xRFM (tuned + ensembled)](https://arxiv.org/abs/2508.10053),1342.0,+145/-123,0.25,26.5,17.23,20.252,1980.6,3.605,✔️,0.0,False,GPU
-25,🧠⚡,Foundation Model,[SAP-RPT-OSS (default)](https://arxiv.org/abs/2506.10707),1340.0,+180/-227,0.396,26.64,6.01,17.775,22.52,1.682,➖,0.0,False,GPU
-26,🧠⚡,Foundation Model,[BetaTabPFN (default)](https://arxiv.org/abs/2502.02527),1339.0,+127/-112,0.268,26.68,19.5,20.624,507.73,4.428,➖,0.0,False,GPU
-27,🌳,Tree-based,[EBM (tuned + ensembled)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1336.0,+106/-96,0.195,26.86,18.65,19.36,36484.23,0.827,✔️,0.0,False,CPU
-28,🧠⚡,Foundation Model,[TabICL (default) [12.50% IMPUTED]](https://arxiv.org/abs/2502.05564),1312.0,+170/-169,0.265,28.46,12.67,22.813,10.98,1.898,✔️,12.5,True,GPU
-29,🧠🔁,Neural Network,[TabM (default)](https://arxiv.org/abs/2410.24210),1311.0,+122/-118,0.242,28.58,17.96,21.224,17.83,0.197,✔️,0.0,False,GPU
-30,🌳,Tree-based,[RandomForest (tuned + ensembled)](https://link.springer.com/article/10.1023/A:1010933404324),1305.0,+178/-173,0.281,29.0,12.01,21.62,737.91,1.864,✔️,0.0,False,CPU
-31,🌳,Tree-based,[ExtraTrees (tuned + ensembled)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1303.0,+168/-138,0.235,29.08,14.31,22.272,717.36,1.612,✔️,0.0,False,CPU
-32,🌳,Tree-based,[CatBoost (default)](https://arxiv.org/abs/1706.09516),1300.0,+84/-72,0.153,29.31,25.47,19.441,50.54,0.227,✔️,0.0,False,CPU
-33,🧠🔁,Neural Network,[TorchMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1295.0,+132/-112,0.113,29.63,22.53,20.944,3901.28,2.028,✔️,0.0,False,CPU
-34,🌳,Tree-based,[EBM (tuned)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1295.0,+107/-110,0.151,29.65,20.73,20.139,36484.23,0.127,✔️,0.0,False,CPU
-35,🌳,Tree-based,[EBM (default)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1263.0,+126/-132,0.151,31.73,23.98,21.963,19.31,0.108,✔️,0.0,False,CPU
-36,🌳,Tree-based,[ExtraTrees (tuned)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1259.0,+160/-155,0.194,31.98,13.22,23.704,717.36,0.326,✔️,0.0,False,CPU
-37,🌳,Tree-based,[RandomForest (tuned)](https://link.springer.com/article/10.1023/A:1010933404324),1256.0,+198/-203,0.223,32.2,10.58,22.999,737.91,0.316,✔️,0.0,False,CPU
-38,🧠⚡,Foundation Model,[TabDPT (default)](https://arxiv.org/abs/2410.18164),1255.0,+204/-140,0.219,32.24,9.42,23.735,43.39,42.575,✔️,0.0,False,GPU
-39,🧠🔁,Neural Network,[FastaiMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1252.0,+169/-163,0.206,32.42,14.26,24.508,2644.99,12.294,✔️,0.0,False,CPU
-40,❓,Other,[xRFM (tuned)](https://arxiv.org/abs/2508.10053),1248.0,+136/-119,0.156,32.71,18.48,22.566,1980.6,0.61,✔️,0.0,False,GPU
-41,🧠🔁,Neural Network,[TorchMLP (tuned)](https://arxiv.org/abs/2003.06505),1233.0,+116/-144,0.126,33.68,23.52,23.181,3901.28,0.223,✔️,0.0,False,CPU
-42,🌳,Tree-based,[XGBoost (default)](https://arxiv.org/abs/1603.02754),1231.0,+115/-79,0.068,33.8,29.15,20.935,4.72,0.542,✔️,0.0,False,CPU
-43,🌳,Tree-based,[LightGBM (default)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1209.0,+147/-120,0.136,35.17,26.88,22.964,5.04,0.429,✔️,0.0,False,CPU
-44,🧠🔁,Neural Network,[FastaiMLP (tuned)](https://arxiv.org/abs/2003.06505),1201.0,+124/-146,0.098,35.68,19.52,25.599,2644.99,1.148,✔️,0.0,False,CPU
-45,🧠🔁,Neural Network,[ModernNCA (default)](https://arxiv.org/abs/2407.03257),1191.0,+81/-86,0.032,36.28,30.16,25.723,17.94,0.691,✔️,0.0,False,GPU
-46,🧠🔁,Neural Network,[RealMLP (default)](https://arxiv.org/abs/2407.04491),1140.0,+58/-74,0.0,39.33,36.8,26.313,19.2,7.624,✔️,0.0,False,GPU
-47,❓,Other,[xRFM (default)](https://arxiv.org/abs/2508.10053),1080.0,+112/-189,0.044,42.53,37.2,29.939,9.42,1.675,✔️,0.0,False,GPU
-48,🧠🔁,Neural Network,[TorchMLP (default)](https://arxiv.org/abs/2003.06505),1047.0,+74/-124,0.0,44.18,35.35,29.095,13.69,0.314,✔️,0.0,False,CPU
-49,📏,Baseline,[KNN (tuned + ensembled)](https://scikit-learn.org/stable/modules/neighbors.html),1003.0,+211/-360,0.049,46.14,24.32,39.617,151.69,2.346,✔️,0.0,False,CPU
-50,🌳,Tree-based,[RandomForest (default)](https://link.springer.com/article/10.1023/A:1010933404324),1000.0,+106/-177,0.0,46.29,42.86,35.933,0.74,0.137,✔️,0.0,False,CPU
-51,📏,Baseline,[Linear (tuned + ensembled)](https://scikit-learn.org/stable/modules/linear_model.html),976.0,+90/-212,0.0,47.28,45.35,40.422,892.95,0.818,✔️,0.0,False,CPU
-52,🧠🔁,Neural Network,[FastaiMLP (default)](https://arxiv.org/abs/2003.06505),948.0,+119/-183,0.0,48.36,46.26,34.868,8.51,0.734,✔️,0.0,False,CPU
-53,📏,Baseline,[Linear (tuned)](https://scikit-learn.org/stable/modules/linear_model.html),941.0,+81/-222,0.0,48.62,46.4,41.322,892.95,0.146,✔️,0.0,False,CPU
-54,🌳,Tree-based,[ExtraTrees (default)](https://link.springer.com/article/10.1007/s10994-006-6226-1),901.0,+131/-175,0.0,50.03,47.48,40.975,0.69,0.137,✔️,0.0,False,CPU
-55,🧠⚡,Foundation Model,[TabFlex (default)](https://arxiv.org/abs/2506.05584),854.0,+110/-162,0.0,51.5,51.12,39.903,5.05,1.013,➖,0.0,False,GPU
-56,📏,Baseline,[KNN (tuned)](https://scikit-learn.org/stable/modules/neighbors.html),838.0,+263/-528,0.046,51.95,39.75,49.851,151.69,0.258,✔️,0.0,False,CPU
-57,📏,Baseline,[Linear (default)](https://scikit-learn.org/stable/modules/linear_model.html),734.0,+80/-220,0.0,54.41,54.11,47.401,4.53,0.164,✔️,0.0,False,CPU
-58,📏,Baseline,[KNN (default)](https://scikit-learn.org/stable/modules/neighbors.html),188.0,+127/-646,0.0,58.77,58.76,70.666,0.52,0.076,✔️,0.0,False,CPU
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-#,Type,TypeName,Model,Elo [⬆️],Elo 95% CI,Score [⬆️],Rank [⬇️],Harmonic Rank [⬇️],Improvability (%) [⬇️],Median Train Time (s/1K) [⬇️],Median Predict Time (s/1K) [⬇️],Verified,Imputed (%) [⬇️],Imputed,Hardware
-0,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned + ensembled)](https://arxiv.org/abs/2511.08667),9356.0,+0/-0,1.0,1.11,1.06,0.019,133.98,8.253,✔️,0.0,False,GPU
-1,📊,Reference Pipeline,"[AutoGluon 1.4 (best, 4h)](https://arxiv.org/abs/2003.06505)",8889.0,+0/-0,0.935,2.56,2.2,1.7,276.87,4.662,✔️,0.0,False,CPU
-2,📊,Reference Pipeline,"[AutoGluon 1.4 (extreme, 4h)](https://arxiv.org/abs/2003.06505)",8788.0,+0/-0,0.928,3.0,2.84,1.878,276.86,3.44,✔️,0.0,False,GPU
-3,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned)](https://arxiv.org/abs/2511.08667),8709.0,+0/-0,0.906,3.33,3.0,2.424,133.98,2.816,✔️,0.0,False,GPU
-4,🌳,Tree-based,[RandomForest (tuned + ensembled)](https://link.springer.com/article/10.1023/A:1010933404324),6299.0,+0/-0,0.597,6.78,6.31,9.581,61.95,0.17,✔️,0.0,False,CPU
-5,🌳,Tree-based,[EBM (tuned + ensembled)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),6288.0,+0/-0,0.598,6.89,6.45,9.545,7606.4,0.826,✔️,0.0,False,CPU
-6,🌳,Tree-based,[LightGBM (tuned + ensembled)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),6240.0,+0/-0,0.576,7.33,7.13,10.011,157.72,3.649,✔️,0.0,False,CPU
-7,🌳,Tree-based,[EBM (tuned)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),6149.0,+0/-0,0.581,8.22,7.72,9.898,7606.4,0.048,✔️,0.0,False,CPU
-8,🌳,Tree-based,[RandomForest (tuned)](https://link.springer.com/article/10.1023/A:1010933404324),6106.0,+0/-0,0.581,8.67,7.91,9.921,61.95,0.016,✔️,0.0,False,CPU
-9,🌳,Tree-based,[LightGBM (tuned)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),6064.0,+0/-0,0.555,9.11,8.66,10.441,157.72,0.374,✔️,0.0,False,CPU
-10,🌳,Tree-based,[CatBoost (tuned)](https://arxiv.org/abs/1706.09516),5788.0,+0/-0,0.512,11.89,10.98,11.347,2688.02,0.24,✔️,0.0,False,CPU
-11,🌳,Tree-based,[XGBoost (tuned + ensembled)](https://arxiv.org/abs/1603.02754),5778.0,+0/-0,0.521,12.0,11.9,11.168,466.47,1.036,✔️,0.0,False,CPU
-12,🌳,Tree-based,[CatBoost (tuned + ensembled)](https://arxiv.org/abs/1706.09516),5680.0,+0/-0,0.503,13.0,12.51,11.536,2688.02,0.726,✔️,0.0,False,CPU
-13,🌳,Tree-based,[XGBoost (default)](https://arxiv.org/abs/1603.02754),5624.0,+0/-0,0.505,13.56,13.39,11.505,0.39,0.051,✔️,0.0,False,CPU
-14,🌳,Tree-based,[XGBoost (tuned)](https://arxiv.org/abs/1603.02754),5589.0,+0/-0,0.505,13.89,13.77,11.505,466.47,0.051,✔️,0.0,False,CPU
-15,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (default)](https://arxiv.org/abs/2511.08667),5256.0,+0/-0,0.403,17.0,16.0,13.544,1.48,0.53,✔️,0.0,False,GPU
-16,🌳,Tree-based,[CatBoost (default)](https://arxiv.org/abs/1706.09516),5218.0,+0/-0,0.427,17.33,17.24,13.063,7.54,0.047,✔️,0.0,False,CPU
-17,🧠🔁,Neural Network,[ModernNCA (tuned + ensembled)](https://arxiv.org/abs/2407.03257),5193.0,+0/-0,0.411,17.56,17.52,13.396,4423.24,29.2,✔️,0.0,False,GPU
-18,🌳,Tree-based,[EBM (default)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),5142.0,+0/-0,0.393,18.0,17.84,13.739,17.7,0.086,✔️,0.0,False,CPU
-19,🧠🔁,Neural Network,[ModernNCA (tuned)](https://arxiv.org/abs/2407.03257),4927.0,+0/-0,0.359,19.67,19.62,14.412,4423.24,2.237,✔️,0.0,False,GPU
-20,🧠⚡,Foundation Model,[TabICL (default)](https://arxiv.org/abs/2502.05564),4852.0,+0/-0,0.353,20.11,20.02,14.523,2.82,1.073,✔️,0.0,False,GPU
-21,🌳,Tree-based,[ExtraTrees (tuned + ensembled)](https://link.springer.com/article/10.1007/s10994-006-6226-1),3270.0,+0/-0,0.255,22.11,22.11,16.353,20.98,0.329,✔️,0.0,False,CPU
-22,🧠⚡,Foundation Model,[TabDPT (tuned + ensembled)](https://arxiv.org/abs/2410.18164),2605.0,+0/-0,0.138,24.22,24.17,18.457,4638.91,343.215,✔️,0.0,False,GPU
-23,🌳,Tree-based,[ExtraTrees (tuned)](https://link.springer.com/article/10.1007/s10994-006-6226-1),2547.0,+0/-0,0.119,24.56,24.51,18.777,20.98,0.027,✔️,0.0,False,CPU
-24,🧠🔁,Neural Network,[TorchMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),2547.0,+0/-0,0.121,24.56,24.47,18.732,2389.31,0.267,✔️,0.0,False,CPU
-25,🧠🔁,Neural Network,[TorchMLP (tuned)](https://arxiv.org/abs/2003.06505),2528.0,+0/-0,0.115,24.67,24.61,18.841,2389.31,0.023,✔️,0.0,False,CPU
-26,🧠🔁,Neural Network,[ModernNCA (default)](https://arxiv.org/abs/2407.03257),1766.0,+0/-0,0.007,27.44,27.43,20.674,14.87,1.855,✔️,0.0,False,GPU
-27,🧠🔁,Neural Network,[TabM (tuned + ensembled)](https://arxiv.org/abs/2410.24210),1584.0,+0/-0,0.0,28.33,28.3,20.901,1993.14,0.452,✔️,0.0,False,GPU
-28,🧠🔁,Neural Network,[TabM (tuned)](https://arxiv.org/abs/2410.24210),1400.0,+0/-0,0.0,29.44,29.37,21.65,1993.14,0.059,✔️,0.0,False,GPU
-29,🧠⚡,Foundation Model,[TabDPT (tuned)](https://arxiv.org/abs/2410.18164),1237.0,+0/-0,0.0,30.67,30.6,22.097,4638.91,43.781,✔️,0.0,False,GPU
-30,🧠⚡,Foundation Model,[TabDPT (default)](https://arxiv.org/abs/2410.18164),1195.0,+0/-0,0.0,31.0,30.87,22.475,40.54,38.741,✔️,0.0,False,GPU
-31,🧠⚡,Foundation Model,[SAP-RPT-OSS (default)](https://arxiv.org/abs/2506.10707),1126.0,+0/-0,0.0,31.56,31.48,22.424,9.87,9.237,➖,0.0,False,GPU
-32,🌳,Tree-based,[RandomForest (default)](https://link.springer.com/article/10.1023/A:1010933404324),1000.0,+0/-0,0.0,32.56,32.38,23.341,0.18,0.008,✔️,0.0,False,CPU
-33,🧠🔁,Neural Network,[RealMLP (tuned + ensembled)](https://arxiv.org/abs/2407.04491),828.0,+0/-0,0.0,33.78,33.75,23.568,1294.93,0.417,✔️,0.0,False,GPU
-34,🧠🔁,Neural Network,[RealMLP (tuned)](https://arxiv.org/abs/2407.04491),639.0,+0/-0,0.0,34.89,34.86,24.01,1294.93,0.06,✔️,0.0,False,GPU
-35,🌳,Tree-based,[LightGBM (default)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),572.0,+0/-0,0.0,35.22,35.18,24.919,0.18,0.04,✔️,0.0,False,CPU
-36,❓,Other,[xRFM (tuned + ensembled)](https://arxiv.org/abs/2508.10053),-247.0,+0/-0,0.0,37.11,37.11,28.274,1863.58,6.302,✔️,0.0,False,GPU
-37,❓,Other,[xRFM (tuned)](https://arxiv.org/abs/2508.10053),-746.0,+0/-0,0.0,38.56,38.54,30.79,1863.58,1.131,✔️,0.0,False,GPU
-38,🧠🔁,Neural Network,[TorchMLP (default)](https://arxiv.org/abs/2003.06505),-800.0,+0/-0,0.0,38.78,38.75,30.768,3.96,0.025,✔️,0.0,False,CPU
-39,🧠🔁,Neural Network,[TabM (default)](https://arxiv.org/abs/2410.24210),-1014.0,+0/-0,0.0,39.67,39.66,32.321,6.85,0.088,✔️,0.0,False,GPU
-40,🧠⚡,Foundation Model,[BetaTabPFN (default)](https://arxiv.org/abs/2502.02527),-1449.0,+0/-0,0.0,40.89,40.89,33.496,66.06,1.792,➖,0.0,False,GPU
-41,🧠🔁,Neural Network,[RealMLP (default)](https://arxiv.org/abs/2407.04491),-2053.0,+0/-0,0.0,42.0,42.0,37.017,7.55,0.149,✔️,0.0,False,GPU
-42,🧠🔁,Neural Network,[FastaiMLP (tuned)](https://arxiv.org/abs/2003.06505),-2631.0,+0/-0,0.0,43.11,43.11,41.044,569.0,0.17,✔️,0.0,False,CPU
-43,🧠🔁,Neural Network,[FastaiMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),-2953.0,+0/-0,0.0,43.89,43.89,41.644,569.0,1.658,✔️,0.0,False,CPU
-44,🌳,Tree-based,[ExtraTrees (default)](https://link.springer.com/article/10.1007/s10994-006-6226-1),-3647.0,+0/-0,0.0,45.11,45.11,50.207,0.07,0.015,✔️,0.0,False,CPU
-45,🧠🔁,Neural Network,[FastaiMLP (default)](https://arxiv.org/abs/2003.06505),-4085.0,+0/-0,0.0,46.22,46.21,51.289,2.86,0.085,✔️,0.0,False,CPU
-46,📏,Baseline,[Linear (tuned + ensembled)](https://scikit-learn.org/stable/modules/linear_model.html),-4259.0,+0/-0,0.0,46.78,46.77,51.687,30.41,0.089,✔️,0.0,False,CPU
-47,📏,Baseline,[Linear (tuned)](https://scikit-learn.org/stable/modules/linear_model.html),-4819.0,+0/-0,0.0,48.44,48.44,54.976,30.41,0.015,✔️,0.0,False,CPU
-48,📏,Baseline,[Linear (default)](https://scikit-learn.org/stable/modules/linear_model.html),-5018.0,+0/-0,0.0,49.33,49.32,55.365,0.13,0.014,✔️,0.0,False,CPU
-49,❓,Other,[xRFM (default)](https://arxiv.org/abs/2508.10053),-5107.0,+0/-0,0.0,49.78,49.72,55.242,3.09,0.997,✔️,0.0,False,GPU
-50,🧠⚡,Foundation Model,[TabFlex (default)](https://arxiv.org/abs/2506.05584),-5312.0,+0/-0,0.0,50.78,50.77,56.49,0.11,0.023,➖,0.0,False,GPU
-51,📏,Baseline,[KNN (tuned + ensembled)](https://scikit-learn.org/stable/modules/neighbors.html),-5506.0,+0/-0,0.0,51.56,51.54,57.332,76.27,3.054,✔️,0.0,False,CPU
-52,📏,Baseline,[KNN (tuned)](https://scikit-learn.org/stable/modules/neighbors.html),-6498.0,+0/-0,0.0,53.0,53.0,70.796,76.27,0.37,✔️,0.0,False,CPU
-53,📏,Baseline,[KNN (default)](https://scikit-learn.org/stable/modules/neighbors.html),-7417.0,+0/-0,0.0,54.0,54.0,82.671,0.14,0.136,✔️,0.0,False,CPU
diff --git a/data/imputation_yes/splits_all/tasks_multiclass/datasets_medium/winrate_matrix.png.zip b/data/imputation_yes/splits_all/tasks_multiclass/datasets_medium/winrate_matrix.png.zip
deleted file mode 100644
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-#,Type,TypeName,Model,Elo [⬆️],Elo 95% CI,Score [⬆️],Rank [⬇️],Harmonic Rank [⬇️],Improvability (%) [⬇️],Median Train Time (s/1K) [⬇️],Median Predict Time (s/1K) [⬇️],Verified,Imputed (%) [⬇️],Imputed,Hardware
-0,📊,Reference Pipeline,"[AutoGluon 1.4 (extreme, 4h)](https://arxiv.org/abs/2003.06505)",1737.0,+163/-62,0.81,8.0,5.25,11.398,1154.67,7.879,✔️,0.0,False,GPU
-1,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned)](https://arxiv.org/abs/2511.08667),1726.0,+208/-81,0.803,8.37,3.64,8.568,2742.37,1.218,✔️,0.0,False,GPU
-2,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned + ensembled)](https://arxiv.org/abs/2511.08667),1713.0,+247/-118,0.792,8.84,3.08,7.991,2742.37,7.945,✔️,0.0,False,GPU
-3,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (default)](https://arxiv.org/abs/2511.08667),1628.0,+301/-160,0.676,12.32,5.06,9.527,11.21,0.845,✔️,0.0,False,GPU
-4,🧠🔁,Neural Network,[RealMLP (tuned + ensembled)](https://arxiv.org/abs/2407.04491),1580.0,+182/-110,0.547,14.69,7.53,12.571,4471.59,21.354,✔️,0.0,False,GPU
-5,🧠🔁,Neural Network,[LimiX (default)](https://arxiv.org/abs/2509.03505),1577.0,+155/-93,0.523,14.83,5.71,11.668,6.22,1.092,➖,0.0,False,GPU
-6,🧠⚡,Foundation Model,[TabPFNv2 (tuned + ensembled) [14.29% IMPUTED]](https://www.nature.com/articles/s41586-024-08328-6),1567.0,+313/-214,0.667,15.35,5.41,16.809,2986.29,15.005,✔️,14.29,True,GPU
-7,🧠🔁,Neural Network,[RealMLP (tuned)](https://arxiv.org/abs/2407.04491),1551.0,+114/-60,0.49,16.21,9.84,13.674,4471.59,3.76,✔️,0.0,False,GPU
-8,🧠🔁,Neural Network,[Mitra (default) [14.29% IMPUTED]](https://arxiv.org/abs/2510.21204),1512.0,+227/-171,0.526,18.43,8.54,18.754,200.23,4.42,✔️,14.29,True,GPU
-9,🧠🔁,Neural Network,[TabM (tuned + ensembled)](https://arxiv.org/abs/2410.24210),1510.0,+151/-72,0.44,18.52,10.7,16.986,5929.46,1.73,✔️,0.0,False,GPU
-10,📊,Reference Pipeline,"[AutoGluon 1.4 (best, 4h)](https://arxiv.org/abs/2003.06505)",1505.0,+203/-85,0.354,18.86,8.55,16.862,6548.58,2.898,✔️,0.0,False,CPU
-11,🧠⚡,Foundation Model,[TabPFNv2 (tuned) [14.29% IMPUTED]](https://www.nature.com/articles/s41586-024-08328-6),1477.0,+211/-194,0.472,20.54,7.74,19.035,2986.29,0.63,✔️,14.29,True,GPU
-12,🧠🔁,Neural Network,[TabM (tuned)](https://arxiv.org/abs/2410.24210),1469.0,+140/-77,0.382,21.06,10.59,17.787,5929.46,0.337,✔️,0.0,False,GPU
-13,🧠⚡,Foundation Model,[TabDPT (tuned + ensembled)](https://arxiv.org/abs/2410.18164),1458.0,+185/-155,0.409,21.75,8.55,19.293,4631.38,190.647,✔️,0.0,False,GPU
-14,🧠⚡,Foundation Model,[TabPFNv2 (default) [14.29% IMPUTED]](https://www.nature.com/articles/s41586-024-08328-6),1457.0,+200/-164,0.393,21.78,11.76,17.78,7.26,0.403,✔️,14.29,True,GPU
-15,🌳,Tree-based,[CatBoost (tuned + ensembled)](https://arxiv.org/abs/1706.09516),1451.0,+83/-47,0.268,22.14,18.73,16.348,3272.91,1.185,✔️,0.0,False,CPU
-16,🌳,Tree-based,[LightGBM (tuned + ensembled)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1443.0,+160/-86,0.28,22.64,17.26,17.933,1502.45,6.33,✔️,0.0,False,CPU
-17,🌳,Tree-based,[LightGBM (tuned)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1437.0,+134/-73,0.251,23.07,18.05,18.134,1502.45,1.367,✔️,0.0,False,CPU
-18,🧠⚡,Foundation Model,[BetaTabPFN (default)](https://arxiv.org/abs/2502.02527),1423.0,+130/-108,0.307,23.93,18.02,18.785,684.78,4.816,➖,0.0,False,GPU
-19,🌳,Tree-based,[CatBoost (tuned)](https://arxiv.org/abs/1706.09516),1421.0,+69/-40,0.203,24.05,20.3,17.077,3272.91,0.21,✔️,0.0,False,CPU
-20,❓,Other,[xRFM (tuned + ensembled)](https://arxiv.org/abs/2508.10053),1418.0,+108/-136,0.286,24.27,15.89,19.106,2097.62,3.142,✔️,0.0,False,GPU
-21,🧠⚡,Foundation Model,[TabDPT (tuned)](https://arxiv.org/abs/2410.18164),1417.0,+197/-160,0.375,24.36,9.34,20.741,4631.38,30.351,✔️,0.0,False,GPU
-22,🧠🔁,Neural Network,[ModernNCA (tuned + ensembled)](https://arxiv.org/abs/2407.03257),1409.0,+125/-91,0.173,24.87,16.21,17.232,7359.32,9.026,✔️,0.0,False,GPU
-23,🌳,Tree-based,[XGBoost (tuned)](https://arxiv.org/abs/1603.02754),1405.0,+104/-68,0.197,25.13,19.98,18.407,2551.65,1.021,✔️,0.0,False,CPU
-24,🧠🔁,Neural Network,[ModernNCA (tuned)](https://arxiv.org/abs/2407.03257),1402.0,+80/-59,0.16,25.31,11.63,17.423,7359.32,0.596,✔️,0.0,False,GPU
-25,🧠⚡,Foundation Model,[SAP-RPT-OSS (default)](https://arxiv.org/abs/2506.10707),1396.0,+257/-217,0.452,25.7,5.38,17.111,22.56,1.484,➖,0.0,False,GPU
-26,🌳,Tree-based,[XGBoost (tuned + ensembled)](https://arxiv.org/abs/1603.02754),1394.0,+113/-66,0.184,25.83,20.48,18.58,2551.65,4.527,✔️,0.0,False,CPU
-27,🧠🔁,Neural Network,[TabM (default)](https://arxiv.org/abs/2410.24210),1387.0,+150/-109,0.277,26.29,16.54,19.638,19.65,0.236,✔️,0.0,False,GPU
-28,🧠⚡,Foundation Model,[TabICL (default) [14.29% IMPUTED]](https://arxiv.org/abs/2502.05564),1336.0,+195/-162,0.245,29.66,12.04,23.997,11.18,2.132,✔️,14.29,True,GPU
-29,🌳,Tree-based,[EBM (tuned + ensembled)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1335.0,+79/-82,0.133,29.71,25.54,20.763,63121.14,0.827,✔️,0.0,False,CPU
-30,🧠🔁,Neural Network,[FastaiMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1330.0,+210/-163,0.235,30.07,12.95,22.06,2775.63,12.592,✔️,0.0,False,CPU
-31,🌳,Tree-based,[ExtraTrees (tuned + ensembled)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1330.0,+190/-189,0.224,30.07,13.62,23.117,717.53,1.628,✔️,0.0,False,CPU
-32,🧠🔁,Neural Network,[TorchMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1325.0,+151/-117,0.102,30.35,22.27,21.26,4142.25,2.105,✔️,0.0,False,CPU
-33,🌳,Tree-based,[CatBoost (default)](https://arxiv.org/abs/1706.09516),1315.0,+89/-70,0.107,31.02,27.34,20.353,64.18,0.255,✔️,0.0,False,CPU
-34,❓,Other,[xRFM (tuned)](https://arxiv.org/abs/2508.10053),1313.0,+104/-119,0.178,31.16,17.08,21.391,2097.62,0.515,✔️,0.0,False,GPU
-35,🌳,Tree-based,[RandomForest (tuned + ensembled)](https://link.springer.com/article/10.1023/A:1010933404324),1297.0,+187/-213,0.231,32.17,13.78,23.34,755.05,2.155,✔️,0.0,False,CPU
-36,🧠⚡,Foundation Model,[TabDPT (default)](https://arxiv.org/abs/2410.18164),1296.0,+224/-200,0.25,32.26,8.56,23.915,46.25,45.74,✔️,0.0,False,GPU
-37,🌳,Tree-based,[EBM (tuned)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1289.0,+87/-91,0.085,32.71,27.31,21.602,63121.14,0.173,✔️,0.0,False,CPU
-38,🌳,Tree-based,[ExtraTrees (tuned)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1284.0,+191/-216,0.195,33.04,12.4,24.408,717.53,0.339,✔️,0.0,False,CPU
-39,🌳,Tree-based,[EBM (default)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1274.0,+146/-124,0.11,33.69,25.22,23.138,20.91,0.126,✔️,0.0,False,CPU
-40,🧠🔁,Neural Network,[FastaiMLP (tuned)](https://arxiv.org/abs/2003.06505),1270.0,+197/-152,0.112,33.9,18.0,23.392,2775.63,1.431,✔️,0.0,False,CPU
-41,🌳,Tree-based,[LightGBM (default)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1258.0,+166/-171,0.155,34.64,25.77,22.684,5.32,0.431,✔️,0.0,False,CPU
-42,🧠🔁,Neural Network,[TorchMLP (tuned)](https://arxiv.org/abs/2003.06505),1253.0,+120/-143,0.118,34.97,23.37,23.801,4142.25,0.287,✔️,0.0,False,CPU
-43,🌳,Tree-based,[RandomForest (tuned)](https://link.springer.com/article/10.1023/A:1010933404324),1244.0,+183/-228,0.167,35.57,11.12,24.867,755.05,0.317,✔️,0.0,False,CPU
-44,🌳,Tree-based,[XGBoost (default)](https://arxiv.org/abs/1603.02754),1225.0,+38/-46,0.0,36.69,35.04,22.283,5.48,0.599,✔️,0.0,False,CPU
-45,🧠🔁,Neural Network,[ModernNCA (default)](https://arxiv.org/abs/2407.03257),1211.0,+99/-88,0.025,37.54,30.59,26.444,20.96,0.482,✔️,0.0,False,GPU
-46,🧠🔁,Neural Network,[RealMLP (default)](https://arxiv.org/abs/2407.04491),1200.0,+50/-72,0.0,38.23,35.7,24.783,19.63,7.686,✔️,0.0,False,GPU
-47,❓,Other,[xRFM (default)](https://arxiv.org/abs/2508.10053),1154.0,+94/-159,0.05,40.79,35.57,26.325,10.84,2.189,✔️,0.0,False,GPU
-48,🧠🔁,Neural Network,[TorchMLP (default)](https://arxiv.org/abs/2003.06505),1087.0,+73/-144,0.0,44.24,34.4,28.857,14.75,0.337,✔️,0.0,False,CPU
-49,📏,Baseline,[KNN (tuned + ensembled)](https://scikit-learn.org/stable/modules/neighbors.html),1078.0,+204/-356,0.056,44.65,22.49,37.086,173.37,1.638,✔️,0.0,False,CPU
-50,📏,Baseline,[Linear (tuned + ensembled)](https://scikit-learn.org/stable/modules/linear_model.html),1034.0,+96/-197,0.0,46.63,44.56,38.813,905.14,0.875,✔️,0.0,False,CPU
-51,📏,Baseline,[Linear (tuned)](https://scikit-learn.org/stable/modules/linear_model.html),1003.0,+94/-216,0.0,47.93,45.54,39.372,905.14,0.175,✔️,0.0,False,CPU
-52,🧠🔁,Neural Network,[FastaiMLP (default)](https://arxiv.org/abs/2003.06505),1002.0,+147/-195,0.0,47.95,45.63,32.523,8.97,0.743,✔️,0.0,False,CPU
-53,🌳,Tree-based,[RandomForest (default)](https://link.springer.com/article/10.1023/A:1010933404324),1000.0,+121/-207,0.0,48.03,44.54,37.732,0.85,0.148,✔️,0.0,False,CPU
-54,🌳,Tree-based,[ExtraTrees (default)](https://link.springer.com/article/10.1007/s10994-006-6226-1),945.0,+142/-220,0.0,50.02,47.13,39.656,0.78,0.147,✔️,0.0,False,CPU
-55,🧠⚡,Foundation Model,[TabFlex (default)](https://arxiv.org/abs/2506.05584),918.0,+88/-168,0.0,50.89,50.52,37.533,5.83,1.167,➖,0.0,False,GPU
-56,📏,Baseline,[KNN (tuned)](https://scikit-learn.org/stable/modules/neighbors.html),912.0,+266/-546,0.052,51.09,38.04,46.859,173.37,0.147,✔️,0.0,False,CPU
-57,📏,Baseline,[Linear (default)](https://scikit-learn.org/stable/modules/linear_model.html),779.0,+87/-242,0.0,54.42,54.08,46.264,4.72,0.188,✔️,0.0,False,CPU
-58,📏,Baseline,[KNN (default)](https://scikit-learn.org/stable/modules/neighbors.html),261.0,+117/-619,0.0,58.74,58.72,68.951,0.57,0.067,✔️,0.0,False,CPU
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diff --git a/data/imputation_yes/splits_all/tasks_multiclass/datasets_tabpfn/website_leaderboard.csv b/data/imputation_yes/splits_all/tasks_multiclass/datasets_tabpfn/website_leaderboard.csv
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-#,Type,TypeName,Model,Elo [⬆️],Elo 95% CI,Score [⬆️],Rank [⬇️],Harmonic Rank [⬇️],Improvability (%) [⬇️],Median Train Time (s/1K) [⬇️],Median Predict Time (s/1K) [⬇️],Verified,Imputed (%) [⬇️],Imputed,Hardware
-0,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned + ensembled)](https://arxiv.org/abs/2511.08667),1854.0,+258/-94,0.853,6.4,2.7,9.067,2710.27,7.889,✔️,0.0,False,GPU
-1,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned)](https://arxiv.org/abs/2511.08667),1831.0,+239/-86,0.834,7.0,3.42,9.813,2710.27,1.076,✔️,0.0,False,GPU
-2,📊,Reference Pipeline,"[AutoGluon 1.4 (extreme, 4h)](https://arxiv.org/abs/2003.06505)",1815.0,+176/-79,0.82,7.46,4.91,13.168,1374.26,12.843,✔️,0.0,False,GPU
-3,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (default)](https://arxiv.org/abs/2511.08667),1780.0,+274/-128,0.788,8.54,4.44,10.383,10.23,0.844,✔️,0.0,False,GPU
-4,🧠⚡,Foundation Model,[TabPFNv2 (tuned + ensembled)](https://www.nature.com/articles/s41586-024-08328-6),1768.0,+293/-109,0.778,8.92,4.71,13.973,3585.96,32.815,✔️,0.0,False,GPU
-5,🧠🔁,Neural Network,[RealMLP (tuned + ensembled)](https://arxiv.org/abs/2407.04491),1689.0,+165/-40,0.638,11.83,6.68,14.217,4150.25,19.131,✔️,0.0,False,GPU
-6,🧠🔁,Neural Network,[LimiX (default)](https://arxiv.org/abs/2509.03505),1670.0,+167/-65,0.61,12.61,5.54,13.199,5.85,0.91,➖,0.0,False,GPU
-7,🧠🔁,Neural Network,[Mitra (default)](https://arxiv.org/abs/2510.21204),1660.0,+188/-104,0.613,13.01,7.5,16.287,205.23,4.488,✔️,0.0,False,GPU
-8,🧠⚡,Foundation Model,[TabPFNv2 (tuned)](https://www.nature.com/articles/s41586-024-08328-6),1617.0,+208/-103,0.551,14.97,6.78,16.57,3585.96,1.167,✔️,0.0,False,GPU
-9,🧠🔁,Neural Network,[RealMLP (tuned)](https://arxiv.org/abs/2407.04491),1613.0,+126/-44,0.539,15.14,9.34,15.614,4150.25,3.423,✔️,0.0,False,GPU
-10,🧠⚡,Foundation Model,[TabPFNv2 (default)](https://www.nature.com/articles/s41586-024-08328-6),1577.0,+200/-98,0.459,16.92,10.42,15.15,6.47,0.427,✔️,0.0,False,GPU
-11,📊,Reference Pipeline,"[AutoGluon 1.4 (best, 4h)](https://arxiv.org/abs/2003.06505)",1560.0,+264/-128,0.413,17.8,7.84,18.707,7307.18,4.205,✔️,0.0,False,CPU
-12,🧠🔁,Neural Network,[TabM (tuned + ensembled)](https://arxiv.org/abs/2410.24210),1535.0,+236/-106,0.404,19.09,10.39,19.65,5885.87,1.632,✔️,0.0,False,GPU
-13,🌳,Tree-based,[CatBoost (tuned + ensembled)](https://arxiv.org/abs/1706.09516),1499.0,+99/-40,0.29,21.05,17.75,18.709,3104.39,1.095,✔️,0.0,False,CPU
-14,🧠🔁,Neural Network,[TabM (tuned)](https://arxiv.org/abs/2410.24210),1484.0,+191/-110,0.339,21.88,10.31,20.579,5885.87,0.299,✔️,0.0,False,GPU
-15,🧠⚡,Foundation Model,[SAP-RPT-OSS (default)](https://arxiv.org/abs/2506.10707),1472.0,+432/-287,0.528,22.56,4.69,18.42,22.52,1.352,➖,0.0,False,GPU
-16,🧠⚡,Foundation Model,[TabDPT (tuned + ensembled)](https://arxiv.org/abs/2410.18164),1467.0,+218/-200,0.367,22.87,8.48,22.345,4513.63,201.505,✔️,0.0,False,GPU
-17,🧠🔁,Neural Network,[ModernNCA (tuned + ensembled)](https://arxiv.org/abs/2407.03257),1461.0,+122/-67,0.201,23.2,14.89,19.565,7367.31,7.816,✔️,0.0,False,GPU
-18,🌳,Tree-based,[CatBoost (tuned)](https://arxiv.org/abs/1706.09516),1456.0,+90/-49,0.205,23.49,19.54,19.58,3104.39,0.18,✔️,0.0,False,CPU
-19,🌳,Tree-based,[XGBoost (tuned)](https://arxiv.org/abs/1603.02754),1456.0,+134/-60,0.23,23.49,18.66,20.933,2210.02,1.236,✔️,0.0,False,CPU
-20,🌳,Tree-based,[LightGBM (tuned + ensembled)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1450.0,+210/-85,0.217,23.88,17.99,20.755,1377.29,6.652,✔️,0.0,False,CPU
-21,🌳,Tree-based,[XGBoost (tuned + ensembled)](https://arxiv.org/abs/1603.02754),1443.0,+142/-61,0.215,24.25,19.16,21.131,2210.02,7.723,✔️,0.0,False,CPU
-22,🌳,Tree-based,[LightGBM (tuned)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1439.0,+184/-68,0.186,24.5,19.44,20.984,1377.29,1.395,✔️,0.0,False,CPU
-23,🧠⚡,Foundation Model,[BetaTabPFN (default)](https://arxiv.org/abs/2502.02527),1421.0,+190/-125,0.239,25.55,19.86,21.77,696.38,4.428,➖,0.0,False,GPU
-24,🧠⚡,Foundation Model,[TabDPT (tuned)](https://arxiv.org/abs/2410.18164),1419.0,+226/-222,0.33,25.7,8.76,24.025,4513.63,26.967,✔️,0.0,False,GPU
-25,🧠⚡,Foundation Model,[TabICL (default)](https://arxiv.org/abs/2502.05564),1412.0,+227/-154,0.286,26.11,10.68,22.404,12.57,2.243,✔️,0.0,False,GPU
-26,🧠🔁,Neural Network,[TabM (default)](https://arxiv.org/abs/2410.24210),1408.0,+200/-143,0.265,26.33,15.63,22.627,17.83,0.197,✔️,0.0,False,GPU
-27,❓,Other,[xRFM (tuned + ensembled)](https://arxiv.org/abs/2508.10053),1401.0,+141/-150,0.192,26.76,21.89,22.196,1880.81,2.744,✔️,0.0,False,GPU
-28,🧠🔁,Neural Network,[ModernNCA (tuned)](https://arxiv.org/abs/2407.03257),1399.0,+85/-74,0.091,26.84,14.45,20.13,7367.31,0.587,✔️,0.0,False,GPU
-29,🧠🔁,Neural Network,[FastaiMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1370.0,+296/-274,0.274,28.56,11.66,24.902,2644.99,12.716,✔️,0.0,False,CPU
-30,🧠🔁,Neural Network,[TorchMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1335.0,+188/-163,0.119,30.67,21.95,24.38,4654.35,2.028,✔️,0.0,False,CPU
-31,🌳,Tree-based,[EBM (tuned + ensembled)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1331.0,+126/-102,0.074,30.94,26.31,23.99,36484.23,0.712,✔️,0.0,False,CPU
-32,🌳,Tree-based,[CatBoost (default)](https://arxiv.org/abs/1706.09516),1310.0,+123/-79,0.058,32.13,28.3,23.48,264.83,0.227,✔️,0.0,False,CPU
-33,🧠⚡,Foundation Model,[TabDPT (default)](https://arxiv.org/abs/2410.18164),1309.0,+329/-286,0.292,32.21,7.62,27.455,40.51,46.546,✔️,0.0,False,GPU
-34,❓,Other,[xRFM (tuned)](https://arxiv.org/abs/2508.10053),1280.0,+137/-143,0.088,33.89,28.16,24.812,1880.81,0.353,✔️,0.0,False,GPU
-35,🧠🔁,Neural Network,[FastaiMLP (tuned)](https://arxiv.org/abs/2003.06505),1279.0,+255/-249,0.131,33.96,18.43,26.421,2644.99,1.47,✔️,0.0,False,CPU
-36,🌳,Tree-based,[EBM (tuned)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1274.0,+101/-95,0.025,34.28,28.32,24.955,36484.23,0.127,✔️,0.0,False,CPU
-37,🌳,Tree-based,[ExtraTrees (tuned + ensembled)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1271.0,+173/-199,0.1,34.45,27.64,26.924,717.36,1.838,✔️,0.0,False,CPU
-38,🧠🔁,Neural Network,[ModernNCA (default)](https://arxiv.org/abs/2407.03257),1249.0,+115/-84,0.03,35.71,28.82,27.113,17.94,0.418,✔️,0.0,False,GPU
-39,🌳,Tree-based,[XGBoost (default)](https://arxiv.org/abs/1603.02754),1240.0,+62/-58,0.0,36.18,34.36,25.23,4.72,0.714,✔️,0.0,False,CPU
-40,🌳,Tree-based,[RandomForest (tuned + ensembled)](https://link.springer.com/article/10.1023/A:1010933404324),1233.0,+177/-242,0.11,36.61,23.48,27.18,737.91,2.289,✔️,0.0,False,CPU
-41,🧠🔁,Neural Network,[RealMLP (default)](https://arxiv.org/abs/2407.04491),1224.0,+66/-87,0.0,37.07,34.49,27.069,20.73,8.179,✔️,0.0,False,GPU
-42,🧠🔁,Neural Network,[TorchMLP (tuned)](https://arxiv.org/abs/2003.06505),1221.0,+172/-142,0.061,37.25,24.99,27.526,4654.35,0.223,✔️,0.0,False,CPU
-43,🌳,Tree-based,[EBM (default)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1216.0,+97/-83,0.0,37.55,35.3,26.871,14.75,0.108,✔️,0.0,False,CPU
-44,🌳,Tree-based,[ExtraTrees (tuned)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1206.0,+156/-215,0.061,38.05,30.01,28.442,717.36,0.326,✔️,0.0,False,CPU
-45,🌳,Tree-based,[LightGBM (default)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1198.0,+182/-146,0.054,38.47,35.02,26.339,5.04,0.449,✔️,0.0,False,CPU
-46,🌳,Tree-based,[RandomForest (tuned)](https://link.springer.com/article/10.1023/A:1010933404324),1156.0,+156/-228,0.028,40.7,28.24,28.978,737.91,0.316,✔️,0.0,False,CPU
-47,❓,Other,[xRFM (default)](https://arxiv.org/abs/2508.10053),1151.0,+171/-232,0.059,40.94,34.96,29.89,9.81,2.345,✔️,0.0,False,GPU
-48,📏,Baseline,[Linear (tuned + ensembled)](https://scikit-learn.org/stable/modules/linear_model.html),1064.0,+121/-249,0.0,44.99,43.05,37.281,892.95,0.895,✔️,0.0,False,CPU
-49,🧠🔁,Neural Network,[TorchMLP (default)](https://arxiv.org/abs/2003.06505),1061.0,+120/-198,0.0,45.11,33.8,32.806,13.69,0.314,✔️,0.0,False,CPU
-50,📏,Baseline,[Linear (tuned)](https://scikit-learn.org/stable/modules/linear_model.html),1027.0,+107/-286,0.0,46.51,44.12,37.933,892.95,0.146,✔️,0.0,False,CPU
-51,🌳,Tree-based,[RandomForest (default)](https://link.springer.com/article/10.1023/A:1010933404324),1000.0,+166/-304,0.0,47.55,43.63,38.428,0.74,0.137,✔️,0.0,False,CPU
-52,🧠🔁,Neural Network,[FastaiMLP (default)](https://arxiv.org/abs/2003.06505),983.0,+169/-237,0.0,48.16,45.47,34.887,8.51,0.828,✔️,0.0,False,CPU
-53,📏,Baseline,[KNN (tuned + ensembled)](https://scikit-learn.org/stable/modules/neighbors.html),957.0,+207/-446,0.0,49.08,42.18,43.003,151.69,1.252,✔️,0.0,False,CPU
-54,🌳,Tree-based,[ExtraTrees (default)](https://link.springer.com/article/10.1007/s10994-006-6226-1),935.0,+190/-378,0.0,49.76,46.49,40.494,0.69,0.137,✔️,0.0,False,CPU
-55,🧠⚡,Foundation Model,[TabFlex (default)](https://arxiv.org/abs/2506.05584),852.0,+29/-148,0.0,52.11,51.92,42.542,5.05,1.013,➖,0.0,False,GPU
-56,📏,Baseline,[Linear (default)](https://scikit-learn.org/stable/modules/linear_model.html),779.0,+98/-284,0.0,53.77,53.43,43.779,4.53,0.164,✔️,0.0,False,CPU
-57,📏,Baseline,[KNN (tuned)](https://scikit-learn.org/stable/modules/neighbors.html),595.0,+131/-452,0.0,56.43,56.03,54.395,151.69,0.099,✔️,0.0,False,CPU
-58,📏,Baseline,[KNN (default)](https://scikit-learn.org/stable/modules/neighbors.html),180.0,+144/-928,0.0,58.75,58.73,69.958,0.52,0.056,✔️,0.0,False,CPU
diff --git a/data/imputation_yes/splits_all/tasks_multiclass/datasets_tabpfn/winrate_matrix.png.zip b/data/imputation_yes/splits_all/tasks_multiclass/datasets_tabpfn/winrate_matrix.png.zip
deleted file mode 100644
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--- a/data/imputation_yes/splits_all/tasks_multiclass/datasets_tabpfn/winrate_matrix.png.zip
+++ /dev/null
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diff --git a/data/imputation_yes/splits_all/tasks_regression/datasets_all/n_datasets_13 b/data/imputation_yes/splits_all/tasks_regression/datasets_all/n_datasets_13
deleted file mode 100644
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diff --git a/data/imputation_yes/splits_all/tasks_regression/datasets_all/pareto_front_improvability_vs_time_infer.png.zip b/data/imputation_yes/splits_all/tasks_regression/datasets_all/pareto_front_improvability_vs_time_infer.png.zip
deleted file mode 100644
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diff --git a/data/imputation_yes/splits_all/tasks_regression/datasets_all/tuning-impact-elo.png.zip b/data/imputation_yes/splits_all/tasks_regression/datasets_all/tuning-impact-elo.png.zip
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diff --git a/data/imputation_yes/splits_all/tasks_regression/datasets_all/website_leaderboard.csv b/data/imputation_yes/splits_all/tasks_regression/datasets_all/website_leaderboard.csv
deleted file mode 100644
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--- a/data/imputation_yes/splits_all/tasks_regression/datasets_all/website_leaderboard.csv
+++ /dev/null
@@ -1,57 +0,0 @@
-#,Type,TypeName,Model,Elo [⬆️],Elo 95% CI,Score [⬆️],Rank [⬇️],Harmonic Rank [⬇️],Improvability (%) [⬇️],Median Train Time (s/1K) [⬇️],Median Predict Time (s/1K) [⬇️],Verified,Imputed (%) [⬇️],Imputed,Hardware
-0,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned + ensembled)](https://arxiv.org/abs/2511.08667),1769.0,+173/-123,0.803,6.77,2.67,1.552,1709.05,8.122,✔️,0.0,False,GPU
-1,🧠⚡,Foundation Model,[TabDPT (tuned + ensembled)](https://arxiv.org/abs/2410.18164),1733.0,+134/-75,0.787,7.8,2.77,2.463,4786.55,239.537,✔️,0.0,False,GPU
-2,📊,Reference Pipeline,"[AutoGluon 1.4 (extreme, 4h)](https://arxiv.org/abs/2003.06505)",1714.0,+112/-81,0.687,8.41,4.41,2.973,649.34,5.869,✔️,0.0,False,GPU
-3,🧠🔁,Neural Network,[RealMLP (tuned + ensembled)](https://arxiv.org/abs/2407.04491),1684.0,+102/-64,0.674,9.4,5.83,3.26,3995.01,10.051,✔️,0.0,False,GPU
-4,🧠⚡,Foundation Model,[TabDPT (tuned)](https://arxiv.org/abs/2410.18164),1682.0,+107/-62,0.725,9.44,4.62,2.914,4786.55,38.501,✔️,0.0,False,GPU
-5,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned)](https://arxiv.org/abs/2511.08667),1645.0,+165/-115,0.688,10.8,4.48,2.311,1709.05,0.812,✔️,0.0,False,GPU
-6,📊,Reference Pipeline,"[AutoGluon 1.4 (best, 4h)](https://arxiv.org/abs/2003.06505)",1623.0,+111/-90,0.548,11.64,6.68,4.705,1866.07,6.07,✔️,0.0,False,CPU
-7,🧠⚡,Foundation Model,[TabDPT (default)](https://arxiv.org/abs/2410.18164),1590.0,+126/-60,0.602,12.97,5.07,3.856,46.62,39.212,✔️,0.0,False,GPU
-8,🧠🔁,Neural Network,[RealMLP (tuned)](https://arxiv.org/abs/2407.04491),1566.0,+105/-74,0.505,14.02,8.49,4.241,3995.01,0.844,✔️,0.0,False,GPU
-9,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (default)](https://arxiv.org/abs/2511.08667),1560.0,+140/-107,0.559,14.28,7.98,3.824,7.04,0.508,✔️,0.0,False,GPU
-10,🧠🔁,Neural Network,[ModernNCA (tuned + ensembled)](https://arxiv.org/abs/2407.03257),1550.0,+133/-115,0.497,14.73,5.57,5.592,3779.52,7.69,✔️,0.0,False,GPU
-11,🌳,Tree-based,[CatBoost (tuned + ensembled)](https://arxiv.org/abs/1706.09516),1499.0,+100/-62,0.357,17.13,10.44,6.286,3552.96,0.966,✔️,0.0,False,CPU
-12,🌳,Tree-based,[LightGBM (tuned + ensembled)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1490.0,+91/-81,0.353,17.58,13.43,6.748,700.15,9.322,✔️,0.0,False,CPU
-13,❓,Other,[xRFM (tuned + ensembled)](https://arxiv.org/abs/2508.10053),1481.0,+107/-83,0.375,18.02,11.07,5.775,714.5,1.376,✔️,0.0,False,GPU
-14,🌳,Tree-based,[CatBoost (tuned)](https://arxiv.org/abs/1706.09516),1477.0,+103/-66,0.33,18.24,10.18,6.406,3552.96,0.105,✔️,0.0,False,CPU
-15,🧠🔁,Neural Network,[TabM (tuned + ensembled)](https://arxiv.org/abs/2410.24210),1463.0,+126/-91,0.347,18.94,13.85,5.178,4158.29,1.41,✔️,0.0,False,GPU
-16,🌳,Tree-based,[LightGBM (tuned)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1427.0,+90/-72,0.269,20.79,16.15,7.339,700.15,0.968,✔️,0.0,False,CPU
-17,🧠🔁,Neural Network,[LimiX (default)](https://arxiv.org/abs/2509.03505),1422.0,+182/-161,0.427,21.08,5.75,13.193,5.2,0.755,➖,0.0,False,GPU
-18,🌳,Tree-based,[XGBoost (tuned + ensembled)](https://arxiv.org/abs/1603.02754),1413.0,+62/-44,0.243,21.53,18.87,7.281,834.93,2.614,✔️,0.0,False,CPU
-19,❓,Other,[xRFM (tuned)](https://arxiv.org/abs/2508.10053),1400.0,+92/-78,0.267,22.23,17.93,6.451,714.5,0.099,✔️,0.0,False,GPU
-20,🌳,Tree-based,[XGBoost (tuned)](https://arxiv.org/abs/1603.02754),1393.0,+63/-52,0.213,22.57,19.35,7.429,834.93,0.388,✔️,0.0,False,CPU
-21,🧠🔁,Neural Network,[ModernNCA (tuned)](https://arxiv.org/abs/2407.03257),1387.0,+102/-87,0.279,22.9,13.56,7.59,3779.52,0.396,✔️,0.0,False,GPU
-22,🧠🔁,Neural Network,[TabM (tuned)](https://arxiv.org/abs/2410.24210),1381.0,+119/-99,0.246,23.17,16.02,6.134,4158.29,0.167,✔️,0.0,False,GPU
-23,🌳,Tree-based,[CatBoost (default)](https://arxiv.org/abs/1706.09516),1376.0,+89/-94,0.247,23.48,16.6,7.987,10.89,0.092,✔️,0.0,False,CPU
-24,🧠⚡,Foundation Model,[TabPFNv2 (tuned + ensembled) [46.15% IMPUTED]](https://www.nature.com/articles/s41586-024-08328-6),1332.0,+166/-107,0.316,25.86,9.17,6.96,4223.87,27.543,✔️,46.15,True,GPU
-25,🧠🔁,Neural Network,[TabM (default)](https://arxiv.org/abs/2410.24210),1289.0,+125/-113,0.154,28.23,22.38,7.851,13.32,0.131,✔️,0.0,False,GPU
-26,🧠🔁,Neural Network,[ModernNCA (default)](https://arxiv.org/abs/2407.03257),1287.0,+86/-75,0.143,28.33,22.27,9.129,15.5,0.299,✔️,0.0,False,GPU
-27,🧠🔁,Neural Network,[Mitra (default) [46.15% IMPUTED]](https://arxiv.org/abs/2510.21204),1279.0,+134/-102,0.193,28.8,10.32,8.634,71.01,1.848,✔️,46.15,True,GPU
-28,🧠⚡,Foundation Model,[SAP-RPT-OSS (default)](https://arxiv.org/abs/2506.10707),1276.0,+140/-133,0.22,28.95,12.98,9.16,20.22,6.621,➖,0.0,False,GPU
-29,🧠🔁,Neural Network,[TorchMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1257.0,+114/-103,0.112,30.0,20.66,9.342,4608.59,1.233,✔️,0.0,False,CPU
-30,🧠⚡,Foundation Model,[TabPFNv2 (tuned) [46.15% IMPUTED]](https://www.nature.com/articles/s41586-024-08328-6),1250.0,+140/-135,0.207,30.38,15.35,8.021,4223.87,0.452,✔️,46.15,True,GPU
-31,🧠🔁,Neural Network,[RealMLP (default)](https://arxiv.org/abs/2407.04491),1246.0,+115/-88,0.09,30.57,25.45,8.866,8.9,1.645,✔️,0.0,False,GPU
-32,🌳,Tree-based,[ExtraTrees (tuned + ensembled)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1225.0,+102/-100,0.098,31.72,23.65,11.679,158.22,0.844,✔️,0.0,False,CPU
-33,🌳,Tree-based,[LightGBM (default)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1218.0,+46/-46,0.01,32.05,30.5,9.77,2.11,0.275,✔️,0.0,False,CPU
-34,🧠⚡,Foundation Model,[TabPFNv2 (default) [46.15% IMPUTED]](https://www.nature.com/articles/s41586-024-08328-6),1202.0,+132/-133,0.151,32.87,20.46,9.421,2.8,0.313,✔️,46.15,True,GPU
-35,🧠🔁,Neural Network,[TorchMLP (tuned)](https://arxiv.org/abs/2003.06505),1197.0,+109/-104,0.075,33.16,24.77,10.133,4608.59,0.097,✔️,0.0,False,CPU
-36,🌳,Tree-based,[ExtraTrees (tuned)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1197.0,+91/-94,0.073,33.16,23.2,11.892,158.22,0.151,✔️,0.0,False,CPU
-37,🌳,Tree-based,[XGBoost (default)](https://arxiv.org/abs/1603.02754),1195.0,+81/-85,0.069,33.24,29.07,10.43,2.24,0.242,✔️,0.0,False,CPU
-38,🌳,Tree-based,[RandomForest (tuned + ensembled)](https://link.springer.com/article/10.1023/A:1010933404324),1170.0,+64/-71,0.029,34.55,32.11,12.449,515.73,0.771,✔️,0.0,False,CPU
-39,❓,Other,[xRFM (default)](https://arxiv.org/abs/2508.10053),1163.0,+116/-114,0.042,34.87,27.84,12.195,2.45,0.743,✔️,0.0,False,GPU
-40,🌳,Tree-based,[EBM (tuned + ensembled)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1155.0,+130/-158,0.106,35.31,26.02,12.927,2929.85,0.294,✔️,0.0,False,CPU
-41,🌳,Tree-based,[RandomForest (tuned)](https://link.springer.com/article/10.1023/A:1010933404324),1127.0,+68/-85,0.019,36.67,34.09,12.937,515.73,0.124,✔️,0.0,False,CPU
-42,🌳,Tree-based,[EBM (tuned)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1107.0,+127/-162,0.089,37.63,27.75,13.464,2929.85,0.03,✔️,0.0,False,CPU
-43,🌳,Tree-based,[ExtraTrees (default)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1076.0,+101/-121,0.004,39.11,34.96,13.83,0.47,0.055,✔️,0.0,False,CPU
-44,🌳,Tree-based,[EBM (default)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1043.0,+120/-182,0.048,40.52,34.24,14.4,8.47,0.035,✔️,0.0,False,CPU
-45,🧠🔁,Neural Network,[TorchMLP (default)](https://arxiv.org/abs/2003.06505),1039.0,+90/-113,0.003,40.71,38.23,13.563,20.48,0.08,✔️,0.0,False,CPU
-46,🧠🔁,Neural Network,[FastaiMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1038.0,+99/-116,0.023,40.74,37.61,13.808,540.06,2.672,✔️,0.0,False,CPU
-47,🌳,Tree-based,[RandomForest (default)](https://link.springer.com/article/10.1023/A:1010933404324),1000.0,+50/-79,0.0,42.27,40.99,14.452,0.53,0.062,✔️,0.0,False,CPU
-48,🧠🔁,Neural Network,[FastaiMLP (tuned)](https://arxiv.org/abs/2003.06505),982.0,+100/-110,0.013,42.95,40.71,14.294,540.06,0.325,✔️,0.0,False,CPU
-49,📏,Baseline,[KNN (tuned + ensembled)](https://scikit-learn.org/stable/modules/neighbors.html),893.0,+141/-174,0.0,45.96,40.1,19.621,92.55,0.897,✔️,0.0,False,CPU
-50,🧠🔁,Neural Network,[FastaiMLP (default)](https://arxiv.org/abs/2003.06505),858.0,+114/-172,0.0,46.98,45.75,18.555,2.6,0.392,✔️,0.0,False,CPU
-51,📏,Baseline,[KNN (tuned)](https://scikit-learn.org/stable/modules/neighbors.html),786.0,+146/-190,0.0,48.79,44.65,22.043,92.55,0.052,✔️,0.0,False,CPU
-52,📏,Baseline,[KNN (default)](https://scikit-learn.org/stable/modules/neighbors.html),660.0,+191/-308,0.0,51.21,43.22,29.222,0.19,0.04,✔️,0.0,False,CPU
-53,📏,Baseline,[Linear (tuned + ensembled)](https://scikit-learn.org/stable/modules/linear_model.html),484.0,+136/-305,0.0,53.38,53.21,36.434,193.95,0.173,✔️,0.0,False,CPU
-54,📏,Baseline,[Linear (tuned)](https://scikit-learn.org/stable/modules/linear_model.html),436.0,+157/-367,0.0,53.82,53.63,36.608,193.95,0.074,✔️,0.0,False,CPU
-55,📏,Baseline,[Linear (default)](https://scikit-learn.org/stable/modules/linear_model.html),218.0,+139/-368,0.0,55.31,55.29,39.041,0.95,0.097,✔️,0.0,False,CPU
diff --git a/data/imputation_yes/splits_all/tasks_regression/datasets_all/winrate_matrix.png.zip b/data/imputation_yes/splits_all/tasks_regression/datasets_all/winrate_matrix.png.zip
deleted file mode 100644
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--- a/data/imputation_yes/splits_all/tasks_regression/datasets_all/winrate_matrix.png.zip
+++ /dev/null
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deleted file mode 100644
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diff --git a/data/imputation_yes/splits_all/tasks_regression/datasets_medium/pareto_front_improvability_vs_time_infer.png.zip b/data/imputation_yes/splits_all/tasks_regression/datasets_medium/pareto_front_improvability_vs_time_infer.png.zip
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diff --git a/data/imputation_yes/splits_all/tasks_regression/datasets_medium/website_leaderboard.csv b/data/imputation_yes/splits_all/tasks_regression/datasets_medium/website_leaderboard.csv
deleted file mode 100644
index e1c802cedd223c5af92024526bfa387c2d5925ef..0000000000000000000000000000000000000000
--- a/data/imputation_yes/splits_all/tasks_regression/datasets_medium/website_leaderboard.csv
+++ /dev/null
@@ -1,53 +0,0 @@
-#,Type,TypeName,Model,Elo [⬆️],Elo 95% CI,Score [⬆️],Rank [⬇️],Harmonic Rank [⬇️],Improvability (%) [⬇️],Median Train Time (s/1K) [⬇️],Median Predict Time (s/1K) [⬇️],Verified,Imputed (%) [⬇️],Imputed,Hardware
-0,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned + ensembled)](https://arxiv.org/abs/2511.08667),2047.0,+764/-106,0.863,4.4,2.67,1.209,735.58,9.557,✔️,0.0,False,GPU
-1,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned)](https://arxiv.org/abs/2511.08667),1950.0,+666/-113,0.804,6.31,4.21,1.696,735.58,0.714,✔️,0.0,False,GPU
-2,🧠🔁,Neural Network,[ModernNCA (tuned + ensembled)](https://arxiv.org/abs/2407.03257),1901.0,+626/-36,0.714,7.47,5.68,2.304,2526.28,3.717,✔️,0.0,False,GPU
-3,🧠⚡,Foundation Model,[TabDPT (tuned + ensembled)](https://arxiv.org/abs/2410.18164),1896.0,+870/-123,0.784,7.6,2.16,1.293,4786.55,361.217,✔️,0.0,False,GPU
-4,📊,Reference Pipeline,"[AutoGluon 1.4 (best, 4h)](https://arxiv.org/abs/2003.06505)",1884.0,+405/-19,0.661,7.91,4.94,3.331,473.01,8.73,✔️,0.0,False,CPU
-5,🧠🔁,Neural Network,[RealMLP (tuned + ensembled)](https://arxiv.org/abs/2407.04491),1878.0,+626/-101,0.69,8.04,5.61,2.7,2028.29,1.675,✔️,0.0,False,GPU
-6,📊,Reference Pipeline,"[AutoGluon 1.4 (extreme, 4h)](https://arxiv.org/abs/2003.06505)",1856.0,+413/-22,0.644,8.64,4.37,3.488,430.4,7.174,✔️,0.0,False,GPU
-7,🧠⚡,Foundation Model,[TabDPT (tuned)](https://arxiv.org/abs/2410.18164),1827.0,+835/-112,0.72,9.49,4.23,1.707,4786.55,41.599,✔️,0.0,False,GPU
-8,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (default)](https://arxiv.org/abs/2511.08667),1781.0,+682/-204,0.563,10.87,7.04,2.636,1.6,0.508,✔️,0.0,False,GPU
-9,🧠⚡,Foundation Model,[TabDPT (default)](https://arxiv.org/abs/2410.18164),1728.0,+756/-126,0.596,12.6,4.97,2.355,45.77,39.212,✔️,0.0,False,GPU
-10,🧠🔁,Neural Network,[RealMLP (tuned)](https://arxiv.org/abs/2407.04491),1702.0,+631/-121,0.537,13.47,8.53,3.741,2028.29,0.081,✔️,0.0,False,GPU
-11,❓,Other,[xRFM (tuned + ensembled)](https://arxiv.org/abs/2508.10053),1660.0,+414/-86,0.477,14.91,9.51,4.288,425.61,0.615,✔️,0.0,False,GPU
-12,🌳,Tree-based,[LightGBM (tuned + ensembled)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1647.0,+417/-129,0.388,15.38,11.27,5.936,222.05,11.236,✔️,0.0,False,CPU
-13,🌳,Tree-based,[CatBoost (tuned + ensembled)](https://arxiv.org/abs/1706.09516),1626.0,+343/-86,0.356,16.13,8.87,6.099,1658.41,0.742,✔️,0.0,False,CPU
-14,🧠🔁,Neural Network,[ModernNCA (tuned)](https://arxiv.org/abs/2407.03257),1602.0,+520/-127,0.446,17.0,13.53,4.108,2526.28,0.166,✔️,0.0,False,GPU
-15,🌳,Tree-based,[CatBoost (tuned)](https://arxiv.org/abs/1706.09516),1595.0,+380/-166,0.35,17.24,7.29,6.197,1658.41,0.059,✔️,0.0,False,CPU
-16,🌳,Tree-based,[LightGBM (tuned)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1594.0,+350/-124,0.327,17.29,13.7,6.24,222.05,0.968,✔️,0.0,False,CPU
-17,🧠🔁,Neural Network,[TabM (tuned + ensembled)](https://arxiv.org/abs/2410.24210),1580.0,+488/-198,0.341,17.82,14.46,5.117,3440.87,0.619,✔️,0.0,False,GPU
-18,❓,Other,[xRFM (tuned)](https://arxiv.org/abs/2508.10053),1533.0,+333/-88,0.3,19.6,17.39,5.243,425.61,0.04,✔️,0.0,False,GPU
-19,🧠🔁,Neural Network,[LimiX (default)](https://arxiv.org/abs/2509.03505),1529.0,+582/-198,0.312,19.76,5.04,4.564,2.06,0.755,➖,0.0,False,GPU
-20,🌳,Tree-based,[CatBoost (default)](https://arxiv.org/abs/1706.09516),1507.0,+389/-310,0.326,20.6,14.61,6.882,5.49,0.037,✔️,0.0,False,CPU
-21,🧠🔁,Neural Network,[TabM (tuned)](https://arxiv.org/abs/2410.24210),1506.0,+419/-165,0.24,20.64,18.61,5.96,3440.87,0.052,✔️,0.0,False,GPU
-22,🌳,Tree-based,[XGBoost (tuned + ensembled)](https://arxiv.org/abs/1603.02754),1488.0,+296/-123,0.218,21.29,19.54,6.83,282.13,1.74,✔️,0.0,False,CPU
-23,🧠🔁,Neural Network,[ModernNCA (default)](https://arxiv.org/abs/2407.03257),1488.0,+498/-141,0.29,21.31,18.73,5.272,6.88,0.094,✔️,0.0,False,GPU
-24,🌳,Tree-based,[XGBoost (tuned)](https://arxiv.org/abs/1603.02754),1477.0,+282/-127,0.2,21.71,19.41,6.953,282.13,0.388,✔️,0.0,False,CPU
-25,🌳,Tree-based,[XGBoost (default)](https://arxiv.org/abs/1603.02754),1340.0,+331/-237,0.161,26.8,22.15,8.067,0.6,0.08,✔️,0.0,False,CPU
-26,🧠🔁,Neural Network,[TabM (default)](https://arxiv.org/abs/2410.24210),1316.0,+308/-192,0.09,27.69,25.31,7.827,5.03,0.025,✔️,0.0,False,GPU
-27,❓,Other,[xRFM (default)](https://arxiv.org/abs/2508.10053),1294.0,+235/-101,0.011,28.53,27.45,8.79,2.28,0.13,✔️,0.0,False,GPU
-28,🧠🔁,Neural Network,[TorchMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1289.0,+216/-86,0.061,28.69,27.06,8.242,4348.61,0.528,✔️,0.0,False,CPU
-29,🌳,Tree-based,[LightGBM (default)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1280.0,+286/-140,0.013,29.02,28.13,8.309,0.55,0.233,✔️,0.0,False,CPU
-30,🧠🔁,Neural Network,[TorchMLP (tuned)](https://arxiv.org/abs/2003.06505),1212.0,+206/-194,0.038,31.44,29.68,9.231,4348.61,0.034,✔️,0.0,False,CPU
-31,🧠🔁,Neural Network,[RealMLP (default)](https://arxiv.org/abs/2407.04491),1189.0,+234/-185,0.001,32.24,31.03,9.7,6.75,0.235,✔️,0.0,False,GPU
-32,🌳,Tree-based,[ExtraTrees (tuned + ensembled)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1172.0,+372/-356,0.022,32.84,30.78,10.264,35.67,0.529,✔️,0.0,False,CPU
-33,🌳,Tree-based,[RandomForest (tuned + ensembled)](https://link.springer.com/article/10.1023/A:1010933404324),1153.0,+93/-122,0.0,33.49,33.19,9.993,79.08,0.546,✔️,0.0,False,CPU
-34,🌳,Tree-based,[ExtraTrees (tuned)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1141.0,+280/-307,0.007,33.87,32.55,10.361,35.67,0.05,✔️,0.0,False,CPU
-35,🧠⚡,Foundation Model,[SAP-RPT-OSS (default)](https://arxiv.org/abs/2506.10707),1140.0,+414/-404,0.117,33.91,25.88,9.879,8.79,7.637,➖,0.0,False,GPU
-36,🌳,Tree-based,[RandomForest (tuned)](https://link.springer.com/article/10.1023/A:1010933404324),1126.0,+116/-182,0.0,34.38,33.98,10.297,79.08,0.057,✔️,0.0,False,CPU
-37,🌳,Tree-based,[EBM (tuned + ensembled)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1086.0,+378/-683,0.145,35.67,30.41,13.832,2044.56,0.128,✔️,0.0,False,CPU
-38,🧠🔁,Neural Network,[TorchMLP (default)](https://arxiv.org/abs/2003.06505),1032.0,+193/-356,0.001,37.31,35.66,13.252,15.08,0.028,✔️,0.0,False,CPU
-39,🌳,Tree-based,[ExtraTrees (default)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1018.0,+370/-475,0.007,37.71,35.47,12.06,0.17,0.049,✔️,0.0,False,CPU
-40,🌳,Tree-based,[EBM (tuned)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1015.0,+356/-736,0.117,37.82,34.06,14.402,2044.56,0.01,✔️,0.0,False,CPU
-41,🌳,Tree-based,[RandomForest (default)](https://link.springer.com/article/10.1023/A:1010933404324),1000.0,+53/-251,0.0,38.24,38.08,11.446,0.43,0.053,✔️,0.0,False,CPU
-42,🌳,Tree-based,[EBM (default)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),963.0,+363/-777,0.106,39.27,35.64,15.083,3.66,0.011,✔️,0.0,False,CPU
-43,🧠🔁,Neural Network,[FastaiMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),841.0,+67/-394,0.0,42.22,41.93,14.323,318.98,0.827,✔️,0.0,False,CPU
-44,🧠🔁,Neural Network,[FastaiMLP (tuned)](https://arxiv.org/abs/2003.06505),786.0,+61/-473,0.0,43.31,43.1,14.781,318.98,0.114,✔️,0.0,False,CPU
-45,📏,Baseline,[KNN (tuned + ensembled)](https://scikit-learn.org/stable/modules/neighbors.html),785.0,+97/-596,0.0,43.33,43.12,18.087,142.58,1.184,✔️,0.0,False,CPU
-46,📏,Baseline,[KNN (tuned)](https://scikit-learn.org/stable/modules/neighbors.html),651.0,+66/-607,0.0,45.53,45.43,20.643,142.58,0.064,✔️,0.0,False,CPU
-47,🧠🔁,Neural Network,[FastaiMLP (default)](https://arxiv.org/abs/2003.06505),602.0,+108/-646,0.0,46.18,45.96,18.384,1.36,0.111,✔️,0.0,False,CPU
-48,📏,Baseline,[KNN (default)](https://scikit-learn.org/stable/modules/neighbors.html),338.0,+94/-1186,0.0,48.51,48.42,28.1,0.06,0.034,✔️,0.0,False,CPU
-49,📏,Baseline,[Linear (tuned + ensembled)](https://scikit-learn.org/stable/modules/linear_model.html),70.0,+111/-1680,0.0,49.92,49.92,39.828,44.3,0.048,✔️,0.0,False,CPU
-50,📏,Baseline,[Linear (tuned)](https://scikit-learn.org/stable/modules/linear_model.html),-125.0,+167/-2054,0.0,50.77,50.76,40.21,44.3,0.011,✔️,0.0,False,CPU
-51,📏,Baseline,[Linear (default)](https://scikit-learn.org/stable/modules/linear_model.html),-424.0,+210/-2019,0.0,51.8,51.8,43.378,0.13,0.018,✔️,0.0,False,CPU
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-#,Type,TypeName,Model,Elo [⬆️],Elo 95% CI,Score [⬆️],Rank [⬇️],Harmonic Rank [⬇️],Improvability (%) [⬇️],Median Train Time (s/1K) [⬇️],Median Predict Time (s/1K) [⬇️],Verified,Imputed (%) [⬇️],Imputed,Hardware
-0,🧠⚡,Foundation Model,[TabDPT (tuned + ensembled)](https://arxiv.org/abs/2410.18164),1728.0,+140/-56,0.775,7.93,3.37,3.194,4822.0,140.81,✔️,0.0,False,GPU
-1,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned + ensembled)](https://arxiv.org/abs/2511.08667),1717.0,+270/-132,0.761,8.26,2.67,1.767,2306.87,7.231,✔️,0.0,False,GPU
-2,📊,Reference Pipeline,"[AutoGluon 1.4 (extreme, 4h)](https://arxiv.org/abs/2003.06505)",1717.0,+210/-85,0.703,8.26,4.45,2.652,709.58,5.864,✔️,0.0,False,GPU
-3,🧠⚡,Foundation Model,[TabDPT (tuned)](https://arxiv.org/abs/2410.18164),1684.0,+107/-44,0.711,9.41,4.91,3.668,4822.0,22.324,✔️,0.0,False,GPU
-4,🧠🔁,Neural Network,[RealMLP (tuned + ensembled)](https://arxiv.org/abs/2407.04491),1661.0,+122/-49,0.652,10.24,5.98,3.611,4558.61,33.853,✔️,0.0,False,GPU
-5,🧠⚡,Foundation Model,[TabDPT (default)](https://arxiv.org/abs/2410.18164),1590.0,+114/-50,0.578,13.2,5.14,4.794,48.13,42.001,✔️,0.0,False,GPU
-6,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned)](https://arxiv.org/abs/2511.08667),1581.0,+222/-130,0.608,13.6,4.66,2.696,2306.87,0.902,✔️,0.0,False,GPU
-7,📊,Reference Pipeline,"[AutoGluon 1.4 (best, 4h)](https://arxiv.org/abs/2003.06505)",1573.0,+133/-73,0.467,13.96,8.58,5.563,5805.42,4.31,✔️,0.0,False,CPU
-8,🧠🔁,Neural Network,[RealMLP (tuned)](https://arxiv.org/abs/2407.04491),1564.0,+117/-72,0.469,14.37,8.46,4.554,4558.61,2.234,✔️,0.0,False,GPU
-9,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (default)](https://arxiv.org/abs/2511.08667),1522.0,+208/-141,0.53,16.41,8.71,4.566,7.67,0.547,✔️,0.0,False,GPU
-10,🧠⚡,Foundation Model,[TabPFNv2 (tuned + ensembled) [12.50% IMPUTED]](https://www.nature.com/articles/s41586-024-08328-6),1513.0,+250/-173,0.514,16.85,6.19,4.156,6559.81,56.314,✔️,12.5,True,GPU
-11,🌳,Tree-based,[CatBoost (tuned + ensembled)](https://arxiv.org/abs/1706.09516),1496.0,+125/-63,0.336,17.75,11.75,6.404,4430.73,1.103,✔️,0.0,False,CPU
-12,🌳,Tree-based,[CatBoost (tuned)](https://arxiv.org/abs/1706.09516),1475.0,+124/-64,0.298,18.86,13.54,6.537,4430.73,0.179,✔️,0.0,False,CPU
-13,🌳,Tree-based,[LightGBM (tuned + ensembled)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1473.0,+123/-74,0.311,18.96,15.26,7.255,1203.24,7.106,✔️,0.0,False,CPU
-14,🧠🔁,Neural Network,[ModernNCA (tuned + ensembled)](https://arxiv.org/abs/2407.03257),1467.0,+179/-93,0.353,19.27,5.5,7.648,8977.36,8.017,✔️,0.0,False,GPU
-15,🧠🔁,Neural Network,[TabM (tuned + ensembled)](https://arxiv.org/abs/2410.24210),1460.0,+186/-97,0.336,19.64,13.49,5.216,4438.37,1.981,✔️,0.0,False,GPU
-16,❓,Other,[xRFM (tuned + ensembled)](https://arxiv.org/abs/2508.10053),1454.0,+116/-87,0.288,19.96,12.32,6.705,2039.04,2.144,✔️,0.0,False,GPU
-17,🧠🔁,Neural Network,[Mitra (default) [12.50% IMPUTED]](https://arxiv.org/abs/2510.21204),1423.0,+169/-123,0.313,21.67,7.05,6.876,93.39,2.396,✔️,12.5,True,GPU
-18,🌳,Tree-based,[XGBoost (tuned + ensembled)](https://arxiv.org/abs/1603.02754),1423.0,+93/-44,0.228,21.68,18.47,7.563,1265.82,3.15,✔️,0.0,False,CPU
-19,🧠🔁,Neural Network,[LimiX (default)](https://arxiv.org/abs/2509.03505),1419.0,+276/-229,0.472,21.9,6.29,18.586,6.44,0.709,➖,0.0,False,GPU
-20,🌳,Tree-based,[LightGBM (tuned)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1400.0,+110/-79,0.209,22.98,18.17,8.027,1203.24,0.956,✔️,0.0,False,CPU
-21,🌳,Tree-based,[XGBoost (tuned)](https://arxiv.org/abs/1603.02754),1397.0,+87/-45,0.191,23.11,19.31,7.727,1265.82,0.476,✔️,0.0,False,CPU
-22,❓,Other,[xRFM (tuned)](https://arxiv.org/abs/2508.10053),1384.0,+125/-76,0.213,23.87,18.28,7.205,2039.04,0.109,✔️,0.0,False,GPU
-23,🧠⚡,Foundation Model,[TabPFNv2 (tuned) [12.50% IMPUTED]](https://www.nature.com/articles/s41586-024-08328-6),1378.0,+255/-182,0.337,24.19,11.08,5.881,6559.81,0.485,✔️,12.5,True,GPU
-24,🧠⚡,Foundation Model,[SAP-RPT-OSS (default)](https://arxiv.org/abs/2506.10707),1375.0,+146/-152,0.281,24.4,9.83,8.711,22.46,1.039,➖,0.0,False,GPU
-25,🧠🔁,Neural Network,[TabM (tuned)](https://arxiv.org/abs/2410.24210),1368.0,+174/-116,0.232,24.76,14.74,6.243,4438.37,0.231,✔️,0.0,False,GPU
-26,🌳,Tree-based,[CatBoost (default)](https://arxiv.org/abs/1706.09516),1359.0,+139/-85,0.18,25.29,18.14,8.677,12.31,0.204,✔️,0.0,False,CPU
-27,🧠🔁,Neural Network,[ModernNCA (tuned)](https://arxiv.org/abs/2407.03257),1338.0,+166/-99,0.154,26.53,13.56,9.766,8977.36,0.421,✔️,0.0,False,GPU
-28,🧠⚡,Foundation Model,[TabPFNv2 (default) [12.50% IMPUTED]](https://www.nature.com/articles/s41586-024-08328-6),1308.0,+226/-218,0.245,28.28,15.67,8.156,8.74,0.773,✔️,12.5,True,GPU
-29,🧠🔁,Neural Network,[TabM (default)](https://arxiv.org/abs/2410.24210),1305.0,+169/-124,0.179,28.45,20.83,7.866,22.14,0.179,✔️,0.0,False,GPU
-30,🧠🔁,Neural Network,[RealMLP (default)](https://arxiv.org/abs/2407.04491),1297.0,+136/-106,0.133,28.92,22.71,8.344,21.51,8.356,✔️,0.0,False,GPU
-31,🧠🔁,Neural Network,[TorchMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1270.0,+151/-171,0.135,30.43,17.91,10.029,5150.31,1.592,✔️,0.0,False,CPU
-32,🌳,Tree-based,[ExtraTrees (tuned + ensembled)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1269.0,+110/-148,0.143,30.51,20.55,12.564,664.2,1.363,✔️,0.0,False,CPU
-33,🌳,Tree-based,[ExtraTrees (tuned)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1239.0,+109/-139,0.112,32.17,19.55,12.848,664.2,0.274,✔️,0.0,False,CPU
-34,🧠🔁,Neural Network,[ModernNCA (default)](https://arxiv.org/abs/2407.03257),1231.0,+77/-79,0.017,32.6,25.2,11.539,26.36,0.302,✔️,0.0,False,GPU
-35,🧠🔁,Neural Network,[TorchMLP (tuned)](https://arxiv.org/abs/2003.06505),1214.0,+148/-158,0.094,33.51,22.23,10.697,5150.31,0.136,✔️,0.0,False,CPU
-36,🌳,Tree-based,[EBM (tuned + ensembled)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1213.0,+173/-163,0.075,33.58,23.46,12.362,4333.58,0.422,✔️,0.0,False,CPU
-37,🌳,Tree-based,[LightGBM (default)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1206.0,+60/-46,0.001,33.94,32.19,10.683,4.3,0.318,✔️,0.0,False,CPU
-38,🌳,Tree-based,[RandomForest (tuned + ensembled)](https://link.springer.com/article/10.1023/A:1010933404324),1184.0,+94/-138,0.047,35.16,31.43,13.984,675.17,1.541,✔️,0.0,False,CPU
-39,🌳,Tree-based,[EBM (tuned)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1170.0,+176/-170,0.061,35.85,24.38,12.878,4333.58,0.037,✔️,0.0,False,CPU
-40,🌳,Tree-based,[XGBoost (default)](https://arxiv.org/abs/1603.02754),1142.0,+52/-62,0.0,37.27,36.13,11.907,4.06,0.299,✔️,0.0,False,CPU
-41,🌳,Tree-based,[RandomForest (tuned)](https://link.springer.com/article/10.1023/A:1010933404324),1140.0,+84/-138,0.032,37.39,33.58,14.587,675.17,0.206,✔️,0.0,False,CPU
-42,🧠🔁,Neural Network,[FastaiMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1135.0,+108/-138,0.037,37.65,34.03,13.486,2214.9,7.795,✔️,0.0,False,CPU
-43,❓,Other,[xRFM (default)](https://arxiv.org/abs/2508.10053),1112.0,+152/-222,0.046,38.72,28.03,14.324,10.2,2.718,✔️,0.0,False,GPU
-44,🌳,Tree-based,[ExtraTrees (default)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1109.0,+93/-172,0.001,38.87,34.05,14.936,0.5,0.116,✔️,0.0,False,CPU
-45,🌳,Tree-based,[EBM (default)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1093.0,+146/-167,0.0,39.63,32.6,13.973,16.01,0.041,✔️,0.0,False,CPU
-46,🧠🔁,Neural Network,[FastaiMLP (tuned)](https://arxiv.org/abs/2003.06505),1076.0,+106/-144,0.021,40.39,37.67,13.99,2214.9,0.838,✔️,0.0,False,CPU
-47,🧠🔁,Neural Network,[TorchMLP (default)](https://arxiv.org/abs/2003.06505),1049.0,+115/-148,0.0,41.56,39.03,13.757,22.39,0.134,✔️,0.0,False,CPU
-48,🌳,Tree-based,[RandomForest (default)](https://link.springer.com/article/10.1023/A:1010933404324),1000.0,+84/-154,0.0,43.55,41.58,16.331,0.63,0.12,✔️,0.0,False,CPU
-49,🧠🔁,Neural Network,[FastaiMLP (default)](https://arxiv.org/abs/2003.06505),959.0,+111/-175,0.0,45.04,43.52,18.662,6.97,0.818,✔️,0.0,False,CPU
-50,📏,Baseline,[KNN (tuned + ensembled)](https://scikit-learn.org/stable/modules/neighbors.html),953.0,+157/-379,0.0,45.27,36.81,20.58,88.43,0.512,✔️,0.0,False,CPU
-51,📏,Baseline,[KNN (tuned)](https://scikit-learn.org/stable/modules/neighbors.html),851.0,+156/-381,0.0,48.33,42.1,22.918,88.43,0.051,✔️,0.0,False,CPU
-52,📏,Baseline,[KNN (default)](https://scikit-learn.org/stable/modules/neighbors.html),760.0,+178/-556,0.0,50.4,38.95,29.924,0.42,0.047,✔️,0.0,False,CPU
-53,📏,Baseline,[Linear (tuned + ensembled)](https://scikit-learn.org/stable/modules/linear_model.html),592.0,+116/-411,0.0,53.04,52.78,34.313,777.57,0.312,✔️,0.0,False,CPU
-54,📏,Baseline,[Linear (tuned)](https://scikit-learn.org/stable/modules/linear_model.html),577.0,+127/-431,0.0,53.22,52.94,34.357,777.57,0.108,✔️,0.0,False,CPU
-55,📏,Baseline,[Linear (default)](https://scikit-learn.org/stable/modules/linear_model.html),394.0,+81/-396,0.0,55.0,54.97,36.331,3.91,0.126,✔️,0.0,False,CPU
diff --git a/data/imputation_yes/splits_all/tasks_regression/datasets_small/winrate_matrix.png.zip b/data/imputation_yes/splits_all/tasks_regression/datasets_small/winrate_matrix.png.zip
deleted file mode 100644
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diff --git a/data/imputation_yes/splits_all/tasks_regression/datasets_tabpfn/pareto_front_improvability_vs_time_infer.png.zip b/data/imputation_yes/splits_all/tasks_regression/datasets_tabpfn/pareto_front_improvability_vs_time_infer.png.zip
deleted file mode 100644
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-#,Type,TypeName,Model,Elo [⬆️],Elo 95% CI,Score [⬆️],Rank [⬇️],Harmonic Rank [⬇️],Improvability (%) [⬇️],Median Train Time (s/1K) [⬇️],Median Predict Time (s/1K) [⬇️],Verified,Imputed (%) [⬇️],Imputed,Hardware
-0,📊,Reference Pipeline,"[AutoGluon 1.4 (extreme, 4h)](https://arxiv.org/abs/2003.06505)",1739.0,+227/-91,0.719,8.27,4.19,2.698,669.92,5.859,✔️,0.0,False,GPU
-1,🧠⚡,Foundation Model,[TabDPT (tuned + ensembled)](https://arxiv.org/abs/2410.18164),1729.0,+168/-39,0.762,8.57,3.59,3.514,4663.16,132.911,✔️,0.0,False,GPU
-2,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned + ensembled)](https://arxiv.org/abs/2511.08667),1723.0,+330/-141,0.759,8.8,2.61,1.819,2166.18,6.341,✔️,0.0,False,GPU
-3,🧠⚡,Foundation Model,[TabDPT (tuned)](https://arxiv.org/abs/2410.18164),1700.0,+126/-35,0.714,9.59,4.88,3.925,4663.16,18.295,✔️,0.0,False,GPU
-4,🧠🔁,Neural Network,[RealMLP (tuned + ensembled)](https://arxiv.org/abs/2407.04491),1683.0,+128/-58,0.668,10.23,5.68,3.758,4823.88,33.539,✔️,0.0,False,GPU
-5,🧠⚡,Foundation Model,[TabDPT (default)](https://arxiv.org/abs/2410.18164),1629.0,+173/-55,0.621,12.42,4.68,4.925,47.35,39.185,✔️,0.0,False,GPU
-6,🧠⚡,Foundation Model,[TabPFNv2 (tuned + ensembled)](https://www.nature.com/articles/s41586-024-08328-6),1608.0,+192/-116,0.588,13.34,5.52,3.433,6577.99,56.795,✔️,0.0,False,GPU
-7,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned)](https://arxiv.org/abs/2511.08667),1592.0,+290/-166,0.611,14.05,4.42,2.746,2166.18,0.812,✔️,0.0,False,GPU
-8,📊,Reference Pipeline,"[AutoGluon 1.4 (best, 4h)](https://arxiv.org/abs/2003.06505)",1570.0,+118/-56,0.44,15.05,9.66,6.073,6530.9,4.363,✔️,0.0,False,CPU
-9,🧠🔁,Neural Network,[RealMLP (tuned)](https://arxiv.org/abs/2407.04491),1567.0,+155/-64,0.453,15.2,8.65,4.861,4823.88,1.952,✔️,0.0,False,GPU
-10,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (default)](https://arxiv.org/abs/2511.08667),1558.0,+240/-170,0.574,15.66,8.09,4.628,7.15,0.501,✔️,0.0,False,GPU
-11,🌳,Tree-based,[CatBoost (tuned + ensembled)](https://arxiv.org/abs/1706.09516),1541.0,+117/-41,0.378,16.46,10.88,6.6,3558.14,0.966,✔️,0.0,False,CPU
-12,🌳,Tree-based,[CatBoost (tuned)](https://arxiv.org/abs/1706.09516),1522.0,+130/-54,0.34,17.44,12.59,6.719,3558.14,0.105,✔️,0.0,False,CPU
-13,🧠🔁,Neural Network,[LimiX (default)](https://arxiv.org/abs/2509.03505),1506.0,+244/-239,0.539,18.25,5.6,19.533,5.94,0.652,➖,0.0,False,GPU
-14,🧠🔁,Neural Network,[Mitra (default)](https://arxiv.org/abs/2510.21204),1495.0,+192/-92,0.358,18.84,6.31,6.542,99.14,2.48,✔️,0.0,False,GPU
-15,❓,Other,[xRFM (tuned + ensembled)](https://arxiv.org/abs/2508.10053),1479.0,+131/-107,0.301,19.65,11.67,7.049,2045.39,1.388,✔️,0.0,False,GPU
-16,🌳,Tree-based,[LightGBM (tuned + ensembled)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1476.0,+114/-68,0.293,19.83,15.82,7.844,1003.11,4.891,✔️,0.0,False,CPU
-17,🧠🔁,Neural Network,[TabM (tuned + ensembled)](https://arxiv.org/abs/2410.24210),1462.0,+214/-134,0.321,20.58,13.69,5.521,4158.29,1.946,✔️,0.0,False,GPU
-18,🧠⚡,Foundation Model,[SAP-RPT-OSS (default)](https://arxiv.org/abs/2506.10707),1456.0,+100/-90,0.321,20.87,8.82,8.181,22.35,1.037,➖,0.0,False,GPU
-19,🧠⚡,Foundation Model,[TabPFNv2 (tuned)](https://www.nature.com/articles/s41586-024-08328-6),1440.0,+229/-182,0.385,21.72,10.03,5.404,6577.99,0.498,✔️,0.0,False,GPU
-20,🧠🔁,Neural Network,[ModernNCA (tuned + ensembled)](https://arxiv.org/abs/2407.03257),1439.0,+137/-69,0.26,21.82,11.61,8.701,9308.22,7.885,✔️,0.0,False,GPU
-21,🌳,Tree-based,[XGBoost (tuned + ensembled)](https://arxiv.org/abs/1603.02754),1430.0,+85/-37,0.214,22.31,18.92,8.121,933.42,2.759,✔️,0.0,False,CPU
-22,❓,Other,[xRFM (tuned)](https://arxiv.org/abs/2508.10053),1416.0,+125/-102,0.243,23.08,17.37,7.428,2045.39,0.104,✔️,0.0,False,GPU
-23,🌳,Tree-based,[XGBoost (tuned)](https://arxiv.org/abs/1603.02754),1403.0,+91/-46,0.176,23.76,19.64,8.287,933.42,0.388,✔️,0.0,False,CPU
-24,🌳,Tree-based,[LightGBM (tuned)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1401.0,+111/-70,0.187,23.9,18.64,8.681,1003.11,0.894,✔️,0.0,False,CPU
-25,🌳,Tree-based,[CatBoost (default)](https://arxiv.org/abs/1706.09516),1386.0,+140/-88,0.206,24.73,17.21,9.151,10.91,0.197,✔️,0.0,False,CPU
-26,🧠🔁,Neural Network,[TabM (tuned)](https://arxiv.org/abs/2410.24210),1365.0,+215/-157,0.213,25.91,14.61,6.643,4158.29,0.208,✔️,0.0,False,GPU
-27,🧠⚡,Foundation Model,[TabPFNv2 (default)](https://www.nature.com/articles/s41586-024-08328-6),1356.0,+232/-206,0.28,26.4,14.39,8.004,9.1,0.85,✔️,0.0,False,GPU
-28,🧠🔁,Neural Network,[ModernNCA (tuned)](https://arxiv.org/abs/2407.03257),1302.0,+96/-64,0.072,29.46,21.24,10.923,9308.22,0.416,✔️,0.0,False,GPU
-29,🧠🔁,Neural Network,[TabM (default)](https://arxiv.org/abs/2410.24210),1296.0,+216/-171,0.162,29.79,21.18,8.448,15.01,0.154,✔️,0.0,False,GPU
-30,🌳,Tree-based,[ExtraTrees (tuned + ensembled)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1294.0,+195/-165,0.164,29.92,19.42,13.284,623.85,1.144,✔️,0.0,False,CPU
-31,🧠🔁,Neural Network,[RealMLP (default)](https://arxiv.org/abs/2407.04491),1290.0,+172/-110,0.117,30.13,23.29,8.964,23.19,8.523,✔️,0.0,False,GPU
-32,🌳,Tree-based,[ExtraTrees (tuned)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1272.0,+171/-164,0.128,31.09,18.24,13.434,623.85,0.291,✔️,0.0,False,CPU
-33,🌳,Tree-based,[EBM (tuned + ensembled)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1252.0,+148/-168,0.086,32.21,22.04,12.728,2929.85,0.41,✔️,0.0,False,CPU
-34,🧠🔁,Neural Network,[ModernNCA (default)](https://arxiv.org/abs/2407.03257),1229.0,+91/-91,0.014,33.43,25.31,12.467,27.82,0.299,✔️,0.0,False,GPU
-35,🧠🔁,Neural Network,[TorchMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1222.0,+164/-151,0.062,33.78,28.25,11.172,5692.02,1.354,✔️,0.0,False,CPU
-36,🌳,Tree-based,[EBM (tuned)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1206.0,+166/-180,0.07,34.62,22.92,13.308,2929.85,0.037,✔️,0.0,False,CPU
-37,🌳,Tree-based,[LightGBM (default)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1202.0,+45/-45,0.0,34.8,33.0,11.471,4.57,0.275,✔️,0.0,False,CPU
-38,🌳,Tree-based,[RandomForest (tuned + ensembled)](https://link.springer.com/article/10.1023/A:1010933404324),1198.0,+126/-179,0.053,35.02,30.86,14.829,633.57,1.512,✔️,0.0,False,CPU
-39,🧠🔁,Neural Network,[TorchMLP (tuned)](https://arxiv.org/abs/2003.06505),1190.0,+188/-176,0.07,35.44,22.79,11.662,5692.02,0.131,✔️,0.0,False,CPU
-40,🌳,Tree-based,[RandomForest (tuned)](https://link.springer.com/article/10.1023/A:1010933404324),1161.0,+121/-186,0.036,36.89,32.75,15.374,633.57,0.248,✔️,0.0,False,CPU
-41,❓,Other,[xRFM (default)](https://arxiv.org/abs/2508.10053),1144.0,+154/-182,0.053,37.71,26.57,14.916,10.27,3.409,✔️,0.0,False,GPU
-42,🌳,Tree-based,[XGBoost (default)](https://arxiv.org/abs/1603.02754),1143.0,+46/-61,0.0,37.77,36.5,12.62,3.79,0.311,✔️,0.0,False,CPU
-43,🌳,Tree-based,[EBM (default)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1132.0,+130/-156,0.0,38.27,31.11,14.201,11.19,0.038,✔️,0.0,False,CPU
-44,🌳,Tree-based,[ExtraTrees (default)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1129.0,+133/-199,0.001,38.43,33.18,15.752,0.47,0.117,✔️,0.0,False,CPU
-45,🧠🔁,Neural Network,[FastaiMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1086.0,+62/-96,0.0,40.38,39.21,14.87,2248.07,7.53,✔️,0.0,False,CPU
-46,🧠🔁,Neural Network,[FastaiMLP (tuned)](https://arxiv.org/abs/2003.06505),1026.0,+70/-116,0.0,42.87,41.95,15.356,2248.07,0.89,✔️,0.0,False,CPU
-47,🧠🔁,Neural Network,[TorchMLP (default)](https://arxiv.org/abs/2003.06505),1014.0,+116/-188,0.0,43.33,41.08,14.945,24.31,0.134,✔️,0.0,False,CPU
-48,🌳,Tree-based,[RandomForest (default)](https://link.springer.com/article/10.1023/A:1010933404324),1000.0,+109/-209,0.0,43.85,41.61,17.347,0.53,0.118,✔️,0.0,False,CPU
-49,📏,Baseline,[KNN (tuned + ensembled)](https://scikit-learn.org/stable/modules/neighbors.html),983.0,+154/-421,0.0,44.47,35.41,21.405,84.3,0.438,✔️,0.0,False,CPU
-50,🧠🔁,Neural Network,[FastaiMLP (default)](https://arxiv.org/abs/2003.06505),903.0,+53/-156,0.0,47.09,46.46,20.509,7.09,0.843,✔️,0.0,False,CPU
-51,📏,Baseline,[KNN (tuned)](https://scikit-learn.org/stable/modules/neighbors.html),878.0,+150/-428,0.0,47.8,40.99,23.685,84.3,0.05,✔️,0.0,False,CPU
-52,📏,Baseline,[KNN (default)](https://scikit-learn.org/stable/modules/neighbors.html),802.0,+167/-576,0.0,49.69,37.37,30.336,0.39,0.044,✔️,0.0,False,CPU
-53,📏,Baseline,[Linear (tuned + ensembled)](https://scikit-learn.org/stable/modules/linear_model.html),608.0,+112/-431,0.0,53.0,52.7,36.075,779.18,0.247,✔️,0.0,False,CPU
-54,📏,Baseline,[Linear (tuned)](https://scikit-learn.org/stable/modules/linear_model.html),594.0,+126/-471,0.0,53.16,52.84,36.098,779.18,0.089,✔️,0.0,False,CPU
-55,📏,Baseline,[Linear (default)](https://scikit-learn.org/stable/modules/linear_model.html),422.0,+88/-423,0.0,54.9,54.88,37.483,3.97,0.122,✔️,0.0,False,CPU
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diff --git a/data/imputation_yes/splits_lite/tasks_all/datasets_all/website_leaderboard.csv b/data/imputation_yes/splits_lite/tasks_all/datasets_all/website_leaderboard.csv
deleted file mode 100644
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-#,Type,TypeName,Model,Elo [⬆️],Elo 95% CI,Score [⬆️],Rank [⬇️],Harmonic Rank [⬇️],Improvability (%) [⬇️],Median Train Time (s/1K) [⬇️],Median Predict Time (s/1K) [⬇️],Verified,Imputed (%) [⬇️],Imputed,Hardware
-0,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned + ensembled)](https://arxiv.org/abs/2511.08667),1626.0,+97/-66,0.68,8.67,2.79,3.917,2059.94,9.785,✔️,0.0,False,GPU
-1,📊,Reference Pipeline,"[AutoGluon 1.4 (extreme, 4h)](https://arxiv.org/abs/2003.06505)",1600.0,+80/-74,0.65,9.65,4.07,6.026,556.15,6.31,✔️,0.0,False,GPU
-2,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned)](https://arxiv.org/abs/2511.08667),1573.0,+82/-61,0.607,10.73,4.55,6.034,2059.94,1.03,✔️,0.0,False,GPU
-3,📊,Reference Pipeline,"[AutoGluon 1.4 (best, 4h)](https://arxiv.org/abs/2003.06505)",1539.0,+67/-62,0.556,12.24,5.02,7.8,1754.94,1.767,✔️,0.0,False,CPU
-4,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (default)](https://arxiv.org/abs/2511.08667),1537.0,+69/-50,0.563,12.32,6.53,6.68,5.71,0.611,✔️,0.0,False,GPU
-5,🧠🔁,Neural Network,[RealMLP (tuned + ensembled)](https://arxiv.org/abs/2407.04491),1505.0,+58/-50,0.497,13.9,8.13,8.918,2791.97,13.886,✔️,0.0,False,GPU
-6,🧠⚡,Foundation Model,[TabDPT (tuned + ensembled)](https://arxiv.org/abs/2410.18164),1434.0,+66/-58,0.452,17.82,5.12,9.317,6154.73,386.167,✔️,0.0,False,GPU
-7,🧠🔁,Neural Network,[RealMLP (tuned)](https://arxiv.org/abs/2407.04491),1429.0,+52/-55,0.401,18.09,9.84,10.444,2791.97,0.373,✔️,0.0,False,GPU
-8,🧠🔁,Neural Network,[TabM (tuned + ensembled)](https://arxiv.org/abs/2410.24210),1408.0,+67/-42,0.364,19.33,9.42,10.905,3133.91,1.273,✔️,0.0,False,GPU
-9,🌳,Tree-based,[LightGBM (tuned + ensembled)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1408.0,+39/-40,0.318,19.36,14.15,11.851,416.56,2.236,✔️,0.0,False,CPU
-10,🌳,Tree-based,[CatBoost (tuned + ensembled)](https://arxiv.org/abs/1706.09516),1389.0,+58/-44,0.32,20.54,13.3,11.444,1665.53,0.559,✔️,0.0,False,CPU
-11,🧠⚡,Foundation Model,[TabDPT (tuned)](https://arxiv.org/abs/2410.18164),1388.0,+74/-58,0.391,20.58,7.05,10.959,6154.73,39.452,✔️,0.0,False,GPU
-12,🧠🔁,Neural Network,[LimiX (default) [11.76% IMPUTED]](https://arxiv.org/abs/2509.03505),1388.0,+72/-60,0.397,20.63,6.16,12.972,3.88,0.594,➖,11.76,True,GPU
-13,🧠🔁,Neural Network,[ModernNCA (tuned + ensembled)](https://arxiv.org/abs/2407.03257),1380.0,+82/-61,0.378,21.1,8.11,11.741,4618.5,7.737,✔️,0.0,False,GPU
-14,🌳,Tree-based,[CatBoost (tuned)](https://arxiv.org/abs/1706.09516),1364.0,+52/-46,0.296,22.13,13.67,11.867,1665.53,0.065,✔️,0.0,False,CPU
-15,🌳,Tree-based,[XGBoost (tuned + ensembled)](https://arxiv.org/abs/1603.02754),1361.0,+38/-50,0.274,22.32,14.32,12.481,700.96,1.439,✔️,0.0,False,CPU
-16,🌳,Tree-based,[LightGBM (tuned)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1348.0,+50/-47,0.261,23.14,17.37,12.755,416.56,0.381,✔️,0.0,False,CPU
-17,🧠🔁,Neural Network,[ModernNCA (tuned)](https://arxiv.org/abs/2407.03257),1346.0,+61/-57,0.299,23.29,12.06,12.351,4618.5,0.47,✔️,0.0,False,GPU
-18,🧠🔁,Neural Network,[TabM (tuned)](https://arxiv.org/abs/2410.24210),1344.0,+60/-54,0.291,23.42,13.8,11.839,3133.91,0.13,✔️,0.0,False,GPU
-19,🌳,Tree-based,[CatBoost (default)](https://arxiv.org/abs/1706.09516),1342.0,+44/-46,0.26,23.57,13.44,12.455,6.7,0.088,✔️,0.0,False,CPU
-20,🌳,Tree-based,[XGBoost (tuned)](https://arxiv.org/abs/1603.02754),1340.0,+43/-46,0.252,23.69,13.35,12.662,700.96,0.213,✔️,0.0,False,CPU
-21,❓,Other,[xRFM (tuned + ensembled)](https://arxiv.org/abs/2508.10053),1338.0,+60/-45,0.28,23.8,14.67,12.633,866.11,2.007,✔️,0.0,False,GPU
-22,🧠⚡,Foundation Model,[TabPFNv2 (tuned + ensembled) [35.29% IMPUTED]](https://www.nature.com/articles/s41586-024-08328-6),1332.0,+74/-71,0.333,24.19,7.95,12.812,2942.08,17.372,✔️,35.29,True,GPU
-23,🧠🔁,Neural Network,[Mitra (default) [35.29% IMPUTED]](https://arxiv.org/abs/2510.21204),1308.0,+55/-66,0.278,25.82,10.58,13.616,87.34,2.433,✔️,35.29,True,GPU
-24,❓,Other,[xRFM (tuned)](https://arxiv.org/abs/2508.10053),1290.0,+56/-45,0.203,27.03,14.56,14.011,866.11,0.097,✔️,0.0,False,GPU
-25,🧠⚡,Foundation Model,[TabDPT (default)](https://arxiv.org/abs/2410.18164),1286.0,+71/-72,0.286,27.28,9.59,13.65,45.42,39.406,✔️,0.0,False,GPU
-26,🧠⚡,Foundation Model,[TabICL (default) [29.41% IMPUTED]](https://arxiv.org/abs/2502.05564),1282.0,+59/-55,0.249,27.53,9.56,13.464,6.86,1.52,✔️,29.41,True,GPU
-27,🧠🔁,Neural Network,[TabM (default)](https://arxiv.org/abs/2410.24210),1281.0,+50/-51,0.224,27.59,19.02,14.241,11.56,0.127,✔️,0.0,False,GPU
-28,🧠⚡,Foundation Model,[TabPFNv2 (tuned) [35.29% IMPUTED]](https://www.nature.com/articles/s41586-024-08328-6),1267.0,+69/-57,0.23,28.57,14.59,14.474,2942.08,0.262,✔️,35.29,True,GPU
-29,🌳,Tree-based,[EBM (tuned + ensembled)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1265.0,+51/-54,0.188,28.67,17.42,15.201,2961.52,0.482,✔️,0.0,False,CPU
-30,🧠🔁,Neural Network,[TorchMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1256.0,+46/-55,0.155,29.33,23.12,13.981,2832.8,1.801,✔️,0.0,False,CPU
-31,🧠🔁,Neural Network,[RealMLP (default)](https://arxiv.org/abs/2407.04491),1254.0,+44/-49,0.137,29.41,20.58,14.615,10.44,1.714,✔️,0.0,False,GPU
-32,🧠⚡,Foundation Model,[SAP-RPT-OSS (default)](https://arxiv.org/abs/2506.10707),1247.0,+69/-62,0.206,29.89,13.64,15.618,13.95,2.081,➖,0.0,False,GPU
-33,🧠⚡,Foundation Model,[BetaTabPFN (default) [25.49% IMPUTED]](https://arxiv.org/abs/2502.02527),1242.0,+68/-56,0.194,30.22,18.05,15.841,202.99,1.155,➖,25.49,True,GPU
-34,🧠⚡,Foundation Model,[TabPFNv2 (default) [35.29% IMPUTED]](https://www.nature.com/articles/s41586-024-08328-6),1230.0,+65/-80,0.21,31.01,12.41,15.328,3.27,0.315,✔️,35.29,True,GPU
-35,🧠🔁,Neural Network,[ModernNCA (default)](https://arxiv.org/abs/2407.03257),1216.0,+62/-49,0.134,31.95,16.7,16.847,13.74,0.316,✔️,0.0,False,GPU
-36,🌳,Tree-based,[EBM (tuned)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1216.0,+60/-57,0.142,31.98,16.32,16.032,2961.52,0.048,✔️,0.0,False,CPU
-37,🌳,Tree-based,[ExtraTrees (tuned + ensembled)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1205.0,+57/-60,0.116,32.73,23.94,17.265,191.44,0.76,✔️,0.0,False,CPU
-38,🌳,Tree-based,[EBM (default)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1192.0,+54/-59,0.126,33.59,18.17,16.984,7.66,0.046,✔️,0.0,False,CPU
-39,🧠🔁,Neural Network,[TorchMLP (tuned)](https://arxiv.org/abs/2003.06505),1188.0,+48/-60,0.121,33.8,26.36,15.841,2832.8,0.112,✔️,0.0,False,CPU
-40,🌳,Tree-based,[XGBoost (default)](https://arxiv.org/abs/1603.02754),1185.0,+57/-53,0.117,34.0,22.79,15.887,2.06,0.122,✔️,0.0,False,CPU
-41,🧠🔁,Neural Network,[FastaiMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1174.0,+62/-67,0.111,34.75,25.02,17.624,594.95,4.651,✔️,0.0,False,CPU
-42,🌳,Tree-based,[ExtraTrees (tuned)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1172.0,+63/-62,0.117,34.87,20.84,18.313,191.44,0.101,✔️,0.0,False,CPU
-43,🌳,Tree-based,[RandomForest (tuned + ensembled)](https://link.springer.com/article/10.1023/A:1010933404324),1165.0,+56/-60,0.084,35.31,26.84,18.204,377.08,0.747,✔️,0.0,False,CPU
-44,🌳,Tree-based,[LightGBM (default)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1153.0,+52/-47,0.083,36.05,31.32,16.682,2.2,0.171,✔️,0.0,False,CPU
-45,🌳,Tree-based,[RandomForest (tuned)](https://link.springer.com/article/10.1023/A:1010933404324),1122.0,+47/-47,0.048,37.99,32.14,19.017,377.08,0.091,✔️,0.0,False,CPU
-46,🧠🔁,Neural Network,[FastaiMLP (tuned)](https://arxiv.org/abs/2003.06505),1101.0,+59/-76,0.07,39.24,28.21,19.244,594.95,0.337,✔️,0.0,False,CPU
-47,❓,Other,[xRFM (default)](https://arxiv.org/abs/2508.10053),1031.0,+70/-72,0.055,43.16,28.11,23.862,3.14,0.741,✔️,0.0,False,GPU
-48,🧠🔁,Neural Network,[TorchMLP (default)](https://arxiv.org/abs/2003.06505),1031.0,+54/-68,0.022,43.16,38.61,21.088,8.96,0.129,✔️,0.0,False,CPU
-49,🌳,Tree-based,[RandomForest (default)](https://link.springer.com/article/10.1023/A:1010933404324),1000.0,+61/-56,0.014,44.75,37.94,23.881,0.43,0.053,✔️,0.0,False,CPU
-50,🧠⚡,Foundation Model,[TabFlex (default) [25.49% IMPUTED]](https://arxiv.org/abs/2506.05584),978.0,+75/-87,0.035,45.82,38.62,26.116,0.8,0.119,➖,25.49,True,GPU
-51,🌳,Tree-based,[ExtraTrees (default)](https://link.springer.com/article/10.1007/s10994-006-6226-1),970.0,+73/-75,0.017,46.2,42.25,25.472,0.26,0.054,✔️,0.0,False,CPU
-52,📏,Baseline,[KNN (tuned + ensembled)](https://scikit-learn.org/stable/modules/neighbors.html),968.0,+63/-81,0.024,46.27,40.78,25.723,129.1,1.627,✔️,0.0,False,CPU
-53,🧠🔁,Neural Network,[FastaiMLP (default)](https://arxiv.org/abs/2003.06505),965.0,+66/-76,0.022,46.41,42.88,23.185,3.12,0.312,✔️,0.0,False,CPU
-54,📏,Baseline,[Linear (tuned + ensembled)](https://scikit-learn.org/stable/modules/linear_model.html),897.0,+80/-107,0.024,49.25,24.96,32.354,240.73,0.308,✔️,0.0,False,CPU
-55,📏,Baseline,[Linear (tuned)](https://scikit-learn.org/stable/modules/linear_model.html),867.0,+81/-108,0.018,50.34,33.79,32.94,240.73,0.068,✔️,0.0,False,CPU
-56,📏,Baseline,[Linear (default)](https://scikit-learn.org/stable/modules/linear_model.html),805.0,+92/-125,0.008,52.31,49.17,35.498,1.23,0.115,✔️,0.0,False,CPU
-57,📏,Baseline,[KNN (tuned)](https://scikit-learn.org/stable/modules/neighbors.html),803.0,+67/-90,0.012,52.35,50.24,31.855,129.1,0.103,✔️,0.0,False,CPU
-58,📏,Baseline,[KNN (default)](https://scikit-learn.org/stable/modules/neighbors.html),586.0,+80/-129,0.0,56.84,56.52,44.446,0.19,0.037,✔️,0.0,False,CPU
diff --git a/data/imputation_yes/splits_lite/tasks_all/datasets_all/winrate_matrix.png.zip b/data/imputation_yes/splits_lite/tasks_all/datasets_all/winrate_matrix.png.zip
deleted file mode 100644
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--- a/data/imputation_yes/splits_lite/tasks_all/datasets_all/winrate_matrix.png.zip
+++ /dev/null
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deleted file mode 100644
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diff --git a/data/imputation_yes/splits_lite/tasks_all/datasets_medium/pareto_front_improvability_vs_time_infer.png.zip b/data/imputation_yes/splits_lite/tasks_all/datasets_medium/pareto_front_improvability_vs_time_infer.png.zip
deleted file mode 100644
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deleted file mode 100644
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diff --git a/data/imputation_yes/splits_lite/tasks_all/datasets_medium/tuning-impact-elo.png.zip b/data/imputation_yes/splits_lite/tasks_all/datasets_medium/tuning-impact-elo.png.zip
deleted file mode 100644
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diff --git a/data/imputation_yes/splits_lite/tasks_all/datasets_medium/website_leaderboard.csv b/data/imputation_yes/splits_lite/tasks_all/datasets_medium/website_leaderboard.csv
deleted file mode 100644
index bd90c9fb3f023338490761a4906674f99f85dd8e..0000000000000000000000000000000000000000
--- a/data/imputation_yes/splits_lite/tasks_all/datasets_medium/website_leaderboard.csv
+++ /dev/null
@@ -1,56 +0,0 @@
-#,Type,TypeName,Model,Elo [⬆️],Elo 95% CI,Score [⬆️],Rank [⬇️],Harmonic Rank [⬇️],Improvability (%) [⬇️],Median Train Time (s/1K) [⬇️],Median Predict Time (s/1K) [⬇️],Verified,Imputed (%) [⬇️],Imputed,Hardware
-0,📊,Reference Pipeline,"[AutoGluon 1.4 (best, 4h)](https://arxiv.org/abs/2003.06505)",1878.0,+150/-64,0.805,4.73,2.46,2.12,432.14,4.214,✔️,0.0,False,CPU
-1,📊,Reference Pipeline,"[AutoGluon 1.4 (extreme, 4h)](https://arxiv.org/abs/2003.06505)",1836.0,+144/-71,0.776,5.6,2.89,2.589,302.05,2.868,✔️,0.0,False,GPU
-2,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned + ensembled)](https://arxiv.org/abs/2511.08667),1728.0,+174/-119,0.668,8.47,3.18,3.925,739.1,11.65,✔️,0.0,False,GPU
-3,🧠🔁,Neural Network,[ModernNCA (tuned + ensembled)](https://arxiv.org/abs/2407.03257),1686.0,+169/-132,0.644,9.87,4.58,4.338,2522.58,6.234,✔️,0.0,False,GPU
-4,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned)](https://arxiv.org/abs/2511.08667),1678.0,+160/-110,0.616,10.13,4.61,5.359,739.1,1.134,✔️,0.0,False,GPU
-5,🧠🔁,Neural Network,[RealMLP (tuned + ensembled)](https://arxiv.org/abs/2407.04491),1620.0,+96/-82,0.537,12.33,8.51,5.94,1714.29,1.743,✔️,0.0,False,GPU
-6,🌳,Tree-based,[CatBoost (tuned + ensembled)](https://arxiv.org/abs/1706.09516),1580.0,+116/-79,0.466,14.0,8.67,6.784,763.16,0.246,✔️,0.0,False,CPU
-7,🌳,Tree-based,[LightGBM (tuned + ensembled)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1578.0,+89/-63,0.44,14.07,10.43,7.733,129.25,2.621,✔️,0.0,False,CPU
-8,🌳,Tree-based,[CatBoost (tuned)](https://arxiv.org/abs/1706.09516),1552.0,+108/-70,0.441,15.23,8.24,6.913,763.16,0.04,✔️,0.0,False,CPU
-9,🧠🔁,Neural Network,[ModernNCA (tuned)](https://arxiv.org/abs/2407.03257),1551.0,+145/-113,0.445,15.27,11.31,7.879,2522.58,0.318,✔️,0.0,False,GPU
-10,🌳,Tree-based,[XGBoost (tuned + ensembled)](https://arxiv.org/abs/1603.02754),1547.0,+96/-59,0.398,15.47,10.78,7.467,289.35,0.706,✔️,0.0,False,CPU
-11,🧠🔁,Neural Network,[TabM (tuned + ensembled)](https://arxiv.org/abs/2410.24210),1537.0,+147/-91,0.411,15.93,6.88,7.635,1993.57,0.581,✔️,0.0,False,GPU
-12,🌳,Tree-based,[LightGBM (tuned)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1526.0,+101/-85,0.368,16.47,12.7,8.359,129.25,0.117,✔️,0.0,False,CPU
-13,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (default)](https://arxiv.org/abs/2511.08667),1520.0,+150/-114,0.421,16.73,8.21,6.533,1.91,0.668,✔️,0.0,False,GPU
-14,🧠🔁,Neural Network,[RealMLP (tuned)](https://arxiv.org/abs/2407.04491),1511.0,+131/-117,0.409,17.13,10.12,7.967,1714.29,0.079,✔️,0.0,False,GPU
-15,🌳,Tree-based,[CatBoost (default)](https://arxiv.org/abs/1706.09516),1509.0,+111/-85,0.415,17.23,7.63,7.185,2.93,0.045,✔️,0.0,False,CPU
-16,🌳,Tree-based,[XGBoost (tuned)](https://arxiv.org/abs/1603.02754),1492.0,+105/-82,0.359,18.07,13.26,7.701,289.35,0.08,✔️,0.0,False,CPU
-17,🧠🔁,Neural Network,[TabM (tuned)](https://arxiv.org/abs/2410.24210),1456.0,+145/-85,0.316,19.87,11.03,8.363,1993.57,0.06,✔️,0.0,False,GPU
-18,🧠⚡,Foundation Model,[TabDPT (tuned + ensembled)](https://arxiv.org/abs/2410.18164),1455.0,+137/-118,0.359,19.93,5.47,8.104,4532.14,387.927,✔️,0.0,False,GPU
-19,❓,Other,[xRFM (tuned + ensembled)](https://arxiv.org/abs/2508.10053),1410.0,+113/-104,0.305,22.2,15.32,9.218,559.64,0.88,✔️,0.0,False,GPU
-20,🧠⚡,Foundation Model,[TabDPT (tuned)](https://arxiv.org/abs/2410.18164),1391.0,+155/-142,0.306,23.23,8.78,10.694,4532.14,39.452,✔️,0.0,False,GPU
-21,❓,Other,[xRFM (tuned)](https://arxiv.org/abs/2508.10053),1372.0,+105/-93,0.206,24.2,18.36,11.567,559.64,0.051,✔️,0.0,False,GPU
-22,🌳,Tree-based,[XGBoost (default)](https://arxiv.org/abs/1603.02754),1370.0,+121/-124,0.242,24.33,13.17,9.557,0.48,0.047,✔️,0.0,False,CPU
-23,🧠🔁,Neural Network,[TabM (default)](https://arxiv.org/abs/2410.24210),1365.0,+122/-107,0.208,24.6,20.47,10.953,5.42,0.078,✔️,0.0,False,GPU
-24,🧠🔁,Neural Network,[TorchMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1335.0,+83/-64,0.138,26.2,22.09,10.076,1803.23,1.199,✔️,0.0,False,CPU
-25,🧠⚡,Foundation Model,[TabICL (default) [33.33% IMPUTED]](https://arxiv.org/abs/2502.05564),1324.0,+147/-118,0.199,26.8,15.97,10.541,3.98,1.593,✔️,33.33,True,GPU
-26,🧠🔁,Neural Network,[LimiX (default) [40.00% IMPUTED]](https://arxiv.org/abs/2509.03505),1321.0,+158/-147,0.242,26.97,5.9,14.403,1.09,0.318,➖,40.0,True,GPU
-27,🌳,Tree-based,[EBM (tuned + ensembled)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1316.0,+134/-145,0.222,27.2,18.17,13.157,1535.55,0.182,✔️,0.0,False,CPU
-28,🧠🔁,Neural Network,[RealMLP (default)](https://arxiv.org/abs/2407.04491),1279.0,+84/-75,0.071,29.2,26.28,12.919,6.54,0.294,✔️,0.0,False,GPU
-29,🧠⚡,Foundation Model,[TabDPT (default)](https://arxiv.org/abs/2410.18164),1277.0,+124/-139,0.197,29.3,13.53,13.622,41.5,39.095,✔️,0.0,False,GPU
-30,🧠🔁,Neural Network,[ModernNCA (default)](https://arxiv.org/abs/2407.03257),1269.0,+93/-95,0.123,29.73,25.4,11.636,9.07,0.224,✔️,0.0,False,GPU
-31,🌳,Tree-based,[RandomForest (tuned + ensembled)](https://link.springer.com/article/10.1023/A:1010933404324),1234.0,+96/-90,0.05,31.6,25.18,12.885,65.73,0.23,✔️,0.0,False,CPU
-32,🧠🔁,Neural Network,[TorchMLP (tuned)](https://arxiv.org/abs/2003.06505),1231.0,+82/-94,0.069,31.73,28.47,12.561,1803.23,0.051,✔️,0.0,False,CPU
-33,🌳,Tree-based,[ExtraTrees (tuned + ensembled)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1222.0,+96/-117,0.058,32.2,29.23,12.624,36.73,0.359,✔️,0.0,False,CPU
-34,🌳,Tree-based,[LightGBM (default)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1215.0,+81/-97,0.05,32.53,30.68,12.051,0.34,0.07,✔️,0.0,False,CPU
-35,🌳,Tree-based,[EBM (tuned)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1209.0,+133/-142,0.135,32.87,25.93,14.45,1535.55,0.013,✔️,0.0,False,CPU
-36,🌳,Tree-based,[RandomForest (tuned)](https://link.springer.com/article/10.1023/A:1010933404324),1202.0,+90/-83,0.039,33.23,29.01,13.221,65.73,0.025,✔️,0.0,False,CPU
-37,🌳,Tree-based,[EBM (default)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1198.0,+111/-141,0.121,33.4,28.97,15.546,2.99,0.016,✔️,0.0,False,CPU
-38,🧠⚡,Foundation Model,[BetaTabPFN (default) [33.33% IMPUTED]](https://arxiv.org/abs/2502.02527),1181.0,+122/-106,0.078,34.27,24.43,14.165,66.06,0.61,➖,33.33,True,GPU
-39,🧠🔁,Neural Network,[FastaiMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1173.0,+115/-141,0.068,34.67,28.06,15.053,354.91,1.636,✔️,0.0,False,CPU
-40,🧠⚡,Foundation Model,[SAP-RPT-OSS (default)](https://arxiv.org/abs/2506.10707),1154.0,+115/-114,0.059,35.6,29.57,15.308,11.42,10.384,➖,0.0,False,GPU
-41,🌳,Tree-based,[ExtraTrees (tuned)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1151.0,+90/-113,0.033,35.73,33.1,15.004,36.73,0.038,✔️,0.0,False,CPU
-42,🧠🔁,Neural Network,[TorchMLP (default)](https://arxiv.org/abs/2003.06505),1075.0,+87/-90,0.009,39.27,37.57,16.371,2.58,0.039,✔️,0.0,False,CPU
-43,🧠🔁,Neural Network,[FastaiMLP (tuned)](https://arxiv.org/abs/2003.06505),1038.0,+94/-110,0.013,40.87,38.99,17.618,354.91,0.094,✔️,0.0,False,CPU
-44,❓,Other,[xRFM (default)](https://arxiv.org/abs/2508.10053),1012.0,+160/-213,0.024,41.93,35.77,25.313,2.55,0.157,✔️,0.0,False,GPU
-45,🌳,Tree-based,[RandomForest (default)](https://link.springer.com/article/10.1023/A:1010933404324),1000.0,+64/-107,0.0,42.4,41.31,18.863,0.24,0.022,✔️,0.0,False,CPU
-46,📏,Baseline,[KNN (tuned + ensembled)](https://scikit-learn.org/stable/modules/neighbors.html),963.0,+92/-120,0.012,43.8,41.71,22.593,150.58,4.952,✔️,0.0,False,CPU
-47,🧠🔁,Neural Network,[FastaiMLP (default)](https://arxiv.org/abs/2003.06505),927.0,+109/-153,0.017,45.07,42.46,21.122,1.49,0.113,✔️,0.0,False,CPU
-48,🌳,Tree-based,[ExtraTrees (default)](https://link.springer.com/article/10.1007/s10994-006-6226-1),915.0,+112/-144,0.01,45.47,43.5,22.439,0.13,0.022,✔️,0.0,False,CPU
-49,📏,Baseline,[Linear (tuned + ensembled)](https://scikit-learn.org/stable/modules/linear_model.html),910.0,+168/-224,0.013,45.63,41.73,32.033,43.96,0.081,✔️,0.0,False,CPU
-50,🧠⚡,Foundation Model,[TabFlex (default) [33.33% IMPUTED]](https://arxiv.org/abs/2506.05584),872.0,+96/-147,0.0,46.8,45.9,27.553,0.27,0.043,➖,33.33,True,GPU
-51,📏,Baseline,[Linear (tuned)](https://scikit-learn.org/stable/modules/linear_model.html),860.0,+153/-235,0.002,47.17,44.36,32.796,43.96,0.017,✔️,0.0,False,CPU
-52,📏,Baseline,[KNN (tuned)](https://scikit-learn.org/stable/modules/neighbors.html),777.0,+57/-122,0.0,49.33,49.09,29.049,150.58,0.546,✔️,0.0,False,CPU
-53,📏,Baseline,[Linear (default)](https://scikit-learn.org/stable/modules/linear_model.html),718.0,+105/-186,0.0,50.6,50.21,34.849,0.2,0.02,✔️,0.0,False,CPU
-54,📏,Baseline,[KNN (default)](https://scikit-learn.org/stable/modules/neighbors.html),528.0,+94/-197,0.0,53.33,53.25,42.696,0.1,0.068,✔️,0.0,False,CPU
diff --git a/data/imputation_yes/splits_lite/tasks_all/datasets_medium/winrate_matrix.png.zip b/data/imputation_yes/splits_lite/tasks_all/datasets_medium/winrate_matrix.png.zip
deleted file mode 100644
index 84ce6a17a7587f14ca344423823269ecb2ae10bc..0000000000000000000000000000000000000000
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+++ /dev/null
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diff --git a/data/imputation_yes/splits_lite/tasks_all/datasets_small/pareto_front_improvability_vs_time_infer.png.zip b/data/imputation_yes/splits_lite/tasks_all/datasets_small/pareto_front_improvability_vs_time_infer.png.zip
deleted file mode 100644
index 9ca63a1993a548ae85a0056ca8e08f56f434edcf..0000000000000000000000000000000000000000
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+++ /dev/null
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diff --git a/data/imputation_yes/splits_lite/tasks_all/datasets_small/tuning-impact-elo.png.zip b/data/imputation_yes/splits_lite/tasks_all/datasets_small/tuning-impact-elo.png.zip
deleted file mode 100644
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--- a/data/imputation_yes/splits_lite/tasks_all/datasets_small/tuning-impact-elo.png.zip
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diff --git a/data/imputation_yes/splits_lite/tasks_all/datasets_small/website_leaderboard.csv b/data/imputation_yes/splits_lite/tasks_all/datasets_small/website_leaderboard.csv
deleted file mode 100644
index b2eb13bdcad585fb57c1479046642b7686098501..0000000000000000000000000000000000000000
--- a/data/imputation_yes/splits_lite/tasks_all/datasets_small/website_leaderboard.csv
+++ /dev/null
@@ -1,60 +0,0 @@
-#,Type,TypeName,Model,Elo [⬆️],Elo 95% CI,Score [⬆️],Rank [⬇️],Harmonic Rank [⬇️],Improvability (%) [⬇️],Median Train Time (s/1K) [⬇️],Median Predict Time (s/1K) [⬇️],Verified,Imputed (%) [⬇️],Imputed,Hardware
-0,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned + ensembled)](https://arxiv.org/abs/2511.08667),1626.0,+127/-86,0.677,8.75,2.66,3.914,2319.48,8.957,✔️,0.0,False,GPU
-1,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (default)](https://arxiv.org/abs/2511.08667),1584.0,+102/-67,0.599,10.38,6.01,6.742,6.58,0.586,✔️,0.0,False,GPU
-2,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned)](https://arxiv.org/abs/2511.08667),1570.0,+105/-71,0.595,10.97,4.53,6.315,2319.48,0.942,✔️,0.0,False,GPU
-3,📊,Reference Pipeline,"[AutoGluon 1.4 (extreme, 4h)](https://arxiv.org/abs/2003.06505)",1562.0,+81/-66,0.588,11.33,4.91,7.459,657.21,7.989,✔️,0.0,False,GPU
-4,🧠🔁,Neural Network,[RealMLP (tuned + ensembled)](https://arxiv.org/abs/2407.04491),1497.0,+66/-57,0.465,14.44,7.97,10.159,3855.22,24.935,✔️,0.0,False,GPU
-5,📊,Reference Pipeline,"[AutoGluon 1.4 (best, 4h)](https://arxiv.org/abs/2003.06505)",1480.0,+58/-53,0.443,15.36,8.88,10.167,3351.09,1.56,✔️,0.0,False,CPU
-6,🧠⚡,Foundation Model,[TabPFNv2 (tuned + ensembled) [8.33% IMPUTED]](https://www.nature.com/articles/s41586-024-08328-6),1472.0,+109/-80,0.471,15.78,5.93,10.288,3560.23,49.21,✔️,8.33,True,GPU
-7,🧠⚡,Foundation Model,[TabDPT (tuned + ensembled)](https://arxiv.org/abs/2410.18164),1452.0,+94/-72,0.469,16.94,4.99,9.823,8059.77,364.288,✔️,0.0,False,GPU
-8,🧠🔁,Neural Network,[LimiX (default)](https://arxiv.org/abs/2509.03505),1439.0,+91/-71,0.454,17.65,6.26,12.376,5.11,0.624,➖,0.0,False,GPU
-9,🧠🔁,Neural Network,[Mitra (default) [8.33% IMPUTED]](https://arxiv.org/abs/2510.21204),1432.0,+86/-50,0.394,18.08,8.05,11.429,128.8,2.999,✔️,8.33,True,GPU
-10,🧠🔁,Neural Network,[RealMLP (tuned)](https://arxiv.org/abs/2407.04491),1429.0,+71/-72,0.381,18.26,9.71,11.477,3855.22,0.954,✔️,0.0,False,GPU
-11,🧠⚡,Foundation Model,[TabDPT (tuned)](https://arxiv.org/abs/2410.18164),1412.0,+87/-81,0.418,19.31,6.51,11.069,8059.77,39.456,✔️,0.0,False,GPU
-12,🧠🔁,Neural Network,[TabM (tuned + ensembled)](https://arxiv.org/abs/2410.24210),1388.0,+68/-56,0.332,20.75,11.13,12.268,3629.74,1.48,✔️,0.0,False,GPU
-13,🌳,Tree-based,[LightGBM (tuned + ensembled)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1376.0,+45/-43,0.25,21.57,16.63,13.566,833.03,2.182,✔️,0.0,False,CPU
-14,🧠⚡,Foundation Model,[TabPFNv2 (tuned) [8.33% IMPUTED]](https://www.nature.com/articles/s41586-024-08328-6),1369.0,+88/-71,0.325,21.99,11.42,12.643,3560.23,0.519,✔️,8.33,True,GPU
-15,🌳,Tree-based,[CatBoost (tuned + ensembled)](https://arxiv.org/abs/1706.09516),1349.0,+60/-57,0.239,23.26,17.1,13.386,2448.79,0.814,✔️,0.0,False,CPU
-16,❓,Other,[xRFM (tuned + ensembled)](https://arxiv.org/abs/2508.10053),1332.0,+70/-63,0.258,24.36,14.4,14.055,1346.37,2.149,✔️,0.0,False,GPU
-17,🧠🔁,Neural Network,[TabM (tuned)](https://arxiv.org/abs/2410.24210),1326.0,+74/-71,0.265,24.79,15.4,13.287,3629.74,0.189,✔️,0.0,False,GPU
-18,🌳,Tree-based,[CatBoost (tuned)](https://arxiv.org/abs/1706.09516),1323.0,+64/-53,0.215,25.0,18.83,13.932,2448.79,0.078,✔️,0.0,False,CPU
-19,🌳,Tree-based,[XGBoost (tuned + ensembled)](https://arxiv.org/abs/1603.02754),1320.0,+55/-43,0.199,25.18,16.6,14.57,886.51,1.982,✔️,0.0,False,CPU
-20,🧠⚡,Foundation Model,[TabPFNv2 (default) [8.33% IMPUTED]](https://www.nature.com/articles/s41586-024-08328-6),1316.0,+78/-64,0.297,25.43,9.56,13.855,4.98,0.511,✔️,8.33,True,GPU
-21,🧠🔁,Neural Network,[ModernNCA (tuned + ensembled)](https://arxiv.org/abs/2407.03257),1311.0,+67/-71,0.258,25.78,11.95,14.826,6341.76,8.556,✔️,0.0,False,GPU
-22,🌳,Tree-based,[LightGBM (tuned)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1309.0,+52/-46,0.196,25.92,20.51,14.586,833.03,0.435,✔️,0.0,False,CPU
-23,🧠⚡,Foundation Model,[TabDPT (default)](https://arxiv.org/abs/2410.18164),1308.0,+85/-80,0.311,26.0,8.54,13.661,51.78,39.927,✔️,0.0,False,GPU
-24,🌳,Tree-based,[XGBoost (tuned)](https://arxiv.org/abs/1603.02754),1307.0,+58/-51,0.185,26.03,13.38,14.729,886.51,0.318,✔️,0.0,False,CPU
-25,🌳,Tree-based,[CatBoost (default)](https://arxiv.org/abs/1706.09516),1305.0,+48/-45,0.173,26.21,19.69,14.65,8.39,0.139,✔️,0.0,False,CPU
-26,🧠🔁,Neural Network,[ModernNCA (tuned)](https://arxiv.org/abs/2407.03257),1298.0,+63/-64,0.223,26.64,12.4,14.214,6341.76,0.501,✔️,0.0,False,GPU
-27,🧠⚡,Foundation Model,[SAP-RPT-OSS (default)](https://arxiv.org/abs/2506.10707),1295.0,+76/-79,0.265,26.85,11.09,15.747,16.54,1.255,➖,0.0,False,GPU
-28,🧠⚡,Foundation Model,[TabICL (default) [27.78% IMPUTED]](https://arxiv.org/abs/2502.05564),1285.0,+90/-99,0.253,27.53,8.17,14.682,7.56,1.494,✔️,27.78,True,GPU
-29,🧠⚡,Foundation Model,[BetaTabPFN (default) [22.22% IMPUTED]](https://arxiv.org/abs/2502.02527),1280.0,+76/-77,0.226,27.89,16.19,16.539,269.12,1.881,➖,22.22,True,GPU
-30,❓,Other,[xRFM (tuned)](https://arxiv.org/abs/2508.10053),1278.0,+65/-62,0.191,27.99,13.38,15.03,1346.37,0.103,✔️,0.0,False,GPU
-31,🧠🔁,Neural Network,[TabM (default)](https://arxiv.org/abs/2410.24210),1269.0,+65/-61,0.213,28.61,18.45,15.611,13.71,0.149,✔️,0.0,False,GPU
-32,🌳,Tree-based,[EBM (tuned + ensembled)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1267.0,+67/-57,0.162,28.72,17.04,16.053,3249.24,0.548,✔️,0.0,False,CPU
-33,🧠🔁,Neural Network,[RealMLP (default)](https://arxiv.org/abs/2407.04491),1261.0,+57/-61,0.147,29.17,18.82,15.321,16.6,4.299,✔️,0.0,False,GPU
-34,🧠🔁,Neural Network,[TorchMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1240.0,+51/-62,0.151,30.53,23.54,15.608,3693.32,2.14,✔️,0.0,False,CPU
-35,🌳,Tree-based,[EBM (tuned)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1232.0,+64/-60,0.136,31.06,14.09,16.691,3249.24,0.059,✔️,0.0,False,CPU
-36,🧠🔁,Neural Network,[ModernNCA (default)](https://arxiv.org/abs/2407.03257),1207.0,+72/-72,0.117,32.76,14.6,19.018,14.9,0.323,✔️,0.0,False,GPU
-37,🌳,Tree-based,[ExtraTrees (tuned + ensembled)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1206.0,+78/-77,0.133,32.83,22.24,19.199,497.58,1.147,✔️,0.0,False,CPU
-38,🌳,Tree-based,[EBM (default)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1202.0,+71/-61,0.114,33.11,15.67,17.583,9.93,0.052,✔️,0.0,False,CPU
-39,🧠🔁,Neural Network,[FastaiMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1186.0,+76/-91,0.126,34.12,23.77,18.695,1666.78,7.827,✔️,0.0,False,CPU
-40,🌳,Tree-based,[ExtraTrees (tuned)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1185.0,+79/-88,0.148,34.18,18.0,19.691,497.58,0.163,✔️,0.0,False,CPU
-41,🧠🔁,Neural Network,[TorchMLP (tuned)](https://arxiv.org/abs/2003.06505),1184.0,+58/-71,0.131,34.22,25.42,17.208,3693.32,0.131,✔️,0.0,False,CPU
-42,🌳,Tree-based,[RandomForest (tuned + ensembled)](https://link.springer.com/article/10.1023/A:1010933404324),1147.0,+75/-81,0.096,36.64,27.49,20.42,575.62,1.155,✔️,0.0,False,CPU
-43,🌳,Tree-based,[LightGBM (default)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1136.0,+57/-67,0.079,37.29,31.48,18.612,3.63,0.218,✔️,0.0,False,CPU
-44,🧠🔁,Neural Network,[FastaiMLP (tuned)](https://arxiv.org/abs/2003.06505),1128.0,+67/-91,0.091,37.78,25.08,19.921,1666.78,0.561,✔️,0.0,False,CPU
-45,🌳,Tree-based,[XGBoost (default)](https://arxiv.org/abs/1603.02754),1126.0,+53/-65,0.048,37.92,32.72,18.524,3.1,0.207,✔️,0.0,False,CPU
-46,🌳,Tree-based,[RandomForest (tuned)](https://link.springer.com/article/10.1023/A:1010933404324),1096.0,+60/-69,0.05,39.69,33.43,21.432,575.62,0.147,✔️,0.0,False,CPU
-47,❓,Other,[xRFM (default)](https://arxiv.org/abs/2508.10053),1044.0,+92/-100,0.064,42.67,25.58,23.257,6.09,0.951,✔️,0.0,False,GPU
-48,🧠🔁,Neural Network,[TorchMLP (default)](https://arxiv.org/abs/2003.06505),1014.0,+64/-97,0.026,44.22,38.69,23.054,12.68,0.155,✔️,0.0,False,CPU
-49,🧠⚡,Foundation Model,[TabFlex (default) [22.22% IMPUTED]](https://arxiv.org/abs/2506.05584),1009.0,+76/-86,0.049,44.44,35.71,25.516,1.59,0.149,➖,22.22,True,GPU
-50,🌳,Tree-based,[RandomForest (default)](https://link.springer.com/article/10.1023/A:1010933404324),1000.0,+69/-87,0.02,44.9,36.07,25.971,0.51,0.085,✔️,0.0,False,CPU
-51,🌳,Tree-based,[ExtraTrees (default)](https://link.springer.com/article/10.1007/s10994-006-6226-1),992.0,+75/-79,0.019,45.28,40.93,26.736,0.43,0.081,✔️,0.0,False,CPU
-52,🧠🔁,Neural Network,[FastaiMLP (default)](https://arxiv.org/abs/2003.06505),980.0,+56/-82,0.022,45.86,42.25,24.045,5.83,0.571,✔️,0.0,False,CPU
-53,📏,Baseline,[KNN (tuned + ensembled)](https://scikit-learn.org/stable/modules/neighbors.html),968.0,+69/-118,0.029,46.42,39.78,27.027,116.3,1.243,✔️,0.0,False,CPU
-54,📏,Baseline,[Linear (tuned + ensembled)](https://scikit-learn.org/stable/modules/linear_model.html),890.0,+84/-106,0.028,49.65,21.2,32.488,520.62,0.491,✔️,0.0,False,CPU
-55,📏,Baseline,[Linear (tuned)](https://scikit-learn.org/stable/modules/linear_model.html),864.0,+94/-114,0.024,50.56,30.39,33.0,520.62,0.097,✔️,0.0,False,CPU
-56,📏,Baseline,[Linear (default)](https://scikit-learn.org/stable/modules/linear_model.html),826.0,+102/-147,0.011,51.81,47.74,35.769,2.59,0.129,✔️,0.0,False,CPU
-57,📏,Baseline,[KNN (tuned)](https://scikit-learn.org/stable/modules/neighbors.html),802.0,+80/-132,0.017,52.5,49.71,33.024,116.3,0.075,✔️,0.0,False,CPU
-58,📏,Baseline,[KNN (default)](https://scikit-learn.org/stable/modules/neighbors.html),606.0,+95/-190,0.0,56.64,56.21,45.176,0.37,0.035,✔️,0.0,False,CPU
diff --git a/data/imputation_yes/splits_lite/tasks_all/datasets_small/winrate_matrix.png.zip b/data/imputation_yes/splits_lite/tasks_all/datasets_small/winrate_matrix.png.zip
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-#,Type,TypeName,Model,Elo [⬆️],Elo 95% CI,Score [⬆️],Rank [⬇️],Harmonic Rank [⬇️],Improvability (%) [⬇️],Median Train Time (s/1K) [⬇️],Median Predict Time (s/1K) [⬇️],Verified,Imputed (%) [⬇️],Imputed,Hardware
-0,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned + ensembled)](https://arxiv.org/abs/2511.08667),1647.0,+123/-84,0.68,8.58,2.71,4.175,2200.35,8.314,✔️,0.0,False,GPU
-1,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (default)](https://arxiv.org/abs/2511.08667),1626.0,+85/-70,0.622,9.35,5.67,7.065,6.21,0.561,✔️,0.0,False,GPU
-2,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned)](https://arxiv.org/abs/2511.08667),1595.0,+112/-88,0.599,10.58,4.3,6.692,2200.35,0.882,✔️,0.0,False,GPU
-3,📊,Reference Pipeline,"[AutoGluon 1.4 (extreme, 4h)](https://arxiv.org/abs/2003.06505)",1567.0,+96/-80,0.577,11.79,4.89,7.982,625.63,7.662,✔️,0.0,False,GPU
-4,🧠⚡,Foundation Model,[TabPFNv2 (tuned + ensembled)](https://www.nature.com/articles/s41586-024-08328-6),1533.0,+100/-76,0.514,13.38,5.51,9.632,3650.56,52.333,✔️,0.0,False,GPU
-5,🧠🔁,Neural Network,[RealMLP (tuned + ensembled)](https://arxiv.org/abs/2407.04491),1530.0,+71/-56,0.485,13.52,7.52,10.676,3565.03,23.942,✔️,0.0,False,GPU
-6,📊,Reference Pipeline,"[AutoGluon 1.4 (best, 4h)](https://arxiv.org/abs/2003.06505)",1485.0,+61/-50,0.423,15.85,8.85,10.911,3035.75,1.498,✔️,0.0,False,CPU
-7,🧠🔁,Neural Network,[Mitra (default)](https://arxiv.org/abs/2510.21204),1482.0,+83/-67,0.43,15.98,7.5,10.885,137.76,3.046,✔️,0.0,False,GPU
-8,🧠🔁,Neural Network,[LimiX (default)](https://arxiv.org/abs/2509.03505),1468.0,+91/-79,0.459,16.8,5.9,13.013,4.66,0.611,➖,0.0,False,GPU
-9,🧠⚡,Foundation Model,[TabDPT (tuned + ensembled)](https://arxiv.org/abs/2410.18164),1459.0,+95/-74,0.457,17.27,5.0,10.452,7821.64,382.96,✔️,0.0,False,GPU
-10,🧠🔁,Neural Network,[RealMLP (tuned)](https://arxiv.org/abs/2407.04491),1453.0,+68/-64,0.397,17.62,9.23,12.039,3565.03,0.706,✔️,0.0,False,GPU
-11,🧠⚡,Foundation Model,[TabDPT (tuned)](https://arxiv.org/abs/2410.18164),1420.0,+107/-73,0.413,19.61,6.3,11.708,7821.64,39.414,✔️,0.0,False,GPU
-12,🧠⚡,Foundation Model,[TabPFNv2 (tuned)](https://www.nature.com/articles/s41586-024-08328-6),1411.0,+86/-73,0.355,20.15,10.73,12.201,3650.56,0.543,✔️,0.0,False,GPU
-13,🧠🔁,Neural Network,[TabM (tuned + ensembled)](https://arxiv.org/abs/2410.24210),1399.0,+79/-70,0.326,20.88,11.01,12.887,3407.57,1.449,✔️,0.0,False,GPU
-14,🌳,Tree-based,[LightGBM (tuned + ensembled)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1368.0,+60/-44,0.211,22.8,18.86,14.631,780.12,2.129,✔️,0.0,False,CPU
-15,🌳,Tree-based,[CatBoost (tuned + ensembled)](https://arxiv.org/abs/1706.09516),1360.0,+68/-60,0.233,23.35,17.15,14.299,2234.83,0.653,✔️,0.0,False,CPU
-16,🧠⚡,Foundation Model,[TabPFNv2 (default)](https://www.nature.com/articles/s41586-024-08328-6),1350.0,+85/-61,0.324,24.0,8.95,13.532,4.97,0.545,✔️,0.0,False,GPU
-17,🧠🔁,Neural Network,[TabM (tuned)](https://arxiv.org/abs/2410.24210),1332.0,+83/-70,0.252,25.17,16.03,13.965,3407.57,0.173,✔️,0.0,False,GPU
-18,❓,Other,[xRFM (tuned + ensembled)](https://arxiv.org/abs/2508.10053),1327.0,+74/-57,0.224,25.45,17.53,15.058,1216.65,2.007,✔️,0.0,False,GPU
-19,🌳,Tree-based,[CatBoost (tuned)](https://arxiv.org/abs/1706.09516),1326.0,+54/-50,0.196,25.52,19.79,14.923,2234.83,0.071,✔️,0.0,False,CPU
-20,🧠⚡,Foundation Model,[TabDPT (default)](https://arxiv.org/abs/2410.18164),1325.0,+103/-84,0.329,25.61,8.04,14.25,51.52,40.033,✔️,0.0,False,GPU
-21,🧠⚡,Foundation Model,[SAP-RPT-OSS (default)](https://arxiv.org/abs/2506.10707),1324.0,+82/-88,0.279,25.65,10.45,16.307,13.95,1.208,➖,0.0,False,GPU
-22,🧠🔁,Neural Network,[ModernNCA (tuned + ensembled)](https://arxiv.org/abs/2407.03257),1321.0,+92/-73,0.251,25.88,16.85,15.733,6308.39,7.737,✔️,0.0,False,GPU
-23,🌳,Tree-based,[XGBoost (tuned + ensembled)](https://arxiv.org/abs/1603.02754),1320.0,+49/-54,0.175,25.92,21.1,15.678,848.99,1.866,✔️,0.0,False,CPU
-24,🧠⚡,Foundation Model,[TabICL (default) [21.21% IMPUTED]](https://arxiv.org/abs/2502.05564),1315.0,+94/-96,0.276,26.29,7.62,14.435,7.68,1.615,✔️,21.21,True,GPU
-25,🧠🔁,Neural Network,[ModernNCA (tuned)](https://arxiv.org/abs/2407.03257),1312.0,+77/-83,0.222,26.48,12.68,14.889,6308.39,0.477,✔️,0.0,False,GPU
-26,🌳,Tree-based,[CatBoost (default)](https://arxiv.org/abs/1706.09516),1311.0,+58/-45,0.16,26.5,19.87,15.66,8.13,0.126,✔️,0.0,False,CPU
-27,🌳,Tree-based,[XGBoost (tuned)](https://arxiv.org/abs/1603.02754),1307.0,+60/-50,0.162,26.79,14.2,15.82,848.99,0.298,✔️,0.0,False,CPU
-28,🧠⚡,Foundation Model,[BetaTabPFN (default) [21.21% IMPUTED]](https://arxiv.org/abs/2502.02527),1304.0,+84/-85,0.235,26.97,15.47,16.996,277.28,1.727,➖,21.21,True,GPU
-29,🌳,Tree-based,[LightGBM (tuned)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1301.0,+71/-63,0.159,27.18,21.99,15.671,780.12,0.381,✔️,0.0,False,CPU
-30,🌳,Tree-based,[EBM (tuned + ensembled)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1289.0,+72/-67,0.17,27.97,16.29,16.838,2961.52,0.521,✔️,0.0,False,CPU
-31,🧠🔁,Neural Network,[RealMLP (default)](https://arxiv.org/abs/2407.04491),1285.0,+60/-54,0.16,28.27,17.99,15.815,16.29,4.082,✔️,0.0,False,GPU
-32,🧠🔁,Neural Network,[TabM (default)](https://arxiv.org/abs/2410.24210),1280.0,+76/-76,0.211,28.58,17.98,16.232,13.3,0.146,✔️,0.0,False,GPU
-33,❓,Other,[xRFM (tuned)](https://arxiv.org/abs/2508.10053),1271.0,+68/-65,0.158,29.2,20.68,16.037,1216.65,0.097,✔️,0.0,False,GPU
-34,🧠🔁,Neural Network,[TorchMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1246.0,+64/-62,0.144,30.82,23.66,16.297,3460.09,2.057,✔️,0.0,False,CPU
-35,🌳,Tree-based,[EBM (tuned)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1245.0,+73/-65,0.137,30.91,13.46,17.567,2961.52,0.054,✔️,0.0,False,CPU
-36,🧠🔁,Neural Network,[ModernNCA (default)](https://arxiv.org/abs/2407.03257),1220.0,+66/-59,0.115,32.5,14.1,19.358,14.5,0.3,✔️,0.0,False,GPU
-37,🌳,Tree-based,[EBM (default)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1219.0,+77/-78,0.109,32.61,14.98,18.183,9.77,0.046,✔️,0.0,False,CPU
-38,🧠🔁,Neural Network,[FastaiMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1201.0,+86/-84,0.134,33.74,23.06,19.428,1453.07,6.678,✔️,0.0,False,CPU
-39,🌳,Tree-based,[ExtraTrees (tuned + ensembled)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1195.0,+71/-76,0.104,34.17,26.43,20.536,418.39,0.972,✔️,0.0,False,CPU
-40,🧠🔁,Neural Network,[TorchMLP (tuned)](https://arxiv.org/abs/2003.06505),1179.0,+70/-60,0.106,35.15,28.2,17.9,3460.09,0.121,✔️,0.0,False,CPU
-41,🌳,Tree-based,[ExtraTrees (tuned)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1176.0,+75/-82,0.128,35.33,20.05,20.959,418.39,0.147,✔️,0.0,False,CPU
-42,🧠🔁,Neural Network,[FastaiMLP (tuned)](https://arxiv.org/abs/2003.06505),1140.0,+78/-86,0.098,37.61,24.33,20.713,1453.07,0.637,✔️,0.0,False,CPU
-43,🌳,Tree-based,[RandomForest (tuned + ensembled)](https://link.springer.com/article/10.1023/A:1010933404324),1133.0,+74/-94,0.07,38.0,28.81,21.857,563.93,0.997,✔️,0.0,False,CPU
-44,🌳,Tree-based,[XGBoost (default)](https://arxiv.org/abs/1603.02754),1120.0,+52/-60,0.026,38.79,35.75,19.796,2.86,0.19,✔️,0.0,False,CPU
-45,🌳,Tree-based,[LightGBM (default)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1111.0,+50/-65,0.037,39.29,35.92,20.033,3.28,0.179,✔️,0.0,False,CPU
-46,🌳,Tree-based,[RandomForest (tuned)](https://link.springer.com/article/10.1023/A:1010933404324),1092.0,+68/-84,0.043,40.42,33.86,22.761,563.93,0.149,✔️,0.0,False,CPU
-47,❓,Other,[xRFM (default)](https://arxiv.org/abs/2508.10053),1050.0,+88/-99,0.069,42.73,24.73,24.517,5.55,0.867,✔️,0.0,False,GPU
-48,🧠⚡,Foundation Model,[TabFlex (default) [21.21% IMPUTED]](https://arxiv.org/abs/2506.05584),1023.0,+81/-92,0.053,44.12,34.93,26.178,1.29,0.149,➖,21.21,True,GPU
-49,🧠🔁,Neural Network,[TorchMLP (default)](https://arxiv.org/abs/2003.06505),1011.0,+78/-76,0.028,44.7,38.87,24.002,9.39,0.15,✔️,0.0,False,CPU
-50,🌳,Tree-based,[RandomForest (default)](https://link.springer.com/article/10.1023/A:1010933404324),1000.0,+82/-103,0.022,45.24,35.81,26.75,0.48,0.074,✔️,0.0,False,CPU
-51,🌳,Tree-based,[ExtraTrees (default)](https://link.springer.com/article/10.1007/s10994-006-6226-1),994.0,+86/-111,0.02,45.52,40.92,27.387,0.38,0.075,✔️,0.0,False,CPU
-52,🧠🔁,Neural Network,[FastaiMLP (default)](https://arxiv.org/abs/2003.06505),983.0,+74/-93,0.024,46.03,42.24,24.643,5.2,0.522,✔️,0.0,False,CPU
-53,📏,Baseline,[KNN (tuned + ensembled)](https://scikit-learn.org/stable/modules/neighbors.html),957.0,+73/-82,0.007,47.21,44.48,28.217,101.2,1.135,✔️,0.0,False,CPU
-54,📏,Baseline,[Linear (tuned + ensembled)](https://scikit-learn.org/stable/modules/linear_model.html),912.0,+86/-110,0.03,49.06,20.06,32.259,497.63,0.481,✔️,0.0,False,CPU
-55,📏,Baseline,[Linear (tuned)](https://scikit-learn.org/stable/modules/linear_model.html),888.0,+84/-105,0.026,49.95,29.15,32.749,497.63,0.084,✔️,0.0,False,CPU
-56,📏,Baseline,[Linear (default)](https://scikit-learn.org/stable/modules/linear_model.html),851.0,+100/-118,0.012,51.21,46.96,35.015,2.47,0.121,✔️,0.0,False,CPU
-57,📏,Baseline,[KNN (tuned)](https://scikit-learn.org/stable/modules/neighbors.html),772.0,+84/-108,0.0,53.48,52.79,34.522,101.2,0.065,✔️,0.0,False,CPU
-58,📏,Baseline,[KNN (default)](https://scikit-learn.org/stable/modules/neighbors.html),624.0,+105/-164,0.0,56.48,56.03,45.393,0.28,0.026,✔️,0.0,False,CPU
diff --git a/data/imputation_yes/splits_lite/tasks_all/datasets_tabpfn/winrate_matrix.png.zip b/data/imputation_yes/splits_lite/tasks_all/datasets_tabpfn/winrate_matrix.png.zip
deleted file mode 100644
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-#,Type,TypeName,Model,Elo [⬆️],Elo 95% CI,Score [⬆️],Rank [⬇️],Harmonic Rank [⬇️],Improvability (%) [⬇️],Median Train Time (s/1K) [⬇️],Median Predict Time (s/1K) [⬇️],Verified,Imputed (%) [⬇️],Imputed,Hardware
-0,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned + ensembled)](https://arxiv.org/abs/2511.08667),1567.0,+108/-75,0.59,10.73,3.68,5.636,1877.76,10.745,✔️,0.0,False,GPU
-1,📊,Reference Pipeline,"[AutoGluon 1.4 (extreme, 4h)](https://arxiv.org/abs/2003.06505)",1561.0,+113/-88,0.622,11.0,3.7,6.142,442.6,6.737,✔️,0.0,False,GPU
-2,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (default)](https://arxiv.org/abs/2511.08667),1547.0,+97/-69,0.571,11.63,6.26,7.006,4.79,0.708,✔️,0.0,False,GPU
-3,📊,Reference Pipeline,"[AutoGluon 1.4 (best, 4h)](https://arxiv.org/abs/2003.06505)",1546.0,+103/-71,0.567,11.67,4.92,7.435,1231.21,1.36,✔️,0.0,False,CPU
-4,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned)](https://arxiv.org/abs/2511.08667),1537.0,+103/-63,0.552,12.08,5.26,6.667,1877.76,1.035,✔️,0.0,False,GPU
-5,🧠🔁,Neural Network,[RealMLP (tuned + ensembled)](https://arxiv.org/abs/2407.04491),1500.0,+70/-60,0.479,13.9,8.76,9.187,2721.85,9.311,✔️,0.0,False,GPU
-6,🧠🔁,Neural Network,[RealMLP (tuned)](https://arxiv.org/abs/2407.04491),1424.0,+76/-72,0.39,18.22,8.45,11.154,2721.85,0.265,✔️,0.0,False,GPU
-7,🧠🔁,Neural Network,[TabM (tuned + ensembled)](https://arxiv.org/abs/2410.24210),1411.0,+81/-64,0.382,18.97,7.51,11.026,2180.12,1.135,✔️,0.0,False,GPU
-8,🧠⚡,Foundation Model,[TabICL (default) [3.33% IMPUTED]](https://arxiv.org/abs/2502.05564),1394.0,+82/-68,0.351,20.05,7.3,10.012,8.05,2.008,✔️,3.33,True,GPU
-9,🌳,Tree-based,[LightGBM (tuned + ensembled)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1388.0,+52/-50,0.295,20.45,14.54,12.615,328.64,0.774,✔️,0.0,False,CPU
-10,🧠⚡,Foundation Model,[TabDPT (tuned + ensembled)](https://arxiv.org/abs/2410.18164),1374.0,+73/-61,0.344,21.33,7.86,9.545,5890.6,409.986,✔️,0.0,False,GPU
-11,🌳,Tree-based,[CatBoost (default)](https://arxiv.org/abs/1706.09516),1368.0,+63/-50,0.306,21.7,10.61,12.209,3.84,0.068,✔️,0.0,False,CPU
-12,🌳,Tree-based,[XGBoost (tuned + ensembled)](https://arxiv.org/abs/1603.02754),1367.0,+70/-69,0.305,21.78,11.59,13.18,462.92,0.613,✔️,0.0,False,CPU
-13,🧠🔁,Neural Network,[ModernNCA (tuned)](https://arxiv.org/abs/2407.03257),1366.0,+86/-76,0.334,21.82,10.15,12.046,3436.74,0.405,✔️,0.0,False,GPU
-14,🧠🔁,Neural Network,[LimiX (default) [16.67% IMPUTED]](https://arxiv.org/abs/2509.03505),1363.0,+93/-83,0.366,22.05,6.24,13.114,1.95,0.488,➖,16.67,True,GPU
-15,🌳,Tree-based,[CatBoost (tuned + ensembled)](https://arxiv.org/abs/1706.09516),1359.0,+69/-73,0.303,22.28,12.75,12.343,1043.89,0.478,✔️,0.0,False,CPU
-16,🧠🔁,Neural Network,[ModernNCA (tuned + ensembled)](https://arxiv.org/abs/2407.03257),1350.0,+94/-96,0.355,22.92,8.39,12.196,3436.74,8.478,✔️,0.0,False,GPU
-17,🧠🔁,Neural Network,[TabM (tuned)](https://arxiv.org/abs/2410.24210),1339.0,+84/-71,0.307,23.62,12.26,12.161,2180.12,0.117,✔️,0.0,False,GPU
-18,🌳,Tree-based,[CatBoost (tuned)](https://arxiv.org/abs/1706.09516),1333.0,+56/-60,0.277,24.02,14.86,12.867,1043.89,0.041,✔️,0.0,False,CPU
-19,🧠⚡,Foundation Model,[BetaTabPFN (default)](https://arxiv.org/abs/2502.02527),1332.0,+95/-64,0.278,24.07,13.76,14.412,248.47,1.7,➖,0.0,False,GPU
-20,🌳,Tree-based,[XGBoost (tuned)](https://arxiv.org/abs/1603.02754),1331.0,+76/-78,0.267,24.13,10.6,13.559,462.92,0.108,✔️,0.0,False,CPU
-21,🧠⚡,Foundation Model,[TabDPT (tuned)](https://arxiv.org/abs/2410.18164),1331.0,+74/-80,0.281,24.15,9.51,11.754,5890.6,39.565,✔️,0.0,False,GPU
-22,🌳,Tree-based,[LightGBM (tuned)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1320.0,+58/-61,0.234,24.9,19.67,13.786,328.64,0.089,✔️,0.0,False,CPU
-23,🧠⚡,Foundation Model,[TabPFNv2 (tuned + ensembled) [33.33% IMPUTED]](https://www.nature.com/articles/s41586-024-08328-6),1314.0,+93/-79,0.305,25.32,10.04,14.164,2914.83,17.91,✔️,33.33,True,GPU
-24,🌳,Tree-based,[EBM (tuned + ensembled)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1312.0,+67/-58,0.214,25.43,15.75,14.601,1579.5,0.428,✔️,0.0,False,CPU
-25,❓,Other,[xRFM (tuned + ensembled)](https://arxiv.org/abs/2508.10053),1304.0,+68/-83,0.225,26.0,17.3,13.468,559.77,1.513,✔️,0.0,False,GPU
-26,🧠🔁,Neural Network,[RealMLP (default)](https://arxiv.org/abs/2407.04491),1299.0,+57/-52,0.178,26.33,17.02,13.707,9.04,1.162,✔️,0.0,False,GPU
-27,🧠🔁,Neural Network,[Mitra (default) [33.33% IMPUTED]](https://arxiv.org/abs/2510.21204),1296.0,+100/-78,0.272,26.5,9.34,14.387,106.33,2.667,✔️,33.33,True,GPU
-28,🧠🔁,Neural Network,[TabM (default)](https://arxiv.org/abs/2410.24210),1285.0,+88/-78,0.243,27.27,18.09,14.697,8.0,0.124,✔️,0.0,False,GPU
-29,🧠🔁,Neural Network,[TorchMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1273.0,+73/-54,0.181,28.1,20.65,13.865,2206.58,2.301,✔️,0.0,False,CPU
-30,🧠⚡,Foundation Model,[TabPFNv2 (tuned) [33.33% IMPUTED]](https://www.nature.com/articles/s41586-024-08328-6),1262.0,+90/-73,0.22,28.87,13.73,15.933,2914.83,0.225,✔️,33.33,True,GPU
-31,❓,Other,[xRFM (tuned)](https://arxiv.org/abs/2508.10053),1259.0,+63/-70,0.148,29.05,20.45,15.134,559.77,0.086,✔️,0.0,False,GPU
-32,🌳,Tree-based,[EBM (tuned)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1258.0,+68/-56,0.14,29.1,13.89,15.369,1579.5,0.05,✔️,0.0,False,CPU
-33,🌳,Tree-based,[EBM (default)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1252.0,+71/-60,0.151,29.57,13.61,16.377,4.79,0.045,✔️,0.0,False,CPU
-34,🧠⚡,Foundation Model,[SAP-RPT-OSS (default)](https://arxiv.org/abs/2506.10707),1238.0,+85/-82,0.167,30.48,14.8,16.859,13.07,3.169,➖,0.0,False,GPU
-35,🧠⚡,Foundation Model,[TabDPT (default)](https://arxiv.org/abs/2410.18164),1221.0,+71/-90,0.18,31.65,11.57,14.951,47.89,39.446,✔️,0.0,False,GPU
-36,🧠🔁,Neural Network,[FastaiMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1216.0,+76/-89,0.14,31.95,22.12,16.897,561.29,4.462,✔️,0.0,False,CPU
-37,🧠⚡,Foundation Model,[TabPFNv2 (default) [33.33% IMPUTED]](https://www.nature.com/articles/s41586-024-08328-6),1215.0,+77/-78,0.196,32.05,10.51,17.278,2.61,0.256,✔️,33.33,True,GPU
-38,🌳,Tree-based,[XGBoost (default)](https://arxiv.org/abs/1603.02754),1201.0,+86/-79,0.145,33.0,18.98,16.455,1.42,0.118,✔️,0.0,False,CPU
-39,🧠🔁,Neural Network,[TorchMLP (tuned)](https://arxiv.org/abs/2003.06505),1191.0,+76/-69,0.133,33.63,26.36,16.272,2206.58,0.107,✔️,0.0,False,CPU
-40,🧠🔁,Neural Network,[ModernNCA (default)](https://arxiv.org/abs/2407.03257),1189.0,+63/-62,0.112,33.82,13.75,17.287,11.15,0.312,✔️,0.0,False,GPU
-41,🌳,Tree-based,[ExtraTrees (tuned + ensembled)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1174.0,+74/-64,0.08,34.82,28.29,18.237,122.9,0.583,✔️,0.0,False,CPU
-42,🌳,Tree-based,[RandomForest (tuned + ensembled)](https://link.springer.com/article/10.1023/A:1010933404324),1142.0,+67/-83,0.062,36.87,30.49,19.635,171.61,0.552,✔️,0.0,False,CPU
-43,🧠🔁,Neural Network,[FastaiMLP (tuned)](https://arxiv.org/abs/2003.06505),1137.0,+79/-100,0.096,37.17,24.06,19.002,561.29,0.236,✔️,0.0,False,CPU
-44,🌳,Tree-based,[LightGBM (default)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1136.0,+64/-66,0.085,37.25,32.36,17.467,0.93,0.094,✔️,0.0,False,CPU
-45,🌳,Tree-based,[ExtraTrees (tuned)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1130.0,+78/-75,0.086,37.6,21.71,19.849,122.9,0.072,✔️,0.0,False,CPU
-46,🌳,Tree-based,[RandomForest (tuned)](https://link.springer.com/article/10.1023/A:1010933404324),1107.0,+62/-66,0.021,39.02,35.27,20.285,171.61,0.053,✔️,0.0,False,CPU
-47,🧠🔁,Neural Network,[TorchMLP (default)](https://arxiv.org/abs/2003.06505),1044.0,+72/-70,0.035,42.67,36.64,21.546,4.97,0.092,✔️,0.0,False,CPU
-48,🧠⚡,Foundation Model,[TabFlex (default)](https://arxiv.org/abs/2506.05584),1008.0,+103/-123,0.059,44.57,34.4,26.685,0.81,0.115,➖,0.0,False,GPU
-49,🌳,Tree-based,[RandomForest (default)](https://link.springer.com/article/10.1023/A:1010933404324),1000.0,+76/-91,0.024,44.98,34.88,24.447,0.29,0.031,✔️,0.0,False,CPU
-50,🧠🔁,Neural Network,[FastaiMLP (default)](https://arxiv.org/abs/2003.06505),998.0,+73/-92,0.032,45.1,40.86,22.018,2.79,0.259,✔️,0.0,False,CPU
-51,📏,Baseline,[KNN (tuned + ensembled)](https://scikit-learn.org/stable/modules/neighbors.html),990.0,+63/-92,0.006,45.47,43.27,24.644,140.66,3.209,✔️,0.0,False,CPU
-52,📏,Baseline,[Linear (tuned + ensembled)](https://scikit-learn.org/stable/modules/linear_model.html),972.0,+92/-126,0.041,46.33,18.24,28.274,155.53,0.277,✔️,0.0,False,CPU
-53,📏,Baseline,[Linear (tuned)](https://scikit-learn.org/stable/modules/linear_model.html),941.0,+95/-132,0.03,47.72,26.9,28.935,155.53,0.05,✔️,0.0,False,CPU
-54,❓,Other,[xRFM (default)](https://arxiv.org/abs/2508.10053),930.0,+91/-114,0.036,48.2,42.13,27.199,2.71,0.392,✔️,0.0,False,GPU
-55,🌳,Tree-based,[ExtraTrees (default)](https://link.springer.com/article/10.1007/s10994-006-6226-1),924.0,+91/-112,0.016,48.43,44.11,26.269,0.18,0.035,✔️,0.0,False,CPU
-56,📏,Baseline,[Linear (default)](https://scikit-learn.org/stable/modules/linear_model.html),904.0,+96/-113,0.013,49.27,45.08,30.667,0.8,0.088,✔️,0.0,False,CPU
-57,📏,Baseline,[KNN (tuned)](https://scikit-learn.org/stable/modules/neighbors.html),826.0,+62/-94,0.0,51.97,51.19,30.916,140.66,0.188,✔️,0.0,False,CPU
-58,📏,Baseline,[KNN (default)](https://scikit-learn.org/stable/modules/neighbors.html),584.0,+95/-207,0.0,57.0,56.7,43.999,0.15,0.024,✔️,0.0,False,CPU
diff --git a/data/imputation_yes/splits_lite/tasks_binary/datasets_all/winrate_matrix.png.zip b/data/imputation_yes/splits_lite/tasks_binary/datasets_all/winrate_matrix.png.zip
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diff --git a/data/imputation_yes/splits_lite/tasks_binary/datasets_medium/website_leaderboard.csv b/data/imputation_yes/splits_lite/tasks_binary/datasets_medium/website_leaderboard.csv
deleted file mode 100644
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-#,Type,TypeName,Model,Elo [⬆️],Elo 95% CI,Score [⬆️],Rank [⬇️],Harmonic Rank [⬇️],Improvability (%) [⬇️],Median Train Time (s/1K) [⬇️],Median Predict Time (s/1K) [⬇️],Verified,Imputed (%) [⬇️],Imputed,Hardware
-0,📊,Reference Pipeline,"[AutoGluon 1.4 (best, 4h)](https://arxiv.org/abs/2003.06505)",2059.0,+224/-66,0.861,3.44,2.17,1.559,310.55,1.824,✔️,0.0,False,CPU
-1,📊,Reference Pipeline,"[AutoGluon 1.4 (extreme, 4h)](https://arxiv.org/abs/2003.06505)",1998.0,+267/-81,0.836,4.33,2.22,2.117,256.14,2.868,✔️,0.0,False,GPU
-2,🧠🔁,Neural Network,[ModernNCA (tuned + ensembled)](https://arxiv.org/abs/2407.03257),1747.0,+277/-164,0.62,10.89,3.85,4.475,2149.06,6.373,✔️,0.0,False,GPU
-3,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned + ensembled)](https://arxiv.org/abs/2511.08667),1729.0,+224/-164,0.531,11.56,4.13,5.896,841.84,11.882,✔️,0.0,False,GPU
-4,🧠🔁,Neural Network,[RealMLP (tuned + ensembled)](https://arxiv.org/abs/2407.04491),1718.0,+130/-47,0.523,12.0,8.92,5.584,1655.56,2.483,✔️,0.0,False,GPU
-5,🌳,Tree-based,[XGBoost (tuned + ensembled)](https://arxiv.org/abs/1603.02754),1712.0,+188/-104,0.466,12.22,8.36,7.366,114.48,0.404,✔️,0.0,False,CPU
-6,🌳,Tree-based,[CatBoost (tuned + ensembled)](https://arxiv.org/abs/1706.09516),1693.0,+204/-110,0.522,13.0,7.63,6.578,618.23,0.184,✔️,0.0,False,CPU
-7,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned)](https://arxiv.org/abs/2511.08667),1676.0,+227/-137,0.456,13.67,7.64,7.894,841.84,1.263,✔️,0.0,False,GPU
-8,🧠🔁,Neural Network,[TabM (tuned + ensembled)](https://arxiv.org/abs/2410.24210),1671.0,+206/-117,0.481,13.89,5.15,7.403,807.72,0.575,✔️,0.0,False,GPU
-9,🌳,Tree-based,[CatBoost (tuned)](https://arxiv.org/abs/1706.09516),1665.0,+166/-100,0.493,14.17,8.72,6.676,618.23,0.031,✔️,0.0,False,CPU
-10,🌳,Tree-based,[LightGBM (tuned + ensembled)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1661.0,+192/-107,0.435,14.33,10.26,8.502,87.3,0.533,✔️,0.0,False,CPU
-11,🧠🔁,Neural Network,[ModernNCA (tuned)](https://arxiv.org/abs/2407.03257),1646.0,+181/-120,0.422,15.0,10.65,9.317,2149.06,0.318,✔️,0.0,False,GPU
-12,🌳,Tree-based,[CatBoost (default)](https://arxiv.org/abs/1706.09516),1639.0,+150/-82,0.465,15.28,5.61,6.592,2.12,0.043,✔️,0.0,False,CPU
-13,🌳,Tree-based,[XGBoost (tuned)](https://arxiv.org/abs/1603.02754),1618.0,+166/-114,0.407,16.22,10.92,7.688,114.48,0.058,✔️,0.0,False,CPU
-14,🧠🔁,Neural Network,[RealMLP (tuned)](https://arxiv.org/abs/2407.04491),1611.0,+191/-109,0.4,16.56,9.4,8.195,1655.56,0.086,✔️,0.0,False,GPU
-15,🌳,Tree-based,[LightGBM (tuned)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1583.0,+181/-116,0.33,17.89,14.01,9.447,87.3,0.069,✔️,0.0,False,CPU
-16,🧠🔁,Neural Network,[TabM (tuned)](https://arxiv.org/abs/2410.24210),1580.0,+235/-167,0.4,18.0,8.38,8.051,807.72,0.07,✔️,0.0,False,GPU
-17,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (default)](https://arxiv.org/abs/2511.08667),1551.0,+185/-142,0.341,19.44,9.02,7.804,2.32,0.889,✔️,0.0,False,GPU
-18,🧠⚡,Foundation Model,[TabICL (default)](https://arxiv.org/abs/2502.05564),1537.0,+176/-159,0.296,20.11,11.74,9.501,9.96,4.847,✔️,0.0,False,GPU
-19,🧠🔁,Neural Network,[TabM (default)](https://arxiv.org/abs/2410.24210),1476.0,+178/-197,0.253,23.22,18.87,10.609,5.77,0.078,✔️,0.0,False,GPU
-20,🌳,Tree-based,[XGBoost (default)](https://arxiv.org/abs/1603.02754),1465.0,+176/-195,0.262,23.78,10.33,10.169,0.48,0.047,✔️,0.0,False,CPU
-21,🧠🔁,Neural Network,[TorchMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1465.0,+118/-68,0.182,23.78,19.38,9.923,1128.19,1.674,✔️,0.0,False,CPU
-22,❓,Other,[xRFM (tuned + ensembled)](https://arxiv.org/abs/2508.10053),1463.0,+155/-146,0.25,23.89,15.38,9.627,559.89,1.156,✔️,0.0,False,GPU
-23,🌳,Tree-based,[EBM (tuned + ensembled)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1448.0,+185/-125,0.22,24.67,20.52,13.232,262.92,0.205,✔️,0.0,False,CPU
-24,🧠⚡,Foundation Model,[TabDPT (tuned + ensembled)](https://arxiv.org/abs/2410.18164),1442.0,+172/-149,0.192,25.0,18.97,10.124,4560.06,421.968,✔️,0.0,False,GPU
-25,❓,Other,[xRFM (tuned)](https://arxiv.org/abs/2508.10053),1437.0,+160/-117,0.168,25.22,17.58,12.808,559.89,0.056,✔️,0.0,False,GPU
-26,🧠🔁,Neural Network,[RealMLP (default)](https://arxiv.org/abs/2407.04491),1414.0,+86/-76,0.095,26.44,23.98,11.884,6.55,0.295,✔️,0.0,False,GPU
-27,🧠🔁,Neural Network,[FastaiMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1383.0,+114/-154,0.113,28.11,22.57,12.385,368.88,2.507,✔️,0.0,False,CPU
-28,🧠⚡,Foundation Model,[TabDPT (tuned)](https://arxiv.org/abs/2410.18164),1365.0,+203/-172,0.134,29.06,19.19,13.822,4560.06,39.452,✔️,0.0,False,GPU
-29,🧠⚡,Foundation Model,[BetaTabPFN (default)](https://arxiv.org/abs/2502.02527),1342.0,+181/-183,0.13,30.22,19.37,13.509,92.9,0.786,➖,0.0,False,GPU
-30,🧠🔁,Neural Network,[LimiX (default) [55.56% IMPUTED]](https://arxiv.org/abs/2509.03505),1338.0,+246/-251,0.218,30.44,6.81,18.727,0.68,0.014,➖,55.56,True,GPU
-31,🌳,Tree-based,[EBM (default)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1327.0,+171/-121,0.082,31.0,27.8,16.195,0.92,0.018,✔️,0.0,False,CPU
-32,🌳,Tree-based,[EBM (tuned)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1321.0,+200/-154,0.101,31.33,25.68,14.917,262.92,0.015,✔️,0.0,False,CPU
-33,🧠🔁,Neural Network,[TorchMLP (tuned)](https://arxiv.org/abs/2003.06505),1310.0,+124/-143,0.087,31.89,27.96,13.503,1128.19,0.055,✔️,0.0,False,CPU
-34,🌳,Tree-based,[ExtraTrees (tuned + ensembled)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1299.0,+123/-159,0.039,32.44,29.07,13.474,40.45,0.331,✔️,0.0,False,CPU
-35,🌳,Tree-based,[RandomForest (tuned + ensembled)](https://link.springer.com/article/10.1023/A:1010933404324),1297.0,+55/-71,0.018,32.56,31.63,14.752,43.93,0.204,✔️,0.0,False,CPU
-36,🌳,Tree-based,[LightGBM (default)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1267.0,+113/-152,0.051,34.0,31.58,12.579,0.34,0.052,✔️,0.0,False,CPU
-37,🌳,Tree-based,[RandomForest (tuned)](https://link.springer.com/article/10.1023/A:1010933404324),1255.0,+50/-62,0.0,34.61,34.23,15.173,43.93,0.018,✔️,0.0,False,CPU
-38,🧠⚡,Foundation Model,[SAP-RPT-OSS (default)](https://arxiv.org/abs/2506.10707),1237.0,+124/-131,0.029,35.44,31.72,17.033,16.58,16.469,➖,0.0,False,GPU
-39,🧠🔁,Neural Network,[ModernNCA (default)](https://arxiv.org/abs/2407.03257),1230.0,+113/-126,0.019,35.78,34.15,14.121,9.93,0.224,✔️,0.0,False,GPU
-40,🧠⚡,Foundation Model,[TabDPT (default)](https://arxiv.org/abs/2410.18164),1210.0,+139/-216,0.023,36.72,32.83,18.236,41.8,39.131,✔️,0.0,False,GPU
-41,🌳,Tree-based,[ExtraTrees (tuned)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1190.0,+128/-151,0.02,37.67,34.69,17.071,40.45,0.028,✔️,0.0,False,CPU
-42,🧠🔁,Neural Network,[FastaiMLP (tuned)](https://arxiv.org/abs/2003.06505),1177.0,+110/-189,0.022,38.22,36.02,16.535,368.88,0.084,✔️,0.0,False,CPU
-43,🧠🔁,Neural Network,[TorchMLP (default)](https://arxiv.org/abs/2003.06505),1144.0,+104/-142,0.015,39.67,37.81,16.268,1.81,0.048,✔️,0.0,False,CPU
-44,📏,Baseline,[Linear (tuned + ensembled)](https://scikit-learn.org/stable/modules/linear_model.html),1102.0,+175/-273,0.021,41.39,36.9,25.579,43.96,0.099,✔️,0.0,False,CPU
-45,📏,Baseline,[KNN (tuned + ensembled)](https://scikit-learn.org/stable/modules/neighbors.html),1095.0,+114/-196,0.02,41.67,38.92,20.929,514.21,52.341,✔️,0.0,False,CPU
-46,🧠🔁,Neural Network,[FastaiMLP (default)](https://arxiv.org/abs/2003.06505),1062.0,+140/-242,0.028,42.89,39.38,19.282,1.61,0.113,✔️,0.0,False,CPU
-47,📏,Baseline,[Linear (tuned)](https://scikit-learn.org/stable/modules/linear_model.html),1055.0,+172/-260,0.003,43.17,39.98,26.315,43.96,0.024,✔️,0.0,False,CPU
-48,🌳,Tree-based,[RandomForest (default)](https://link.springer.com/article/10.1023/A:1010933404324),1000.0,+124/-271,0.0,45.06,43.95,22.467,0.11,0.012,✔️,0.0,False,CPU
-49,❓,Other,[xRFM (default)](https://arxiv.org/abs/2508.10053),895.0,+233/-623,0.027,48.11,40.81,30.82,2.77,0.157,✔️,0.0,False,GPU
-50,📏,Baseline,[Linear (default)](https://scikit-learn.org/stable/modules/linear_model.html),881.0,+98/-215,0.0,48.44,48.08,28.058,0.22,0.022,✔️,0.0,False,CPU
-51,🌳,Tree-based,[ExtraTrees (default)](https://link.springer.com/article/10.1007/s10994-006-6226-1),858.0,+106/-232,0.0,49.0,48.68,25.047,0.1,0.02,✔️,0.0,False,CPU
-52,📏,Baseline,[KNN (tuned)](https://scikit-learn.org/stable/modules/neighbors.html),853.0,+67/-160,0.0,49.11,48.79,28.846,514.21,2.49,✔️,0.0,False,CPU
-53,🧠⚡,Foundation Model,[TabFlex (default)](https://arxiv.org/abs/2506.05584),817.0,+121/-262,0.0,49.89,49.34,33.192,0.2,0.035,➖,0.0,False,GPU
-54,📏,Baseline,[KNN (default)](https://scikit-learn.org/stable/modules/neighbors.html),484.0,+96/-360,0.0,54.11,54.08,46.138,0.11,0.089,✔️,0.0,False,CPU
diff --git a/data/imputation_yes/splits_lite/tasks_binary/datasets_medium/winrate_matrix.png.zip b/data/imputation_yes/splits_lite/tasks_binary/datasets_medium/winrate_matrix.png.zip
deleted file mode 100644
index 24e49ab8daed39a78723187da15e51cbe224948b..0000000000000000000000000000000000000000
--- a/data/imputation_yes/splits_lite/tasks_binary/datasets_medium/winrate_matrix.png.zip
+++ /dev/null
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deleted file mode 100644
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diff --git a/data/imputation_yes/splits_lite/tasks_binary/datasets_small/pareto_front_improvability_vs_time_infer.png.zip b/data/imputation_yes/splits_lite/tasks_binary/datasets_small/pareto_front_improvability_vs_time_infer.png.zip
deleted file mode 100644
index c54b82e4ba9612040403e25cc1122ee1d8540b39..0000000000000000000000000000000000000000
--- a/data/imputation_yes/splits_lite/tasks_binary/datasets_small/pareto_front_improvability_vs_time_infer.png.zip
+++ /dev/null
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diff --git a/data/imputation_yes/splits_lite/tasks_binary/datasets_small/pareto_n_configs_imp.png.zip b/data/imputation_yes/splits_lite/tasks_binary/datasets_small/pareto_n_configs_imp.png.zip
deleted file mode 100644
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diff --git a/data/imputation_yes/splits_lite/tasks_binary/datasets_small/tuning-impact-elo.png.zip b/data/imputation_yes/splits_lite/tasks_binary/datasets_small/tuning-impact-elo.png.zip
deleted file mode 100644
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--- a/data/imputation_yes/splits_lite/tasks_binary/datasets_small/tuning-impact-elo.png.zip
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diff --git a/data/imputation_yes/splits_lite/tasks_binary/datasets_small/website_leaderboard.csv b/data/imputation_yes/splits_lite/tasks_binary/datasets_small/website_leaderboard.csv
deleted file mode 100644
index 2941715ed19c367788a90493e82ddbfe189dbeab..0000000000000000000000000000000000000000
--- a/data/imputation_yes/splits_lite/tasks_binary/datasets_small/website_leaderboard.csv
+++ /dev/null
@@ -1,60 +0,0 @@
-#,Type,TypeName,Model,Elo [⬆️],Elo 95% CI,Score [⬆️],Rank [⬇️],Harmonic Rank [⬇️],Improvability (%) [⬇️],Median Train Time (s/1K) [⬇️],Median Predict Time (s/1K) [⬇️],Verified,Imputed (%) [⬇️],Imputed,Hardware
-0,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (default)](https://arxiv.org/abs/2511.08667),1621.0,+96/-53,0.644,8.1,5.53,6.664,5.53,0.55,✔️,0.0,False,GPU
-1,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned + ensembled)](https://arxiv.org/abs/2511.08667),1560.0,+150/-85,0.605,10.38,3.52,5.525,2125.17,9.785,✔️,0.0,False,GPU
-2,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned)](https://arxiv.org/abs/2511.08667),1537.0,+139/-103,0.583,11.4,4.64,6.141,2125.17,0.882,✔️,0.0,False,GPU
-3,📊,Reference Pipeline,"[AutoGluon 1.4 (extreme, 4h)](https://arxiv.org/abs/2003.06505)",1486.0,+126/-93,0.523,13.86,5.19,7.867,613.33,8.472,✔️,0.0,False,GPU
-4,🧠🔁,Neural Network,[RealMLP (tuned + ensembled)](https://arxiv.org/abs/2407.04491),1469.0,+80/-85,0.44,14.71,8.7,10.731,2791.97,23.942,✔️,0.0,False,GPU
-5,📊,Reference Pipeline,"[AutoGluon 1.4 (best, 4h)](https://arxiv.org/abs/2003.06505)",1460.0,+89/-80,0.434,15.19,10.75,9.953,1886.83,1.333,✔️,0.0,False,CPU
-6,🧠⚡,Foundation Model,[TabPFNv2 (tuned + ensembled) [4.76% IMPUTED]](https://www.nature.com/articles/s41586-024-08328-6),1445.0,+143/-73,0.436,16.02,7.52,10.606,3275.74,52.333,✔️,4.76,True,GPU
-7,🧠🔁,Neural Network,[Mitra (default) [4.76% IMPUTED]](https://arxiv.org/abs/2510.21204),1416.0,+140/-66,0.388,17.69,6.96,10.924,145.41,3.958,✔️,4.76,True,GPU
-8,🧠🔁,Neural Network,[LimiX (default)](https://arxiv.org/abs/2509.03505),1412.0,+106/-80,0.425,17.93,6.01,10.708,4.14,0.557,➖,0.0,False,GPU
-9,🧠🔁,Neural Network,[RealMLP (tuned)](https://arxiv.org/abs/2407.04491),1399.0,+108/-73,0.364,18.74,8.09,12.422,2791.97,0.544,✔️,0.0,False,GPU
-10,🧠⚡,Foundation Model,[TabDPT (tuned + ensembled)](https://arxiv.org/abs/2410.18164),1382.0,+99/-80,0.383,19.76,6.28,9.297,6616.87,408.881,✔️,0.0,False,GPU
-11,🧠⚡,Foundation Model,[TabICL (default) [4.76% IMPUTED]](https://arxiv.org/abs/2502.05564),1378.0,+80/-86,0.351,20.02,6.28,10.231,7.68,1.811,✔️,4.76,True,GPU
-12,🧠⚡,Foundation Model,[BetaTabPFN (default)](https://arxiv.org/abs/2502.02527),1362.0,+114/-83,0.315,21.05,12.21,14.798,298.33,2.036,➖,0.0,False,GPU
-13,🧠⚡,Foundation Model,[TabPFNv2 (tuned) [4.76% IMPUTED]](https://www.nature.com/articles/s41586-024-08328-6),1361.0,+104/-67,0.314,21.1,10.56,13.132,3275.74,0.512,✔️,4.76,True,GPU
-14,🧠🔁,Neural Network,[TabM (tuned + ensembled)](https://arxiv.org/abs/2410.24210),1361.0,+103/-86,0.333,21.14,9.35,12.578,2237.77,1.273,✔️,0.0,False,GPU
-15,🧠⚡,Foundation Model,[TabDPT (tuned)](https://arxiv.org/abs/2410.18164),1350.0,+95/-90,0.338,21.86,7.81,10.868,6616.87,39.713,✔️,0.0,False,GPU
-16,🌳,Tree-based,[LightGBM (tuned + ensembled)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1331.0,+68/-53,0.221,23.07,17.7,14.378,512.11,1.17,✔️,0.0,False,CPU
-17,🌳,Tree-based,[CatBoost (default)](https://arxiv.org/abs/1706.09516),1310.0,+78/-59,0.215,24.45,17.2,14.616,4.51,0.124,✔️,0.0,False,CPU
-18,🧠🔁,Neural Network,[ModernNCA (tuned)](https://arxiv.org/abs/2407.03257),1306.0,+138/-85,0.28,24.74,9.94,13.216,4618.5,0.426,✔️,0.0,False,GPU
-19,🌳,Tree-based,[EBM (tuned + ensembled)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1296.0,+91/-84,0.194,25.38,14.28,15.188,1640.58,0.552,✔️,0.0,False,CPU
-20,🧠⚡,Foundation Model,[TabPFNv2 (default) [4.76% IMPUTED]](https://www.nature.com/articles/s41586-024-08328-6),1293.0,+109/-90,0.28,25.62,7.9,15.054,4.16,0.543,✔️,4.76,True,GPU
-21,🧠🔁,Neural Network,[TabM (tuned)](https://arxiv.org/abs/2410.24210),1290.0,+114/-104,0.257,25.83,15.27,13.922,2237.77,0.147,✔️,0.0,False,GPU
-22,🌳,Tree-based,[XGBoost (tuned + ensembled)](https://arxiv.org/abs/1603.02754),1289.0,+86/-78,0.218,25.88,13.89,15.671,700.96,0.743,✔️,0.0,False,CPU
-23,🧠🔁,Neural Network,[RealMLP (default)](https://arxiv.org/abs/2407.04491),1286.0,+77/-62,0.183,26.1,15.11,14.488,11.09,2.46,✔️,0.0,False,GPU
-24,🌳,Tree-based,[CatBoost (tuned + ensembled)](https://arxiv.org/abs/1706.09516),1283.0,+86/-83,0.192,26.26,17.89,14.814,1103.84,0.559,✔️,0.0,False,CPU
-25,❓,Other,[xRFM (tuned + ensembled)](https://arxiv.org/abs/2508.10053),1274.0,+83/-85,0.208,26.9,18.29,15.114,536.23,1.738,✔️,0.0,False,GPU
-26,🌳,Tree-based,[XGBoost (tuned)](https://arxiv.org/abs/1603.02754),1265.0,+79/-75,0.188,27.52,10.47,16.075,700.96,0.203,✔️,0.0,False,CPU
-27,🌳,Tree-based,[EBM (tuned)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1261.0,+78/-66,0.145,27.76,11.58,15.562,1640.58,0.059,✔️,0.0,False,CPU
-28,🌳,Tree-based,[LightGBM (tuned)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1259.0,+68/-71,0.175,27.9,23.79,15.646,512.11,0.122,✔️,0.0,False,CPU
-29,🧠⚡,Foundation Model,[SAP-RPT-OSS (default)](https://arxiv.org/abs/2506.10707),1258.0,+106/-116,0.226,27.98,12.02,16.785,8.99,1.724,➖,0.0,False,GPU
-30,🧠🔁,Neural Network,[ModernNCA (tuned + ensembled)](https://arxiv.org/abs/2407.03257),1256.0,+114/-91,0.234,28.07,16.97,15.505,4618.5,9.218,✔️,0.0,False,GPU
-31,🌳,Tree-based,[CatBoost (tuned)](https://arxiv.org/abs/1706.09516),1254.0,+84/-78,0.166,28.24,21.28,15.521,1103.84,0.051,✔️,0.0,False,CPU
-32,🌳,Tree-based,[EBM (default)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1249.0,+88/-84,0.161,28.57,11.15,16.455,7.16,0.046,✔️,0.0,False,CPU
-33,🧠🔁,Neural Network,[TabM (default)](https://arxiv.org/abs/2410.24210),1246.0,+97/-85,0.22,28.81,17.75,16.449,11.3,0.149,✔️,0.0,False,GPU
-34,🧠⚡,Foundation Model,[TabDPT (default)](https://arxiv.org/abs/2410.18164),1244.0,+107/-102,0.237,28.9,9.03,13.544,52.04,39.82,✔️,0.0,False,GPU
-35,🧠🔁,Neural Network,[TorchMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1229.0,+97/-89,0.177,29.95,21.25,15.554,2535.0,2.546,✔️,0.0,False,CPU
-36,❓,Other,[xRFM (tuned)](https://arxiv.org/abs/2508.10053),1221.0,+86/-95,0.138,30.5,21.94,16.131,536.23,0.097,✔️,0.0,False,GPU
-37,🧠🔁,Neural Network,[ModernNCA (default)](https://arxiv.org/abs/2407.03257),1187.0,+108/-106,0.132,32.79,10.94,18.644,13.39,0.329,✔️,0.0,False,GPU
-38,🧠🔁,Neural Network,[FastaiMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1178.0,+100/-110,0.146,33.4,21.89,18.831,650.63,5.616,✔️,0.0,False,CPU
-39,🧠🔁,Neural Network,[TorchMLP (tuned)](https://arxiv.org/abs/2003.06505),1169.0,+94/-91,0.147,34.0,25.6,17.459,2535.0,0.112,✔️,0.0,False,CPU
-40,🌳,Tree-based,[ExtraTrees (tuned + ensembled)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1140.0,+85/-95,0.094,35.83,27.97,20.279,206.04,0.946,✔️,0.0,False,CPU
-41,🧠🔁,Neural Network,[FastaiMLP (tuned)](https://arxiv.org/abs/2003.06505),1133.0,+103/-150,0.123,36.33,20.99,20.059,650.63,0.442,✔️,0.0,False,CPU
-42,🌳,Tree-based,[XGBoost (default)](https://arxiv.org/abs/1603.02754),1126.0,+81/-86,0.082,36.76,29.54,19.149,1.98,0.122,✔️,0.0,False,CPU
-43,🌳,Tree-based,[ExtraTrees (tuned)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1119.0,+110/-111,0.114,37.19,18.64,21.039,206.04,0.098,✔️,0.0,False,CPU
-44,🌳,Tree-based,[LightGBM (default)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1099.0,+76/-92,0.079,38.45,32.63,19.563,2.47,0.168,✔️,0.0,False,CPU
-45,🌳,Tree-based,[RandomForest (tuned + ensembled)](https://link.springer.com/article/10.1023/A:1010933404324),1098.0,+92/-105,0.079,38.52,29.91,21.728,494.48,0.936,✔️,0.0,False,CPU
-46,🌳,Tree-based,[RandomForest (tuned)](https://link.springer.com/article/10.1023/A:1010933404324),1061.0,+84/-100,0.028,40.71,35.55,22.476,494.48,0.093,✔️,0.0,False,CPU
-47,🧠⚡,Foundation Model,[TabFlex (default)](https://arxiv.org/abs/2506.05584),1050.0,+113/-149,0.084,41.33,30.16,23.895,1.29,0.149,➖,0.0,False,GPU
-48,🧠🔁,Neural Network,[TorchMLP (default)](https://arxiv.org/abs/2003.06505),1010.0,+89/-132,0.044,43.57,35.95,23.809,7.76,0.147,✔️,0.0,False,CPU
-49,🌳,Tree-based,[RandomForest (default)](https://link.springer.com/article/10.1023/A:1010933404324),1000.0,+104/-148,0.034,44.1,31.6,25.296,0.39,0.041,✔️,0.0,False,CPU
-50,🧠🔁,Neural Network,[FastaiMLP (default)](https://arxiv.org/abs/2003.06505),976.0,+85/-125,0.03,45.29,41.0,23.191,3.48,0.427,✔️,0.0,False,CPU
-51,🌳,Tree-based,[ExtraTrees (default)](https://link.springer.com/article/10.1007/s10994-006-6226-1),948.0,+119/-145,0.023,46.67,41.36,26.793,0.33,0.044,✔️,0.0,False,CPU
-52,📏,Baseline,[KNN (tuned + ensembled)](https://scikit-learn.org/stable/modules/neighbors.html),947.0,+71/-116,0.0,46.71,45.09,26.237,89.61,1.627,✔️,0.0,False,CPU
-53,❓,Other,[xRFM (default)](https://arxiv.org/abs/2508.10053),947.0,+98/-141,0.04,46.71,41.79,25.646,2.66,0.702,✔️,0.0,False,GPU
-54,📏,Baseline,[Linear (tuned + ensembled)](https://scikit-learn.org/stable/modules/linear_model.html),925.0,+111/-152,0.048,47.69,14.93,29.429,280.42,0.382,✔️,0.0,False,CPU
-55,📏,Baseline,[Linear (default)](https://scikit-learn.org/stable/modules/linear_model.html),902.0,+119/-171,0.019,48.67,43.2,31.785,1.48,0.127,✔️,0.0,False,CPU
-56,📏,Baseline,[Linear (tuned)](https://scikit-learn.org/stable/modules/linear_model.html),896.0,+119/-156,0.04,48.9,23.45,30.058,280.42,0.072,✔️,0.0,False,CPU
-57,📏,Baseline,[KNN (tuned)](https://scikit-learn.org/stable/modules/neighbors.html),794.0,+88/-140,0.0,52.43,51.57,31.804,89.61,0.08,✔️,0.0,False,CPU
-58,📏,Baseline,[KNN (default)](https://scikit-learn.org/stable/modules/neighbors.html),606.0,+105/-182,0.0,56.52,56.13,43.082,0.24,0.02,✔️,0.0,False,CPU
diff --git a/data/imputation_yes/splits_lite/tasks_binary/datasets_small/winrate_matrix.png.zip b/data/imputation_yes/splits_lite/tasks_binary/datasets_small/winrate_matrix.png.zip
deleted file mode 100644
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diff --git a/data/imputation_yes/splits_lite/tasks_binary/datasets_tabpfn/pareto_front_improvability_vs_time_infer.png.zip b/data/imputation_yes/splits_lite/tasks_binary/datasets_tabpfn/pareto_front_improvability_vs_time_infer.png.zip
deleted file mode 100644
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diff --git a/data/imputation_yes/splits_lite/tasks_binary/datasets_tabpfn/website_leaderboard.csv b/data/imputation_yes/splits_lite/tasks_binary/datasets_tabpfn/website_leaderboard.csv
deleted file mode 100644
index ad0d5b94633c5368981d7b7cca58e58c3a012162..0000000000000000000000000000000000000000
--- a/data/imputation_yes/splits_lite/tasks_binary/datasets_tabpfn/website_leaderboard.csv
+++ /dev/null
@@ -1,60 +0,0 @@
-#,Type,TypeName,Model,Elo [⬆️],Elo 95% CI,Score [⬆️],Rank [⬇️],Harmonic Rank [⬇️],Improvability (%) [⬇️],Median Train Time (s/1K) [⬇️],Median Predict Time (s/1K) [⬇️],Verified,Imputed (%) [⬇️],Imputed,Hardware
-0,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (default)](https://arxiv.org/abs/2511.08667),1641.0,+95/-63,0.637,7.95,5.4,6.865,5.25,0.517,✔️,0.0,False,GPU
-1,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned + ensembled)](https://arxiv.org/abs/2511.08667),1565.0,+152/-97,0.586,10.85,4.02,5.801,2092.56,8.655,✔️,0.0,False,GPU
-2,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned)](https://arxiv.org/abs/2511.08667),1554.0,+136/-99,0.574,11.32,4.49,6.297,2092.56,0.867,✔️,0.0,False,GPU
-3,📊,Reference Pipeline,"[AutoGluon 1.4 (extreme, 4h)](https://arxiv.org/abs/2003.06505)",1491.0,+127/-79,0.504,14.4,5.38,8.203,598.6,8.421,✔️,0.0,False,GPU
-4,🧠🔁,Neural Network,[RealMLP (tuned + ensembled)](https://arxiv.org/abs/2407.04491),1490.0,+91/-80,0.441,14.45,8.46,10.934,2773.9,21.391,✔️,0.0,False,GPU
-5,🧠⚡,Foundation Model,[TabPFNv2 (tuned + ensembled)](https://www.nature.com/articles/s41586-024-08328-6),1473.0,+126/-90,0.457,15.32,7.25,10.58,3361.32,65.579,✔️,0.0,False,GPU
-6,📊,Reference Pipeline,"[AutoGluon 1.4 (best, 4h)](https://arxiv.org/abs/2003.06505)",1468.0,+84/-74,0.412,15.6,11.04,10.37,1881.65,1.26,✔️,0.0,False,CPU
-7,🧠🔁,Neural Network,[Mitra (default)](https://arxiv.org/abs/2510.21204),1442.0,+115/-71,0.408,17.08,6.7,10.913,145.75,4.071,✔️,0.0,False,GPU
-8,🧠🔁,Neural Network,[LimiX (default)](https://arxiv.org/abs/2509.03505),1426.0,+122/-82,0.419,18.02,5.83,10.972,4.09,0.544,➖,0.0,False,GPU
-9,🧠🔁,Neural Network,[RealMLP (tuned)](https://arxiv.org/abs/2407.04491),1418.0,+117/-96,0.369,18.52,7.84,12.618,2773.9,0.534,✔️,0.0,False,GPU
-10,🧠⚡,Foundation Model,[TabICL (default)](https://arxiv.org/abs/2502.05564),1401.0,+117/-74,0.368,19.52,6.04,10.185,8.05,1.864,✔️,0.0,False,GPU
-11,🧠⚡,Foundation Model,[BetaTabPFN (default)](https://arxiv.org/abs/2502.02527),1400.0,+114/-90,0.331,19.6,11.77,14.276,292.15,1.882,➖,0.0,False,GPU
-12,🧠⚡,Foundation Model,[TabDPT (tuned + ensembled)](https://arxiv.org/abs/2410.18164),1399.0,+133/-83,0.382,19.7,6.07,9.42,6408.95,397.026,✔️,0.0,False,GPU
-13,🧠🔁,Neural Network,[TabM (tuned + ensembled)](https://arxiv.org/abs/2410.24210),1387.0,+115/-87,0.349,20.4,9.02,12.618,2217.3,1.258,✔️,0.0,False,GPU
-14,🧠⚡,Foundation Model,[TabPFNv2 (tuned)](https://www.nature.com/articles/s41586-024-08328-6),1383.0,+125/-87,0.33,20.65,10.22,13.232,3361.32,0.527,✔️,0.0,False,GPU
-15,🧠⚡,Foundation Model,[TabDPT (tuned)](https://arxiv.org/abs/2410.18164),1367.0,+128/-92,0.346,21.7,7.55,10.945,6408.95,39.606,✔️,0.0,False,GPU
-16,🧠🔁,Neural Network,[ModernNCA (tuned)](https://arxiv.org/abs/2407.03257),1333.0,+107/-76,0.294,23.92,9.58,13.112,4442.23,0.405,✔️,0.0,False,GPU
-17,🌳,Tree-based,[LightGBM (tuned + ensembled)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1332.0,+58/-49,0.188,23.98,20.28,15.024,457.0,1.064,✔️,0.0,False,CPU
-18,🌳,Tree-based,[EBM (tuned + ensembled)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1320.0,+82/-77,0.204,24.8,13.85,15.346,1618.79,0.502,✔️,0.0,False,CPU
-19,🌳,Tree-based,[CatBoost (default)](https://arxiv.org/abs/1706.09516),1314.0,+76/-59,0.186,25.18,17.84,15.224,4.49,0.115,✔️,0.0,False,CPU
-20,🧠🔁,Neural Network,[TabM (tuned)](https://arxiv.org/abs/2410.24210),1313.0,+110/-88,0.27,25.22,14.83,13.982,2217.3,0.137,✔️,0.0,False,GPU
-21,🧠🔁,Neural Network,[RealMLP (default)](https://arxiv.org/abs/2407.04491),1312.0,+79/-70,0.192,25.3,14.64,14.446,10.77,2.16,✔️,0.0,False,GPU
-22,🧠⚡,Foundation Model,[TabPFNv2 (default)](https://www.nature.com/articles/s41586-024-08328-6),1311.0,+103/-98,0.294,25.4,7.62,15.25,3.89,0.544,✔️,0.0,False,GPU
-23,🌳,Tree-based,[XGBoost (tuned + ensembled)](https://arxiv.org/abs/1603.02754),1286.0,+83/-74,0.18,27.08,19.76,16.445,673.88,0.681,✔️,0.0,False,CPU
-24,🌳,Tree-based,[CatBoost (tuned + ensembled)](https://arxiv.org/abs/1706.09516),1285.0,+84/-79,0.16,27.12,18.82,15.452,1103.74,0.549,✔️,0.0,False,CPU
-25,❓,Other,[xRFM (tuned + ensembled)](https://arxiv.org/abs/2508.10053),1280.0,+87/-92,0.185,27.5,18.49,15.662,516.54,1.513,✔️,0.0,False,GPU
-26,🌳,Tree-based,[EBM (default)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1276.0,+80/-90,0.169,27.75,10.75,16.268,6.77,0.046,✔️,0.0,False,CPU
-27,🧠🔁,Neural Network,[ModernNCA (tuned + ensembled)](https://arxiv.org/abs/2407.03257),1276.0,+99/-108,0.246,27.78,16.56,15.707,4442.23,8.478,✔️,0.0,False,GPU
-28,🌳,Tree-based,[EBM (tuned)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1274.0,+84/-80,0.152,27.85,11.27,15.789,1618.79,0.055,✔️,0.0,False,CPU
-29,🧠🔁,Neural Network,[TabM (default)](https://arxiv.org/abs/2410.24210),1271.0,+120/-110,0.231,28.05,17.24,16.267,10.18,0.149,✔️,0.0,False,GPU
-30,🧠⚡,Foundation Model,[SAP-RPT-OSS (default)](https://arxiv.org/abs/2506.10707),1268.0,+108/-108,0.22,28.28,11.75,17.243,8.92,1.501,➖,0.0,False,GPU
-31,🧠⚡,Foundation Model,[TabDPT (default)](https://arxiv.org/abs/2410.18164),1266.0,+137/-121,0.249,28.4,8.7,13.464,51.78,39.866,✔️,0.0,False,GPU
-32,🌳,Tree-based,[LightGBM (tuned)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1263.0,+76/-64,0.148,28.6,24.65,16.249,457.0,0.111,✔️,0.0,False,CPU
-33,🌳,Tree-based,[XGBoost (tuned)](https://arxiv.org/abs/1603.02754),1262.0,+74/-66,0.153,28.7,11.39,16.819,673.88,0.177,✔️,0.0,False,CPU
-34,🧠🔁,Neural Network,[TorchMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1253.0,+97/-86,0.185,29.3,20.73,15.396,2533.55,2.301,✔️,0.0,False,CPU
-35,🌳,Tree-based,[CatBoost (tuned)](https://arxiv.org/abs/1706.09516),1252.0,+87/-53,0.131,29.35,24.38,16.217,1103.74,0.05,✔️,0.0,False,CPU
-36,❓,Other,[xRFM (tuned)](https://arxiv.org/abs/2508.10053),1226.0,+80/-86,0.12,31.12,22.18,16.637,516.54,0.086,✔️,0.0,False,GPU
-37,🧠🔁,Neural Network,[ModernNCA (default)](https://arxiv.org/abs/2407.03257),1212.0,+83/-118,0.139,32.08,10.53,18.467,11.78,0.312,✔️,0.0,False,GPU
-38,🧠🔁,Neural Network,[FastaiMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1201.0,+96/-120,0.154,32.78,21.33,18.721,622.79,5.389,✔️,0.0,False,CPU
-39,🧠🔁,Neural Network,[TorchMLP (tuned)](https://arxiv.org/abs/2003.06505),1194.0,+98/-95,0.155,33.25,25.0,17.128,2533.55,0.11,✔️,0.0,False,CPU
-40,🧠🔁,Neural Network,[FastaiMLP (tuned)](https://arxiv.org/abs/2003.06505),1156.0,+98/-137,0.129,35.75,20.42,19.935,622.79,0.398,✔️,0.0,False,CPU
-41,🌳,Tree-based,[ExtraTrees (tuned + ensembled)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1141.0,+95/-85,0.075,36.67,28.64,20.989,204.47,0.853,✔️,0.0,False,CPU
-42,🌳,Tree-based,[ExtraTrees (tuned)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1123.0,+117/-109,0.108,37.85,18.44,21.645,204.47,0.091,✔️,0.0,False,CPU
-43,🌳,Tree-based,[XGBoost (default)](https://arxiv.org/abs/1603.02754),1117.0,+81/-93,0.043,38.2,34.13,20.016,1.88,0.121,✔️,0.0,False,CPU
-44,🌳,Tree-based,[RandomForest (tuned + ensembled)](https://link.springer.com/article/10.1023/A:1010933404324),1094.0,+95/-124,0.057,39.6,31.09,22.532,448.77,0.841,✔️,0.0,False,CPU
-45,🌳,Tree-based,[LightGBM (default)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1091.0,+80/-102,0.045,39.78,35.69,20.402,2.39,0.159,✔️,0.0,False,CPU
-46,🧠⚡,Foundation Model,[TabFlex (default)](https://arxiv.org/abs/2506.05584),1076.0,+103/-158,0.088,40.65,29.49,23.197,1.17,0.148,➖,0.0,False,GPU
-47,🌳,Tree-based,[RandomForest (tuned)](https://link.springer.com/article/10.1023/A:1010933404324),1066.0,+92/-107,0.03,41.25,35.88,23.044,448.77,0.092,✔️,0.0,False,CPU
-48,🧠🔁,Neural Network,[TorchMLP (default)](https://arxiv.org/abs/2003.06505),1033.0,+109/-126,0.046,43.1,35.38,23.554,7.36,0.138,✔️,0.0,False,CPU
-49,🌳,Tree-based,[RandomForest (default)](https://link.springer.com/article/10.1023/A:1010933404324),1000.0,+99/-165,0.036,44.8,31.69,26.004,0.37,0.04,✔️,0.0,False,CPU
-50,🧠🔁,Neural Network,[FastaiMLP (default)](https://arxiv.org/abs/2003.06505),997.0,+107/-123,0.031,44.95,40.57,22.94,3.3,0.395,✔️,0.0,False,CPU
-51,📏,Baseline,[KNN (tuned + ensembled)](https://scikit-learn.org/stable/modules/neighbors.html),965.0,+65/-115,0.001,46.5,44.83,26.281,89.46,1.579,✔️,0.0,False,CPU
-52,❓,Other,[xRFM (default)](https://arxiv.org/abs/2508.10053),953.0,+119/-157,0.042,47.05,41.88,26.17,2.66,0.553,✔️,0.0,False,GPU
-53,🌳,Tree-based,[ExtraTrees (default)](https://link.springer.com/article/10.1007/s10994-006-6226-1),948.0,+120/-158,0.025,47.25,41.74,27.548,0.29,0.041,✔️,0.0,False,CPU
-54,📏,Baseline,[Linear (tuned + ensembled)](https://scikit-learn.org/stable/modules/linear_model.html),948.0,+116/-129,0.05,47.28,14.4,29.0,276.0,0.368,✔️,0.0,False,CPU
-55,📏,Baseline,[Linear (default)](https://scikit-learn.org/stable/modules/linear_model.html),928.0,+104/-142,0.02,48.15,42.62,31.115,1.45,0.123,✔️,0.0,False,CPU
-56,📏,Baseline,[Linear (tuned)](https://scikit-learn.org/stable/modules/linear_model.html),921.0,+122/-141,0.042,48.45,22.77,29.565,276.0,0.065,✔️,0.0,False,CPU
-57,📏,Baseline,[KNN (tuned)](https://scikit-learn.org/stable/modules/neighbors.html),811.0,+79/-142,0.0,52.35,51.45,31.853,89.46,0.075,✔️,0.0,False,CPU
-58,📏,Baseline,[KNN (default)](https://scikit-learn.org/stable/modules/neighbors.html),622.0,+109/-264,0.0,56.5,56.09,43.289,0.22,0.02,✔️,0.0,False,CPU
diff --git a/data/imputation_yes/splits_lite/tasks_binary/datasets_tabpfn/winrate_matrix.png.zip b/data/imputation_yes/splits_lite/tasks_binary/datasets_tabpfn/winrate_matrix.png.zip
deleted file mode 100644
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--- a/data/imputation_yes/splits_lite/tasks_binary/datasets_tabpfn/winrate_matrix.png.zip
+++ /dev/null
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deleted file mode 100644
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diff --git a/data/imputation_yes/splits_lite/tasks_classification/datasets_all/pareto_front_improvability_vs_time_infer.png.zip b/data/imputation_yes/splits_lite/tasks_classification/datasets_all/pareto_front_improvability_vs_time_infer.png.zip
deleted file mode 100644
index badc59b20855b8733c7811e1f61d4095cf2084ba..0000000000000000000000000000000000000000
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diff --git a/data/imputation_yes/splits_lite/tasks_classification/datasets_all/tuning-impact-elo.png.zip b/data/imputation_yes/splits_lite/tasks_classification/datasets_all/tuning-impact-elo.png.zip
deleted file mode 100644
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diff --git a/data/imputation_yes/splits_lite/tasks_classification/datasets_all/website_leaderboard.csv b/data/imputation_yes/splits_lite/tasks_classification/datasets_all/website_leaderboard.csv
deleted file mode 100644
index f14790f02699380dff1c1d7ffbc82074306e8e9b..0000000000000000000000000000000000000000
--- a/data/imputation_yes/splits_lite/tasks_classification/datasets_all/website_leaderboard.csv
+++ /dev/null
@@ -1,60 +0,0 @@
-#,Type,TypeName,Model,Elo [⬆️],Elo 95% CI,Score [⬆️],Rank [⬇️],Harmonic Rank [⬇️],Improvability (%) [⬇️],Median Train Time (s/1K) [⬇️],Median Predict Time (s/1K) [⬇️],Verified,Imputed (%) [⬇️],Imputed,Hardware
-0,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned + ensembled)](https://arxiv.org/abs/2511.08667),1589.0,+104/-82,0.635,9.74,2.93,4.83,2063.62,9.938,✔️,0.0,False,GPU
-1,📊,Reference Pipeline,"[AutoGluon 1.4 (extreme, 4h)](https://arxiv.org/abs/2003.06505)",1574.0,+91/-78,0.642,10.34,3.97,7.182,521.51,7.239,✔️,0.0,False,GPU
-2,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned)](https://arxiv.org/abs/2511.08667),1553.0,+97/-78,0.58,11.24,5.12,7.35,2063.62,1.087,✔️,0.0,False,GPU
-3,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (default)](https://arxiv.org/abs/2511.08667),1536.0,+80/-69,0.562,12.04,6.28,7.714,5.62,0.771,✔️,0.0,False,GPU
-4,📊,Reference Pipeline,"[AutoGluon 1.4 (best, 4h)](https://arxiv.org/abs/2003.06505)",1523.0,+91/-61,0.553,12.66,4.78,8.832,1815.7,1.456,✔️,0.0,False,CPU
-5,🧠🔁,Neural Network,[RealMLP (tuned + ensembled)](https://arxiv.org/abs/2407.04491),1479.0,+56/-49,0.462,14.89,7.89,10.513,2773.9,16.363,✔️,0.0,False,GPU
-6,🧠🔁,Neural Network,[RealMLP (tuned)](https://arxiv.org/abs/2407.04491),1413.0,+53/-51,0.381,18.72,9.36,12.166,2773.9,0.39,✔️,0.0,False,GPU
-7,🧠🔁,Neural Network,[TabM (tuned + ensembled)](https://arxiv.org/abs/2410.24210),1402.0,+77/-58,0.37,19.39,8.33,12.641,2461.81,1.283,✔️,0.0,False,GPU
-8,🌳,Tree-based,[LightGBM (tuned + ensembled)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1388.0,+59/-44,0.3,20.3,14.29,13.379,391.23,1.243,✔️,0.0,False,CPU
-9,🧠🔁,Neural Network,[LimiX (default) [15.79% IMPUTED]](https://arxiv.org/abs/2509.03505),1383.0,+73/-75,0.385,20.61,6.62,12.947,3.46,0.517,➖,15.79,True,GPU
-10,🧠⚡,Foundation Model,[TabDPT (tuned + ensembled)](https://arxiv.org/abs/2410.18164),1372.0,+95/-59,0.351,21.34,8.42,11.63,6067.13,404.225,✔️,0.0,False,GPU
-11,🌳,Tree-based,[CatBoost (tuned + ensembled)](https://arxiv.org/abs/1706.09516),1369.0,+71/-54,0.314,21.51,13.2,12.907,1326.58,0.531,✔️,0.0,False,CPU
-12,🧠⚡,Foundation Model,[TabICL (default) [5.26% IMPUTED]](https://arxiv.org/abs/2502.05564),1366.0,+80/-74,0.334,21.71,7.54,12.807,9.07,2.008,✔️,5.26,True,GPU
-13,🌳,Tree-based,[XGBoost (tuned + ensembled)](https://arxiv.org/abs/1603.02754),1358.0,+69/-71,0.287,22.2,12.86,13.973,682.62,0.971,✔️,0.0,False,CPU
-14,🧠🔁,Neural Network,[ModernNCA (tuned)](https://arxiv.org/abs/2407.03257),1349.0,+66/-68,0.303,22.79,11.41,13.402,4853.07,0.473,✔️,0.0,False,GPU
-15,🌳,Tree-based,[CatBoost (tuned)](https://arxiv.org/abs/1706.09516),1346.0,+66/-55,0.29,23.01,15.02,13.432,1326.58,0.051,✔️,0.0,False,CPU
-16,🌳,Tree-based,[CatBoost (default)](https://arxiv.org/abs/1706.09516),1345.0,+48/-54,0.276,23.08,12.1,13.55,5.74,0.107,✔️,0.0,False,CPU
-17,🧠🔁,Neural Network,[TabM (tuned)](https://arxiv.org/abs/2410.24210),1342.0,+84/-62,0.309,23.25,12.35,13.609,2461.81,0.138,✔️,0.0,False,GPU
-18,🧠🔁,Neural Network,[ModernNCA (tuned + ensembled)](https://arxiv.org/abs/2407.03257),1340.0,+95/-82,0.327,23.39,9.6,13.448,4853.07,9.386,✔️,0.0,False,GPU
-19,🌳,Tree-based,[LightGBM (tuned)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1332.0,+66/-46,0.252,23.95,17.83,14.32,391.23,0.186,✔️,0.0,False,CPU
-20,🧠⚡,Foundation Model,[TabPFNv2 (tuned + ensembled) [31.58% IMPUTED]](https://www.nature.com/articles/s41586-024-08328-6),1331.0,+92/-78,0.334,23.99,9.13,15.007,2914.83,17.597,✔️,31.58,True,GPU
-21,🌳,Tree-based,[XGBoost (tuned)](https://arxiv.org/abs/1603.02754),1330.0,+64/-67,0.259,24.08,11.87,14.222,682.62,0.183,✔️,0.0,False,CPU
-22,🧠⚡,Foundation Model,[TabDPT (tuned)](https://arxiv.org/abs/2410.18164),1321.0,+76/-75,0.286,24.67,8.56,13.66,6067.13,39.565,✔️,0.0,False,GPU
-23,🧠🔁,Neural Network,[Mitra (default) [31.58% IMPUTED]](https://arxiv.org/abs/2510.21204),1314.0,+84/-82,0.295,25.13,10.02,15.339,118.41,2.667,✔️,31.58,True,GPU
-24,🧠⚡,Foundation Model,[BetaTabPFN (default)](https://arxiv.org/abs/2502.02527),1312.0,+67/-57,0.26,25.32,15.02,15.997,250.94,2.036,➖,0.0,False,GPU
-25,❓,Other,[xRFM (tuned + ensembled)](https://arxiv.org/abs/2508.10053),1308.0,+69/-58,0.239,25.55,14.77,14.71,1053.72,2.067,✔️,0.0,False,GPU
-26,🌳,Tree-based,[EBM (tuned + ensembled)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1303.0,+63/-52,0.21,25.87,15.87,15.784,2399.23,0.558,✔️,0.0,False,CPU
-27,🧠🔁,Neural Network,[TabM (default)](https://arxiv.org/abs/2410.24210),1281.0,+70/-65,0.24,27.42,17.62,16.264,10.31,0.136,✔️,0.0,False,GPU
-28,🧠⚡,Foundation Model,[TabPFNv2 (tuned) [31.58% IMPUTED]](https://www.nature.com/articles/s41586-024-08328-6),1271.0,+77/-75,0.232,28.05,14.04,16.721,2914.83,0.271,✔️,31.58,True,GPU
-29,🧠🔁,Neural Network,[TorchMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1263.0,+56/-52,0.173,28.63,21.8,15.515,2480.32,2.175,✔️,0.0,False,CPU
-30,🧠🔁,Neural Network,[RealMLP (default)](https://arxiv.org/abs/2407.04491),1259.0,+65/-50,0.154,28.92,19.04,16.137,10.77,1.787,✔️,0.0,False,GPU
-31,❓,Other,[xRFM (tuned)](https://arxiv.org/abs/2508.10053),1257.0,+70/-58,0.166,29.01,13.77,16.368,1053.72,0.105,✔️,0.0,False,GPU
-32,🌳,Tree-based,[EBM (tuned)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1249.0,+65/-50,0.147,29.61,15.31,16.707,2399.23,0.056,✔️,0.0,False,CPU
-33,🧠⚡,Foundation Model,[SAP-RPT-OSS (default)](https://arxiv.org/abs/2506.10707),1248.0,+63/-89,0.209,29.67,12.67,17.661,13.62,1.985,➖,0.0,False,GPU
-34,🌳,Tree-based,[EBM (default)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1241.0,+58/-53,0.151,30.13,15.3,17.609,6.77,0.052,✔️,0.0,False,CPU
-35,🧠⚡,Foundation Model,[TabPFNv2 (default) [31.58% IMPUTED]](https://www.nature.com/articles/s41586-024-08328-6),1237.0,+81/-79,0.216,30.41,11.03,17.473,3.3,0.305,✔️,31.58,True,GPU
-36,🧠⚡,Foundation Model,[TabDPT (default)](https://arxiv.org/abs/2410.18164),1211.0,+81/-70,0.187,32.17,11.39,16.869,47.89,39.446,✔️,0.0,False,GPU
-37,🧠🔁,Neural Network,[FastaiMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1208.0,+68/-90,0.146,32.36,22.16,18.74,622.79,5.037,✔️,0.0,False,CPU
-38,🌳,Tree-based,[XGBoost (default)](https://arxiv.org/abs/1603.02754),1194.0,+66/-70,0.13,33.32,20.66,17.316,1.88,0.121,✔️,0.0,False,CPU
-39,🌳,Tree-based,[ExtraTrees (tuned + ensembled)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1193.0,+62/-64,0.115,33.37,23.42,18.948,197.16,0.721,✔️,0.0,False,CPU
-40,🧠🔁,Neural Network,[TorchMLP (tuned)](https://arxiv.org/abs/2003.06505),1191.0,+69/-63,0.134,33.47,25.21,17.8,2480.32,0.117,✔️,0.0,False,CPU
-41,🧠🔁,Neural Network,[ModernNCA (default)](https://arxiv.org/abs/2407.03257),1169.0,+65/-61,0.094,34.93,15.83,19.393,13.35,0.353,✔️,0.0,False,GPU
-42,🌳,Tree-based,[RandomForest (tuned + ensembled)](https://link.springer.com/article/10.1023/A:1010933404324),1167.0,+66/-71,0.105,35.08,24.99,19.874,327.31,0.708,✔️,0.0,False,CPU
-43,🌳,Tree-based,[ExtraTrees (tuned)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1154.0,+64/-74,0.114,35.91,19.62,20.247,197.16,0.083,✔️,0.0,False,CPU
-44,🌳,Tree-based,[LightGBM (default)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1141.0,+58/-62,0.094,36.72,30.92,18.628,2.25,0.159,✔️,0.0,False,CPU
-45,🧠🔁,Neural Network,[FastaiMLP (tuned)](https://arxiv.org/abs/2003.06505),1125.0,+68/-78,0.093,37.74,25.37,20.748,622.79,0.346,✔️,0.0,False,CPU
-46,🌳,Tree-based,[RandomForest (tuned)](https://link.springer.com/article/10.1023/A:1010933404324),1125.0,+59/-60,0.058,37.78,30.86,20.709,327.31,0.085,✔️,0.0,False,CPU
-47,🧠🔁,Neural Network,[TorchMLP (default)](https://arxiv.org/abs/2003.06505),1030.0,+60/-80,0.028,43.29,38.01,23.445,5.73,0.148,✔️,0.0,False,CPU
-48,🌳,Tree-based,[RandomForest (default)](https://link.springer.com/article/10.1023/A:1010933404324),1000.0,+63/-87,0.019,44.83,36.23,26.787,0.37,0.038,✔️,0.0,False,CPU
-49,📏,Baseline,[KNN (tuned + ensembled)](https://scikit-learn.org/stable/modules/neighbors.html),995.0,+72/-102,0.032,45.08,38.64,27.556,140.66,2.876,✔️,0.0,False,CPU
-50,🧠🔁,Neural Network,[FastaiMLP (default)](https://arxiv.org/abs/2003.06505),984.0,+71/-68,0.03,45.61,41.47,24.653,3.12,0.334,✔️,0.0,False,CPU
-51,🧠⚡,Foundation Model,[TabFlex (default)](https://arxiv.org/abs/2506.05584),970.0,+82/-134,0.046,46.26,37.07,29.787,1.04,0.192,➖,0.0,False,GPU
-52,❓,Other,[xRFM (default)](https://arxiv.org/abs/2508.10053),966.0,+89/-92,0.04,46.47,40.22,27.581,3.48,0.677,✔️,0.0,False,GPU
-53,📏,Baseline,[Linear (tuned + ensembled)](https://scikit-learn.org/stable/modules/linear_model.html),960.0,+83/-101,0.032,46.75,20.96,31.022,256.15,0.36,✔️,0.0,False,CPU
-54,📏,Baseline,[Linear (tuned)](https://scikit-learn.org/stable/modules/linear_model.html),932.0,+89/-108,0.024,47.97,29.64,31.745,256.15,0.07,✔️,0.0,False,CPU
-55,🌳,Tree-based,[ExtraTrees (default)](https://link.springer.com/article/10.1007/s10994-006-6226-1),918.0,+77/-108,0.014,48.55,44.5,29.31,0.24,0.037,✔️,0.0,False,CPU
-56,📏,Baseline,[Linear (default)](https://scikit-learn.org/stable/modules/linear_model.html),872.0,+90/-107,0.01,50.29,46.68,34.338,1.32,0.117,✔️,0.0,False,CPU
-57,📏,Baseline,[KNN (tuned)](https://scikit-learn.org/stable/modules/neighbors.html),819.0,+94/-115,0.016,52.0,49.29,35.052,140.66,0.188,✔️,0.0,False,CPU
-58,📏,Baseline,[KNN (default)](https://scikit-learn.org/stable/modules/neighbors.html),538.0,+116/-143,0.0,57.42,57.17,49.668,0.18,0.028,✔️,0.0,False,CPU
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-#,Type,TypeName,Model,Elo [⬆️],Elo 95% CI,Score [⬆️],Rank [⬇️],Harmonic Rank [⬇️],Improvability (%) [⬇️],Median Train Time (s/1K) [⬇️],Median Predict Time (s/1K) [⬇️],Verified,Imputed (%) [⬇️],Imputed,Hardware
-0,📊,Reference Pipeline,"[AutoGluon 1.4 (best, 4h)](https://arxiv.org/abs/2003.06505)",2025.0,+174/-74,0.868,3.3,2.15,1.576,307.34,2.186,✔️,0.0,False,CPU
-1,📊,Reference Pipeline,"[AutoGluon 1.4 (extreme, 4h)](https://arxiv.org/abs/2003.06505)",1961.0,+218/-69,0.844,4.2,2.28,2.126,266.49,2.963,✔️,0.0,False,GPU
-2,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned + ensembled)](https://arxiv.org/abs/2511.08667),1712.0,+268/-137,0.578,10.5,3.14,5.306,780.95,11.64,✔️,0.0,False,GPU
-3,🧠🔁,Neural Network,[ModernNCA (tuned + ensembled)](https://arxiv.org/abs/2407.03257),1684.0,+242/-165,0.603,11.5,4.17,5.366,2335.82,14.145,✔️,0.0,False,GPU
-4,🌳,Tree-based,[XGBoost (tuned + ensembled)](https://arxiv.org/abs/1603.02754),1664.0,+156/-105,0.474,12.3,8.67,7.774,202.53,0.43,✔️,0.0,False,CPU
-5,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned)](https://arxiv.org/abs/2511.08667),1654.0,+243/-120,0.499,12.7,7.0,7.407,780.95,1.493,✔️,0.0,False,GPU
-6,🌳,Tree-based,[CatBoost (tuned + ensembled)](https://arxiv.org/abs/1706.09516),1649.0,+176/-93,0.524,12.9,7.92,7.059,688.25,0.192,✔️,0.0,False,CPU
-7,🌳,Tree-based,[LightGBM (tuned + ensembled)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1632.0,+179/-81,0.451,13.6,9.81,8.682,91.02,0.568,✔️,0.0,False,CPU
-8,🌳,Tree-based,[CatBoost (tuned)](https://arxiv.org/abs/1706.09516),1628.0,+167/-84,0.499,13.75,8.83,7.132,688.25,0.036,✔️,0.0,False,CPU
-9,🧠🔁,Neural Network,[RealMLP (tuned + ensembled)](https://arxiv.org/abs/2407.04491),1618.0,+129/-88,0.471,14.2,9.63,7.485,1635.73,2.146,✔️,0.0,False,GPU
-10,🧠🔁,Neural Network,[TabM (tuned + ensembled)](https://arxiv.org/abs/2410.24210),1593.0,+187/-100,0.433,15.3,5.61,8.859,1400.65,0.571,✔️,0.0,False,GPU
-11,🌳,Tree-based,[CatBoost (default)](https://arxiv.org/abs/1706.09516),1592.0,+135/-68,0.465,15.35,6.0,7.247,2.2,0.044,✔️,0.0,False,CPU
-12,🧠🔁,Neural Network,[ModernNCA (tuned)](https://arxiv.org/abs/2407.03257),1590.0,+172/-116,0.422,15.4,11.14,9.79,2335.82,0.502,✔️,0.0,False,GPU
-13,🌳,Tree-based,[XGBoost (tuned)](https://arxiv.org/abs/1603.02754),1577.0,+179/-102,0.419,16.0,11.17,8.091,202.53,0.055,✔️,0.0,False,CPU
-14,🌳,Tree-based,[LightGBM (tuned)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1558.0,+178/-110,0.356,16.9,13.03,9.535,91.02,0.074,✔️,0.0,False,CPU
-15,🧠🔁,Neural Network,[RealMLP (tuned)](https://arxiv.org/abs/2407.04491),1524.0,+160/-112,0.36,18.5,10.15,9.894,1635.73,0.082,✔️,0.0,False,GPU
-16,🧠🔁,Neural Network,[TabM (tuned)](https://arxiv.org/abs/2410.24210),1512.0,+199/-166,0.36,19.1,9.02,9.451,1400.65,0.065,✔️,0.0,False,GPU
-17,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (default)](https://arxiv.org/abs/2511.08667),1504.0,+190/-128,0.346,19.5,9.54,8.488,2.3,0.818,✔️,0.0,False,GPU
-18,🧠⚡,Foundation Model,[TabICL (default)](https://arxiv.org/abs/2502.05564),1490.0,+168/-135,0.299,20.2,12.28,10.137,8.46,3.879,✔️,0.0,False,GPU
-19,🌳,Tree-based,[EBM (tuned + ensembled)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1441.0,+202/-125,0.258,22.7,15.66,12.923,899.24,0.221,✔️,0.0,False,CPU
-20,🌳,Tree-based,[XGBoost (default)](https://arxiv.org/abs/1603.02754),1437.0,+230/-155,0.289,22.9,10.66,10.324,0.47,0.047,✔️,0.0,False,CPU
-21,🧠🔁,Neural Network,[TorchMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1414.0,+110/-66,0.169,24.1,19.95,11.033,1128.73,1.573,✔️,0.0,False,CPU
-22,🧠⚡,Foundation Model,[TabDPT (tuned + ensembled)](https://arxiv.org/abs/2410.18164),1400.0,+140/-132,0.184,24.9,19.38,11.114,4546.1,406.11,✔️,0.0,False,GPU
-23,🧠🔁,Neural Network,[TabM (default)](https://arxiv.org/abs/2410.24210),1400.0,+183/-172,0.228,24.9,19.92,12.728,5.79,0.084,✔️,0.0,False,GPU
-24,❓,Other,[xRFM (tuned + ensembled)](https://arxiv.org/abs/2508.10053),1392.0,+158/-142,0.225,25.3,16.35,11.586,713.0,2.317,✔️,0.0,False,GPU
-25,❓,Other,[xRFM (tuned)](https://arxiv.org/abs/2508.10053),1368.0,+159/-138,0.151,26.6,18.6,14.611,713.0,0.155,✔️,0.0,False,GPU
-26,🧠🔁,Neural Network,[RealMLP (default)](https://arxiv.org/abs/2407.04491),1340.0,+98/-105,0.086,28.1,25.09,14.578,6.53,0.294,✔️,0.0,False,GPU
-27,🌳,Tree-based,[EBM (tuned)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1317.0,+170/-127,0.146,29.3,22.65,14.555,899.24,0.015,✔️,0.0,False,CPU
-28,🧠⚡,Foundation Model,[TabDPT (tuned)](https://arxiv.org/abs/2410.18164),1316.0,+163/-162,0.12,29.35,19.99,14.846,4546.1,39.323,✔️,0.0,False,GPU
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-30,🧠🔁,Neural Network,[FastaiMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1308.0,+106/-155,0.102,29.8,23.76,15.444,387.73,2.446,✔️,0.0,False,CPU
-31,🌳,Tree-based,[RandomForest (tuned + ensembled)](https://link.springer.com/article/10.1023/A:1010933404324),1306.0,+128/-99,0.075,29.9,22.16,14.301,52.7,0.202,✔️,0.0,False,CPU
-32,🧠🔁,Neural Network,[LimiX (default) [60.00% IMPUTED]](https://arxiv.org/abs/2509.03505),1296.0,+234/-217,0.196,30.45,7.39,19.254,0.46,0.013,➖,60.0,True,GPU
-33,🧠🔁,Neural Network,[TorchMLP (tuned)](https://arxiv.org/abs/2003.06505),1281.0,+120/-104,0.086,31.2,27.63,14.214,1128.73,0.054,✔️,0.0,False,CPU
-34,🌳,Tree-based,[ExtraTrees (tuned + ensembled)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1277.0,+139/-150,0.064,31.4,28.17,13.793,38.59,0.337,✔️,0.0,False,CPU
-35,🧠⚡,Foundation Model,[BetaTabPFN (default)](https://arxiv.org/abs/2502.02527),1277.0,+178/-170,0.117,31.4,20.47,15.572,82.52,0.97,➖,0.0,False,GPU
-36,🌳,Tree-based,[RandomForest (tuned)](https://link.springer.com/article/10.1023/A:1010933404324),1264.0,+126/-100,0.058,32.05,26.73,14.723,52.7,0.017,✔️,0.0,False,CPU
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-38,🧠🔁,Neural Network,[ModernNCA (default)](https://arxiv.org/abs/2407.03257),1209.0,+94/-118,0.023,34.8,33.11,14.804,11.03,0.489,✔️,0.0,False,GPU
-39,🧠⚡,Foundation Model,[SAP-RPT-OSS (default)](https://arxiv.org/abs/2506.10707),1197.0,+108/-106,0.026,35.4,32.02,17.798,14.93,13.661,➖,0.0,False,GPU
-40,🌳,Tree-based,[ExtraTrees (tuned)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1180.0,+146/-165,0.034,36.2,33.01,17.278,38.59,0.028,✔️,0.0,False,CPU
-41,🧠⚡,Foundation Model,[TabDPT (default)](https://arxiv.org/abs/2410.18164),1177.0,+131/-136,0.021,36.35,32.85,18.831,41.63,39.259,✔️,0.0,False,GPU
-42,🧠🔁,Neural Network,[FastaiMLP (tuned)](https://arxiv.org/abs/2003.06505),1122.0,+104/-148,0.019,38.8,36.69,19.014,387.73,0.089,✔️,0.0,False,CPU
-43,🧠🔁,Neural Network,[TorchMLP (default)](https://arxiv.org/abs/2003.06505),1099.0,+97/-111,0.013,39.8,38.11,17.823,1.84,0.047,✔️,0.0,False,CPU
-44,📏,Baseline,[Linear (tuned + ensembled)](https://scikit-learn.org/stable/modules/linear_model.html),1042.0,+176/-254,0.019,42.05,37.77,28.308,43.41,0.111,✔️,0.0,False,CPU
-45,📏,Baseline,[KNN (tuned + ensembled)](https://scikit-learn.org/stable/modules/neighbors.html),1028.0,+113/-202,0.018,42.6,39.86,24.557,332.4,33.481,✔️,0.0,False,CPU
-46,🧠🔁,Neural Network,[FastaiMLP (default)](https://arxiv.org/abs/2003.06505),1008.0,+146/-197,0.025,43.3,40.03,22.583,1.63,0.11,✔️,0.0,False,CPU
-47,🌳,Tree-based,[RandomForest (default)](https://link.springer.com/article/10.1023/A:1010933404324),1000.0,+115/-242,0.0,43.6,42.09,22.62,0.11,0.012,✔️,0.0,False,CPU
-48,📏,Baseline,[Linear (tuned)](https://scikit-learn.org/stable/modules/linear_model.html),996.0,+164/-266,0.002,43.75,40.73,29.28,43.41,0.02,✔️,0.0,False,CPU
-49,❓,Other,[xRFM (default)](https://arxiv.org/abs/2508.10053),834.0,+238/-559,0.024,48.5,41.71,33.515,2.96,0.183,✔️,0.0,False,GPU
-50,📏,Baseline,[Linear (default)](https://scikit-learn.org/stable/modules/linear_model.html),830.0,+96/-217,0.0,48.6,48.27,30.878,0.21,0.019,✔️,0.0,False,CPU
-51,🌳,Tree-based,[ExtraTrees (default)](https://link.springer.com/article/10.1007/s10994-006-6226-1),825.0,+89/-219,0.0,48.7,48.4,27.598,0.1,0.02,✔️,0.0,False,CPU
-52,📏,Baseline,[KNN (tuned)](https://scikit-learn.org/stable/modules/neighbors.html),785.0,+67/-189,0.0,49.6,49.27,33.031,332.4,1.631,✔️,0.0,False,CPU
-53,🧠⚡,Foundation Model,[TabFlex (default)](https://arxiv.org/abs/2506.05584),755.0,+125/-262,0.0,50.2,49.68,35.655,0.18,0.032,➖,0.0,False,GPU
-54,📏,Baseline,[KNN (default)](https://scikit-learn.org/stable/modules/neighbors.html),419.0,+107/-394,0.0,54.2,54.17,49.897,0.12,0.094,✔️,0.0,False,CPU
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diff --git a/data/imputation_yes/splits_lite/tasks_classification/datasets_small/website_leaderboard.csv b/data/imputation_yes/splits_lite/tasks_classification/datasets_small/website_leaderboard.csv
deleted file mode 100644
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-0,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (default)](https://arxiv.org/abs/2511.08667),1600.0,+94/-70,0.618,9.23,5.6,7.437,6.03,0.703,✔️,0.0,False,GPU
-1,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned + ensembled)](https://arxiv.org/abs/2511.08667),1594.0,+128/-95,0.648,9.46,2.86,4.66,2279.85,9.666,✔️,0.0,False,GPU
-2,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned)](https://arxiv.org/abs/2511.08667),1563.0,+124/-83,0.599,10.71,4.67,7.33,2279.85,0.968,✔️,0.0,False,GPU
-3,📊,Reference Pipeline,"[AutoGluon 1.4 (extreme, 4h)](https://arxiv.org/abs/2003.06505)",1522.0,+104/-87,0.565,12.54,5.39,8.987,635.11,8.569,✔️,0.0,False,GPU
-4,🧠🔁,Neural Network,[RealMLP (tuned + ensembled)](https://arxiv.org/abs/2407.04491),1474.0,+83/-61,0.444,15.0,7.4,11.594,3486.44,22.867,✔️,0.0,False,GPU
-5,📊,Reference Pipeline,"[AutoGluon 1.4 (best, 4h)](https://arxiv.org/abs/2003.06505)",1456.0,+87/-65,0.435,16.0,8.46,11.423,2993.17,1.401,✔️,0.0,False,CPU
-6,🧠⚡,Foundation Model,[TabPFNv2 (tuned + ensembled) [7.14% IMPUTED]](https://www.nature.com/articles/s41586-024-08328-6),1452.0,+130/-91,0.454,16.18,7.11,12.285,3226.71,49.21,✔️,7.14,True,GPU
-7,🧠🔁,Neural Network,[LimiX (default)](https://arxiv.org/abs/2509.03505),1444.0,+86/-63,0.45,16.66,6.37,10.694,4.53,0.611,➖,0.0,False,GPU
-8,🧠🔁,Neural Network,[Mitra (default) [7.14% IMPUTED]](https://arxiv.org/abs/2510.21204),1424.0,+104/-79,0.4,17.86,7.86,12.738,145.75,4.071,✔️,7.14,True,GPU
-9,🧠🔁,Neural Network,[RealMLP (tuned)](https://arxiv.org/abs/2407.04491),1413.0,+71/-70,0.373,18.52,9.09,12.977,3486.44,1.002,✔️,0.0,False,GPU
-10,🧠⚡,Foundation Model,[TabDPT (tuned + ensembled)](https://arxiv.org/abs/2410.18164),1388.0,+85/-73,0.388,20.07,7.0,11.814,7432.95,404.225,✔️,0.0,False,GPU
-11,🧠🔁,Neural Network,[TabM (tuned + ensembled)](https://arxiv.org/abs/2410.24210),1375.0,+75/-76,0.338,20.86,10.09,13.992,3083.36,1.48,✔️,0.0,False,GPU
-12,🧠⚡,Foundation Model,[TabPFNv2 (tuned) [7.14% IMPUTED]](https://www.nature.com/articles/s41586-024-08328-6),1362.0,+108/-81,0.315,21.7,11.28,14.612,3226.71,0.494,✔️,7.14,True,GPU
-13,🧠⚡,Foundation Model,[TabICL (default) [7.14% IMPUTED]](https://arxiv.org/abs/2502.05564),1353.0,+72/-65,0.326,22.25,6.62,13.761,9.07,1.864,✔️,7.14,True,GPU
-14,🌳,Tree-based,[LightGBM (tuned + ensembled)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1347.0,+62/-51,0.235,22.7,17.07,15.057,774.51,1.455,✔️,0.0,False,CPU
-15,🧠⚡,Foundation Model,[BetaTabPFN (default)](https://arxiv.org/abs/2502.02527),1346.0,+97/-72,0.291,22.71,13.68,16.148,303.47,2.324,➖,0.0,False,GPU
-16,🧠⚡,Foundation Model,[TabDPT (tuned)](https://arxiv.org/abs/2410.18164),1345.0,+83/-88,0.341,22.79,7.1,13.237,7432.95,39.797,✔️,0.0,False,GPU
-17,🧠🔁,Neural Network,[TabM (tuned)](https://arxiv.org/abs/2410.24210),1318.0,+88/-67,0.28,24.59,14.21,15.094,3083.36,0.189,✔️,0.0,False,GPU
-18,🌳,Tree-based,[CatBoost (tuned + ensembled)](https://arxiv.org/abs/1706.09516),1318.0,+69/-59,0.225,24.59,17.33,14.996,1612.87,0.724,✔️,0.0,False,CPU
-19,🧠⚡,Foundation Model,[TabPFNv2 (default) [7.14% IMPUTED]](https://www.nature.com/articles/s41586-024-08328-6),1312.0,+92/-71,0.293,25.02,8.7,15.634,4.32,0.469,✔️,7.14,True,GPU
-20,🧠🔁,Neural Network,[ModernNCA (tuned)](https://arxiv.org/abs/2407.03257),1306.0,+81/-78,0.246,25.43,11.51,14.692,6286.73,0.473,✔️,0.0,False,GPU
-21,❓,Other,[xRFM (tuned + ensembled)](https://arxiv.org/abs/2508.10053),1304.0,+79/-73,0.24,25.5,14.26,15.826,1165.19,2.067,✔️,0.0,False,GPU
-22,🌳,Tree-based,[XGBoost (tuned + ensembled)](https://arxiv.org/abs/1603.02754),1301.0,+65/-70,0.205,25.73,15.54,16.187,829.32,1.642,✔️,0.0,False,CPU
-23,🌳,Tree-based,[CatBoost (default)](https://arxiv.org/abs/1706.09516),1299.0,+56/-54,0.189,25.84,19.02,15.801,6.97,0.144,✔️,0.0,False,CPU
-24,🌳,Tree-based,[CatBoost (tuned)](https://arxiv.org/abs/1706.09516),1292.0,+68/-44,0.2,26.32,20.04,15.683,1612.87,0.061,✔️,0.0,False,CPU
-25,🌳,Tree-based,[LightGBM (tuned)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1290.0,+70/-65,0.201,26.46,20.53,16.028,774.51,0.282,✔️,0.0,False,CPU
-26,🌳,Tree-based,[EBM (tuned + ensembled)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1286.0,+72/-62,0.178,26.71,15.9,16.805,2989.36,0.609,✔️,0.0,False,CPU
-27,🌳,Tree-based,[XGBoost (tuned)](https://arxiv.org/abs/1603.02754),1283.0,+68/-64,0.186,26.96,12.15,16.412,829.32,0.241,✔️,0.0,False,CPU
-28,🧠⚡,Foundation Model,[SAP-RPT-OSS (default)](https://arxiv.org/abs/2506.10707),1279.0,+85/-91,0.274,27.2,10.4,17.612,13.4,1.64,➖,0.0,False,GPU
-29,🧠🔁,Neural Network,[ModernNCA (tuned + ensembled)](https://arxiv.org/abs/2407.03257),1273.0,+82/-78,0.221,27.64,17.96,16.335,6286.73,9.386,✔️,0.0,False,GPU
-30,🧠🔁,Neural Network,[TabM (default)](https://arxiv.org/abs/2410.24210),1267.0,+80/-81,0.23,28.04,16.89,17.527,11.86,0.149,✔️,0.0,False,GPU
-31,🧠🔁,Neural Network,[RealMLP (default)](https://arxiv.org/abs/2407.04491),1254.0,+71/-71,0.155,28.93,17.48,16.694,14.59,4.035,✔️,0.0,False,GPU
-32,🌳,Tree-based,[EBM (tuned)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1247.0,+60/-67,0.138,29.43,13.69,17.476,2989.36,0.063,✔️,0.0,False,CPU
-33,❓,Other,[xRFM (tuned)](https://arxiv.org/abs/2508.10053),1244.0,+78/-82,0.17,29.59,12.57,16.995,1165.19,0.105,✔️,0.0,False,GPU
-34,🌳,Tree-based,[EBM (default)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1238.0,+79/-64,0.146,30.0,13.28,18.192,8.12,0.053,✔️,0.0,False,CPU
-35,🧠⚡,Foundation Model,[TabDPT (default)](https://arxiv.org/abs/2410.18164),1237.0,+88/-107,0.239,30.11,9.21,16.168,51.78,39.927,✔️,0.0,False,GPU
-36,🧠🔁,Neural Network,[TorchMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1234.0,+81/-72,0.167,30.25,22.55,17.116,2894.94,2.42,✔️,0.0,False,CPU
-37,🧠🔁,Neural Network,[FastaiMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1194.0,+101/-90,0.158,32.98,21.58,19.917,1425.28,7.355,✔️,0.0,False,CPU
-38,🧠🔁,Neural Network,[TorchMLP (tuned)](https://arxiv.org/abs/2003.06505),1178.0,+87/-76,0.143,34.0,24.35,19.081,2894.94,0.145,✔️,0.0,False,CPU
-39,🌳,Tree-based,[ExtraTrees (tuned + ensembled)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1178.0,+81/-83,0.127,34.07,22.09,20.789,402.38,1.373,✔️,0.0,False,CPU
-40,🧠🔁,Neural Network,[ModernNCA (default)](https://arxiv.org/abs/2407.03257),1166.0,+70/-85,0.101,34.84,13.33,21.032,14.22,0.353,✔️,0.0,False,GPU
-41,🌳,Tree-based,[ExtraTrees (tuned)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1155.0,+83/-84,0.138,35.52,17.09,21.307,402.38,0.163,✔️,0.0,False,CPU
-42,🌳,Tree-based,[RandomForest (tuned + ensembled)](https://link.springer.com/article/10.1023/A:1010933404324),1136.0,+78/-98,0.114,36.79,26.12,21.865,562.0,1.155,✔️,0.0,False,CPU
-43,🌳,Tree-based,[XGBoost (default)](https://arxiv.org/abs/1603.02754),1134.0,+68/-66,0.061,36.89,31.01,19.814,2.85,0.19,✔️,0.0,False,CPU
-44,🧠🔁,Neural Network,[FastaiMLP (tuned)](https://arxiv.org/abs/2003.06505),1133.0,+90/-90,0.115,36.93,22.75,21.368,1425.28,0.561,✔️,0.0,False,CPU
-45,🌳,Tree-based,[LightGBM (default)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1127.0,+62/-81,0.096,37.3,30.39,20.294,3.27,0.193,✔️,0.0,False,CPU
-46,🌳,Tree-based,[RandomForest (tuned)](https://link.springer.com/article/10.1023/A:1010933404324),1089.0,+69/-82,0.055,39.68,32.55,22.847,562.0,0.138,✔️,0.0,False,CPU
-47,🧠⚡,Foundation Model,[TabFlex (default)](https://arxiv.org/abs/2506.05584),1012.0,+95/-121,0.063,44.0,33.67,27.691,2.45,0.519,➖,0.0,False,GPU
-48,🧠🔁,Neural Network,[TorchMLP (default)](https://arxiv.org/abs/2003.06505),1009.0,+81/-102,0.033,44.11,37.69,25.453,9.06,0.196,✔️,0.0,False,CPU
-49,❓,Other,[xRFM (default)](https://arxiv.org/abs/2508.10053),1002.0,+96/-130,0.045,44.46,39.03,25.461,5.43,0.836,✔️,0.0,False,GPU
-50,🌳,Tree-based,[RandomForest (default)](https://link.springer.com/article/10.1023/A:1010933404324),1000.0,+83/-112,0.026,44.59,34.08,28.276,0.46,0.07,✔️,0.0,False,CPU
-51,📏,Baseline,[KNN (tuned + ensembled)](https://scikit-learn.org/stable/modules/neighbors.html),981.0,+92/-121,0.037,45.54,37.96,28.627,123.01,1.579,✔️,0.0,False,CPU
-52,🧠🔁,Neural Network,[FastaiMLP (default)](https://arxiv.org/abs/2003.06505),977.0,+84/-106,0.029,45.71,41.51,25.392,5.03,0.601,✔️,0.0,False,CPU
-53,🌳,Tree-based,[ExtraTrees (default)](https://link.springer.com/article/10.1007/s10994-006-6226-1),945.0,+95/-124,0.019,47.21,42.32,29.921,0.38,0.072,✔️,0.0,False,CPU
-54,📏,Baseline,[Linear (tuned + ensembled)](https://scikit-learn.org/stable/modules/linear_model.html),933.0,+89/-114,0.036,47.71,17.99,31.991,479.28,0.495,✔️,0.0,False,CPU
-55,📏,Baseline,[Linear (tuned)](https://scikit-learn.org/stable/modules/linear_model.html),908.0,+90/-123,0.03,48.77,26.83,32.625,479.28,0.098,✔️,0.0,False,CPU
-56,📏,Baseline,[Linear (default)](https://scikit-learn.org/stable/modules/linear_model.html),875.0,+105/-131,0.014,50.04,45.44,35.574,2.34,0.132,✔️,0.0,False,CPU
-57,📏,Baseline,[KNN (tuned)](https://scikit-learn.org/stable/modules/neighbors.html),811.0,+108/-152,0.021,52.14,48.72,35.773,123.01,0.092,✔️,0.0,False,CPU
-58,📏,Baseline,[KNN (default)](https://scikit-learn.org/stable/modules/neighbors.html),563.0,+112/-194,0.0,57.14,56.82,49.586,0.28,0.024,✔️,0.0,False,CPU
diff --git a/data/imputation_yes/splits_lite/tasks_classification/datasets_small/winrate_matrix.png.zip b/data/imputation_yes/splits_lite/tasks_classification/datasets_small/winrate_matrix.png.zip
deleted file mode 100644
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diff --git a/data/imputation_yes/splits_lite/tasks_classification/datasets_tabpfn/n_datasets_26 b/data/imputation_yes/splits_lite/tasks_classification/datasets_tabpfn/n_datasets_26
deleted file mode 100644
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diff --git a/data/imputation_yes/splits_lite/tasks_classification/datasets_tabpfn/pareto_front_improvability_vs_time_infer.png.zip b/data/imputation_yes/splits_lite/tasks_classification/datasets_tabpfn/pareto_front_improvability_vs_time_infer.png.zip
deleted file mode 100644
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diff --git a/data/imputation_yes/splits_lite/tasks_classification/datasets_tabpfn/tuning-impact-elo.png.zip b/data/imputation_yes/splits_lite/tasks_classification/datasets_tabpfn/tuning-impact-elo.png.zip
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diff --git a/data/imputation_yes/splits_lite/tasks_classification/datasets_tabpfn/website_leaderboard.csv b/data/imputation_yes/splits_lite/tasks_classification/datasets_tabpfn/website_leaderboard.csv
deleted file mode 100644
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--- a/data/imputation_yes/splits_lite/tasks_classification/datasets_tabpfn/website_leaderboard.csv
+++ /dev/null
@@ -1,60 +0,0 @@
-#,Type,TypeName,Model,Elo [⬆️],Elo 95% CI,Score [⬆️],Rank [⬇️],Harmonic Rank [⬇️],Improvability (%) [⬇️],Median Train Time (s/1K) [⬇️],Median Predict Time (s/1K) [⬇️],Verified,Imputed (%) [⬇️],Imputed,Hardware
-0,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (default)](https://arxiv.org/abs/2511.08667),1643.0,+86/-65,0.635,8.29,5.33,7.839,5.78,0.586,✔️,0.0,False,GPU
-1,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned + ensembled)](https://arxiv.org/abs/2511.08667),1621.0,+125/-100,0.652,9.08,2.97,4.968,2162.76,8.93,✔️,0.0,False,GPU
-2,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned)](https://arxiv.org/abs/2511.08667),1597.0,+126/-103,0.609,10.0,4.42,7.727,2162.76,0.894,✔️,0.0,False,GPU
-3,📊,Reference Pipeline,"[AutoGluon 1.4 (extreme, 4h)](https://arxiv.org/abs/2003.06505)",1528.0,+113/-80,0.546,13.04,5.48,9.618,620.85,8.569,✔️,0.0,False,GPU
-4,🧠🔁,Neural Network,[RealMLP (tuned + ensembled)](https://arxiv.org/abs/2407.04491),1506.0,+86/-60,0.461,14.12,7.02,12.159,3159.9,21.159,✔️,0.0,False,GPU
-5,🧠⚡,Foundation Model,[TabPFNv2 (tuned + ensembled)](https://www.nature.com/articles/s41586-024-08328-6),1504.0,+104/-88,0.489,14.21,6.69,11.53,3361.32,51.669,✔️,0.0,False,GPU
-6,🧠🔁,Neural Network,[Mitra (default)](https://arxiv.org/abs/2510.21204),1468.0,+101/-67,0.431,16.13,7.41,12.029,150.4,4.403,✔️,0.0,False,GPU
-7,📊,Reference Pipeline,"[AutoGluon 1.4 (best, 4h)](https://arxiv.org/abs/2003.06505)",1463.0,+80/-69,0.41,16.42,8.4,12.218,2628.27,1.401,✔️,0.0,False,CPU
-8,🧠🔁,Neural Network,[LimiX (default)](https://arxiv.org/abs/2509.03505),1457.0,+98/-64,0.439,16.75,6.1,11.286,4.3,0.584,➖,0.0,False,GPU
-9,🧠🔁,Neural Network,[RealMLP (tuned)](https://arxiv.org/abs/2407.04491),1441.0,+88/-57,0.391,17.63,8.64,13.535,3159.9,0.646,✔️,0.0,False,GPU
-10,🧠⚡,Foundation Model,[TabPFNv2 (tuned)](https://www.nature.com/articles/s41586-024-08328-6),1400.0,+84/-79,0.339,20.15,10.7,14.036,3361.32,0.527,✔️,0.0,False,GPU
-11,🧠⚡,Foundation Model,[TabDPT (tuned + ensembled)](https://arxiv.org/abs/2410.18164),1400.0,+103/-86,0.38,20.15,6.68,12.433,6883.9,405.331,✔️,0.0,False,GPU
-12,🧠🔁,Neural Network,[TabM (tuned + ensembled)](https://arxiv.org/abs/2410.24210),1389.0,+100/-72,0.332,20.81,9.98,14.604,2899.02,1.461,✔️,0.0,False,GPU
-13,🧠⚡,Foundation Model,[TabICL (default)](https://arxiv.org/abs/2502.05564),1388.0,+84/-94,0.351,20.87,6.23,13.131,9.07,2.008,✔️,0.0,False,GPU
-14,🧠⚡,Foundation Model,[BetaTabPFN (default)](https://arxiv.org/abs/2502.02527),1374.0,+94/-84,0.298,21.73,13.13,16.382,303.47,2.098,➖,0.0,False,GPU
-15,🧠⚡,Foundation Model,[TabDPT (tuned)](https://arxiv.org/abs/2410.18164),1356.0,+80/-98,0.34,22.88,6.75,13.867,6883.9,39.606,✔️,0.0,False,GPU
-16,🌳,Tree-based,[LightGBM (tuned + ensembled)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1342.0,+51/-42,0.194,23.83,19.27,16.138,691.46,1.455,✔️,0.0,False,CPU
-17,🧠⚡,Foundation Model,[TabPFNv2 (default)](https://www.nature.com/articles/s41586-024-08328-6),1341.0,+82/-91,0.315,23.85,8.22,15.148,4.28,0.511,✔️,0.0,False,GPU
-18,🧠🔁,Neural Network,[ModernNCA (tuned)](https://arxiv.org/abs/2407.03257),1335.0,+77/-86,0.265,24.27,10.91,15.115,6020.89,0.454,✔️,0.0,False,GPU
-19,🧠🔁,Neural Network,[TabM (tuned)](https://arxiv.org/abs/2410.24210),1326.0,+98/-71,0.268,24.83,14.9,15.756,2899.02,0.171,✔️,0.0,False,GPU
-20,🌳,Tree-based,[CatBoost (tuned + ensembled)](https://arxiv.org/abs/1706.09516),1325.0,+83/-68,0.21,24.94,17.66,16.007,1394.45,0.618,✔️,0.0,False,CPU
-21,🌳,Tree-based,[XGBoost (tuned + ensembled)](https://arxiv.org/abs/1603.02754),1305.0,+68/-56,0.183,26.25,20.41,17.318,785.9,1.281,✔️,0.0,False,CPU
-22,🌳,Tree-based,[CatBoost (default)](https://arxiv.org/abs/1706.09516),1304.0,+74/-52,0.167,26.33,19.44,16.868,5.74,0.139,✔️,0.0,False,CPU
-23,🌳,Tree-based,[EBM (tuned + ensembled)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1303.0,+73/-63,0.183,26.35,15.34,17.587,2399.23,0.565,✔️,0.0,False,CPU
-24,🧠⚡,Foundation Model,[SAP-RPT-OSS (default)](https://arxiv.org/abs/2506.10707),1298.0,+124/-117,0.282,26.71,9.9,18.367,12.42,1.417,➖,0.0,False,GPU
-25,❓,Other,[xRFM (tuned + ensembled)](https://arxiv.org/abs/2508.10053),1296.0,+77/-71,0.198,26.81,18.62,16.877,1053.72,1.872,✔️,0.0,False,GPU
-26,🧠🔁,Neural Network,[ModernNCA (tuned + ensembled)](https://arxiv.org/abs/2407.03257),1294.0,+92/-83,0.238,26.96,17.29,17.031,6020.89,8.478,✔️,0.0,False,GPU
-27,🌳,Tree-based,[CatBoost (tuned)](https://arxiv.org/abs/1706.09516),1291.0,+70/-49,0.17,27.19,21.87,16.785,1394.45,0.053,✔️,0.0,False,CPU
-28,🌳,Tree-based,[XGBoost (tuned)](https://arxiv.org/abs/1603.02754),1287.0,+71/-58,0.166,27.42,12.81,17.51,785.9,0.213,✔️,0.0,False,CPU
-29,🌳,Tree-based,[LightGBM (tuned)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1286.0,+69/-54,0.164,27.5,21.5,17.102,691.46,0.264,✔️,0.0,False,CPU
-30,🧠🔁,Neural Network,[TabM (default)](https://arxiv.org/abs/2410.24210),1283.0,+100/-71,0.23,27.73,16.4,18.07,11.6,0.148,✔️,0.0,False,GPU
-31,🧠🔁,Neural Network,[RealMLP (default)](https://arxiv.org/abs/2407.04491),1281.0,+81/-65,0.167,27.85,16.72,17.108,12.75,3.502,✔️,0.0,False,GPU
-32,🧠⚡,Foundation Model,[TabDPT (default)](https://arxiv.org/abs/2410.18164),1254.0,+97/-127,0.258,29.62,8.71,16.756,51.52,40.126,✔️,0.0,False,GPU
-33,🌳,Tree-based,[EBM (tuned)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1252.0,+60/-71,0.134,29.81,13.25,18.357,2399.23,0.061,✔️,0.0,False,CPU
-34,🌳,Tree-based,[EBM (default)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1251.0,+88/-92,0.139,29.85,12.79,18.783,7.41,0.052,✔️,0.0,False,CPU
-35,🧠🔁,Neural Network,[TorchMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1249.0,+72/-74,0.169,29.96,22.06,17.668,2792.14,2.175,✔️,0.0,False,CPU
-36,❓,Other,[xRFM (tuned)](https://arxiv.org/abs/2508.10053),1232.0,+84/-74,0.126,31.13,22.19,18.071,1053.72,0.103,✔️,0.0,False,GPU
-37,🧠🔁,Neural Network,[FastaiMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1217.0,+92/-107,0.17,32.1,20.76,20.456,1350.04,6.57,✔️,0.0,False,CPU
-38,🧠🔁,Neural Network,[ModernNCA (default)](https://arxiv.org/abs/2407.03257),1190.0,+71/-115,0.109,33.87,12.63,21.041,13.67,0.339,✔️,0.0,False,GPU
-39,🧠🔁,Neural Network,[TorchMLP (tuned)](https://arxiv.org/abs/2003.06505),1180.0,+80/-84,0.121,34.5,27.01,19.614,2792.14,0.133,✔️,0.0,False,CPU
-40,🌳,Tree-based,[ExtraTrees (tuned + ensembled)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1159.0,+82/-82,0.085,35.83,27.98,22.147,378.34,1.373,✔️,0.0,False,CPU
-41,🧠🔁,Neural Network,[FastaiMLP (tuned)](https://arxiv.org/abs/2003.06505),1152.0,+95/-107,0.124,36.31,21.92,21.966,1350.04,0.613,✔️,0.0,False,CPU
-42,🌳,Tree-based,[ExtraTrees (tuned)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1138.0,+92/-91,0.107,37.19,19.83,22.595,378.34,0.154,✔️,0.0,False,CPU
-43,🌳,Tree-based,[XGBoost (default)](https://arxiv.org/abs/1603.02754),1127.0,+60/-60,0.033,37.85,34.5,21.116,2.66,0.17,✔️,0.0,False,CPU
-44,🌳,Tree-based,[RandomForest (tuned + ensembled)](https://link.springer.com/article/10.1023/A:1010933404324),1117.0,+107/-103,0.077,38.46,27.77,23.308,527.27,1.155,✔️,0.0,False,CPU
-45,🌳,Tree-based,[LightGBM (default)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1102.0,+70/-70,0.047,39.33,35.23,21.73,3.01,0.177,✔️,0.0,False,CPU
-46,🌳,Tree-based,[RandomForest (tuned)](https://link.springer.com/article/10.1023/A:1010933404324),1078.0,+88/-89,0.045,40.73,33.27,24.138,527.27,0.128,✔️,0.0,False,CPU
-47,🧠⚡,Foundation Model,[TabFlex (default)](https://arxiv.org/abs/2506.05584),1028.0,+85/-152,0.068,43.5,32.84,28.036,2.28,0.454,➖,0.0,False,GPU
-48,🧠🔁,Neural Network,[TorchMLP (default)](https://arxiv.org/abs/2003.06505),1012.0,+90/-94,0.035,44.31,37.65,26.238,8.93,0.172,✔️,0.0,False,CPU
-49,🌳,Tree-based,[RandomForest (default)](https://link.springer.com/article/10.1023/A:1010933404324),1000.0,+82/-103,0.028,44.92,33.83,28.762,0.44,0.065,✔️,0.0,False,CPU
-50,❓,Other,[xRFM (default)](https://arxiv.org/abs/2508.10053),998.0,+92/-120,0.049,45.0,39.17,26.76,5.0,0.753,✔️,0.0,False,GPU
-51,🧠🔁,Neural Network,[FastaiMLP (default)](https://arxiv.org/abs/2003.06505),990.0,+92/-104,0.031,45.42,41.01,25.606,4.68,0.547,✔️,0.0,False,CPU
-52,📏,Baseline,[KNN (tuned + ensembled)](https://scikit-learn.org/stable/modules/neighbors.html),961.0,+81/-103,0.009,46.77,43.84,29.843,118.4,1.479,✔️,0.0,False,CPU
-53,📏,Baseline,[Linear (tuned + ensembled)](https://scikit-learn.org/stable/modules/linear_model.html),954.0,+94/-96,0.038,47.06,17.1,31.197,429.17,0.495,✔️,0.0,False,CPU
-54,🌳,Tree-based,[ExtraTrees (default)](https://link.springer.com/article/10.1007/s10994-006-6226-1),947.0,+86/-142,0.02,47.38,42.29,30.28,0.36,0.068,✔️,0.0,False,CPU
-55,📏,Baseline,[Linear (tuned)](https://scikit-learn.org/stable/modules/linear_model.html),930.0,+98/-110,0.033,48.12,25.77,31.807,429.17,0.081,✔️,0.0,False,CPU
-56,📏,Baseline,[Linear (default)](https://scikit-learn.org/stable/modules/linear_model.html),898.0,+103/-116,0.015,49.38,44.67,34.214,2.16,0.129,✔️,0.0,False,CPU
-57,📏,Baseline,[KNN (tuned)](https://scikit-learn.org/stable/modules/neighbors.html),768.0,+83/-149,0.0,53.46,52.66,37.314,118.4,0.082,✔️,0.0,False,CPU
-58,📏,Baseline,[KNN (default)](https://scikit-learn.org/stable/modules/neighbors.html),574.0,+118/-291,0.0,57.08,56.73,49.46,0.27,0.024,✔️,0.0,False,CPU
diff --git a/data/imputation_yes/splits_lite/tasks_classification/datasets_tabpfn/winrate_matrix.png.zip b/data/imputation_yes/splits_lite/tasks_classification/datasets_tabpfn/winrate_matrix.png.zip
deleted file mode 100644
index 27d58110903d3c8b887f3a4f4b31e05fe3c9d324..0000000000000000000000000000000000000000
--- a/data/imputation_yes/splits_lite/tasks_classification/datasets_tabpfn/winrate_matrix.png.zip
+++ /dev/null
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deleted file mode 100644
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diff --git a/data/imputation_yes/splits_lite/tasks_multiclass/datasets_all/pareto_front_improvability_vs_time_infer.png.zip b/data/imputation_yes/splits_lite/tasks_multiclass/datasets_all/pareto_front_improvability_vs_time_infer.png.zip
deleted file mode 100644
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+++ /dev/null
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diff --git a/data/imputation_yes/splits_lite/tasks_multiclass/datasets_all/tuning-impact-elo.png.zip b/data/imputation_yes/splits_lite/tasks_multiclass/datasets_all/tuning-impact-elo.png.zip
deleted file mode 100644
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diff --git a/data/imputation_yes/splits_lite/tasks_multiclass/datasets_all/website_leaderboard.csv b/data/imputation_yes/splits_lite/tasks_multiclass/datasets_all/website_leaderboard.csv
deleted file mode 100644
index e87c69e972109ad79b927d7cbe24127bfa6bd3ab..0000000000000000000000000000000000000000
--- a/data/imputation_yes/splits_lite/tasks_multiclass/datasets_all/website_leaderboard.csv
+++ /dev/null
@@ -1,60 +0,0 @@
-#,Type,TypeName,Model,Elo [⬆️],Elo 95% CI,Score [⬆️],Rank [⬇️],Harmonic Rank [⬇️],Improvability (%) [⬇️],Median Train Time (s/1K) [⬇️],Median Predict Time (s/1K) [⬇️],Verified,Imputed (%) [⬇️],Imputed,Hardware
-0,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned + ensembled)](https://arxiv.org/abs/2511.08667),1720.0,+699/-192,0.804,6.0,1.66,1.808,2793.65,8.93,✔️,0.0,False,GPU
-1,📊,Reference Pipeline,"[AutoGluon 1.4 (extreme, 4h)](https://arxiv.org/abs/2003.06505)",1655.0,+207/-99,0.719,7.88,5.43,11.082,1008.06,9.121,✔️,0.0,False,GPU
-2,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned)](https://arxiv.org/abs/2511.08667),1649.0,+244/-150,0.681,8.06,4.67,9.911,2793.65,1.513,✔️,0.0,False,GPU
-3,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (default)](https://arxiv.org/abs/2511.08667),1515.0,+283/-134,0.53,13.56,6.37,10.367,9.88,0.825,✔️,0.0,False,GPU
-4,🧠🔁,Neural Network,[LimiX (default) [12.50% IMPUTED]](https://arxiv.org/abs/2509.03505),1483.0,+182/-83,0.458,15.19,8.58,12.322,5.93,0.989,➖,12.5,True,GPU
-5,📊,Reference Pipeline,"[AutoGluon 1.4 (best, 4h)](https://arxiv.org/abs/2003.06505)",1461.0,+185/-108,0.5,16.38,4.31,14.071,5546.65,3.268,✔️,0.0,False,CPU
-6,🌳,Tree-based,[CatBoost (tuned + ensembled)](https://arxiv.org/abs/1706.09516),1422.0,+166/-82,0.356,18.62,15.23,15.024,3307.58,1.182,✔️,0.0,False,CPU
-7,🧠🔁,Neural Network,[RealMLP (tuned + ensembled)](https://arxiv.org/abs/2407.04491),1422.0,+190/-106,0.397,18.62,5.74,15.484,4334.8,21.159,✔️,0.0,False,GPU
-8,🧠⚡,Foundation Model,[TabPFNv2 (tuned + ensembled) [25.00% IMPUTED]](https://www.nature.com/articles/s41586-024-08328-6),1416.0,+292/-183,0.444,19.0,6.82,18.166,2584.13,12.372,✔️,25.0,True,GPU
-9,🌳,Tree-based,[CatBoost (tuned)](https://arxiv.org/abs/1706.09516),1411.0,+152/-64,0.339,19.25,15.68,15.552,3307.58,0.14,✔️,0.0,False,CPU
-10,🌳,Tree-based,[LightGBM (tuned + ensembled)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1403.0,+134/-94,0.322,19.75,13.4,16.245,1280.01,4.078,✔️,0.0,False,CPU
-11,🧠🔁,Neural Network,[Mitra (default) [25.00% IMPUTED]](https://arxiv.org/abs/2510.21204),1399.0,+208/-172,0.381,20.0,13.82,18.908,159.43,3.545,✔️,25.0,True,GPU
-12,🌳,Tree-based,[LightGBM (tuned)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1393.0,+132/-112,0.323,20.38,13.2,16.321,1280.01,1.051,✔️,0.0,False,CPU
-13,🧠🔁,Neural Network,[RealMLP (tuned)](https://arxiv.org/abs/2407.04491),1389.0,+175/-116,0.349,20.62,15.68,15.962,4334.8,3.529,✔️,0.0,False,GPU
-14,🧠🔁,Neural Network,[TabM (tuned + ensembled)](https://arxiv.org/abs/2410.24210),1382.0,+140/-108,0.322,21.0,14.15,18.699,5568.31,1.781,✔️,0.0,False,GPU
-15,🧠⚡,Foundation Model,[TabDPT (tuned + ensembled)](https://arxiv.org/abs/2410.18164),1376.0,+209/-130,0.378,21.38,11.45,19.449,9411.86,344.009,✔️,0.0,False,GPU
-16,🧠🔁,Neural Network,[TabM (tuned)](https://arxiv.org/abs/2410.24210),1369.0,+149/-106,0.318,21.88,12.69,19.038,5568.31,0.372,✔️,0.0,False,GPU
-17,🌳,Tree-based,[XGBoost (tuned + ensembled)](https://arxiv.org/abs/1603.02754),1340.0,+101/-80,0.217,23.75,21.83,16.949,2029.77,4.113,✔️,0.0,False,CPU
-18,❓,Other,[xRFM (tuned + ensembled)](https://arxiv.org/abs/2508.10053),1338.0,+189/-166,0.293,23.88,9.54,19.369,2079.21,3.347,✔️,0.0,False,GPU
-19,🌳,Tree-based,[XGBoost (tuned)](https://arxiv.org/abs/1603.02754),1338.0,+116/-86,0.229,23.88,21.57,16.708,2029.77,1.04,✔️,0.0,False,CPU
-20,🧠⚡,Foundation Model,[TabPFNv2 (default) [25.00% IMPUTED]](https://www.nature.com/articles/s41586-024-08328-6),1332.0,+180/-144,0.289,24.25,13.55,18.203,5.48,0.354,✔️,25.0,True,GPU
-21,🧠⚡,Foundation Model,[TabPFNv2 (tuned) [25.00% IMPUTED]](https://www.nature.com/articles/s41586-024-08328-6),1321.0,+197/-145,0.277,25.0,15.36,19.679,2584.13,0.408,✔️,25.0,True,GPU
-22,🧠🔁,Neural Network,[ModernNCA (tuned + ensembled)](https://arxiv.org/abs/2407.03257),1318.0,+134/-101,0.223,25.19,21.04,18.145,6684.65,9.59,✔️,0.0,False,GPU
-23,🧠🔁,Neural Network,[ModernNCA (tuned)](https://arxiv.org/abs/2407.03257),1299.0,+150/-114,0.186,26.44,21.47,18.488,6684.65,0.752,✔️,0.0,False,GPU
-24,🧠⚡,Foundation Model,[SAP-RPT-OSS (default)](https://arxiv.org/abs/2506.10707),1296.0,+220/-257,0.366,26.62,8.23,20.668,21.84,1.702,➖,0.0,False,GPU
-25,🧠⚡,Foundation Model,[TabDPT (tuned)](https://arxiv.org/abs/2410.18164),1296.0,+204/-138,0.304,26.62,6.21,20.809,9411.86,39.507,✔️,0.0,False,GPU
-26,🌳,Tree-based,[EBM (tuned + ensembled)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1283.0,+143/-137,0.195,27.5,16.34,20.217,27108.48,0.742,✔️,0.0,False,CPU
-27,🧠⚡,Foundation Model,[TabICL (default) [12.50% IMPUTED]](https://arxiv.org/abs/2502.05564),1276.0,+216/-186,0.27,27.94,8.59,23.291,11.51,1.948,✔️,12.5,True,GPU
-28,🌳,Tree-based,[ExtraTrees (tuned + ensembled)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1276.0,+190/-166,0.244,27.94,14.23,21.612,728.32,2.441,✔️,0.0,False,CPU
-29,🧠🔁,Neural Network,[TabM (default)](https://arxiv.org/abs/2410.24210),1275.0,+144/-140,0.228,28.0,16.08,22.14,17.09,0.145,✔️,0.0,False,GPU
-30,🌳,Tree-based,[CatBoost (default)](https://arxiv.org/abs/1706.09516),1271.0,+101/-75,0.162,28.25,25.54,18.577,43.1,0.254,✔️,0.0,False,CPU
-31,🌳,Tree-based,[RandomForest (tuned + ensembled)](https://link.springer.com/article/10.1023/A:1010933404324),1269.0,+221/-210,0.27,28.38,14.91,20.771,729.17,1.833,✔️,0.0,False,CPU
-32,❓,Other,[xRFM (tuned)](https://arxiv.org/abs/2508.10053),1262.0,+236/-179,0.232,28.88,6.19,20.994,2079.21,0.319,✔️,0.0,False,GPU
-33,🌳,Tree-based,[ExtraTrees (tuned)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1251.0,+204/-150,0.216,29.56,14.41,21.742,728.32,0.356,✔️,0.0,False,CPU
-34,🧠⚡,Foundation Model,[BetaTabPFN (default)](https://arxiv.org/abs/2502.02527),1244.0,+122/-145,0.192,30.0,22.89,21.941,283.57,4.104,➖,0.0,False,GPU
-35,🧠🔁,Neural Network,[TorchMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1235.0,+113/-110,0.14,30.62,27.53,21.705,3646.83,2.162,✔️,0.0,False,CPU
-36,🌳,Tree-based,[EBM (tuned)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1221.0,+122/-157,0.177,31.5,24.81,21.727,27108.48,0.066,✔️,0.0,False,CPU
-37,🌳,Tree-based,[EBM (default)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1210.0,+117/-141,0.15,32.25,28.55,22.231,17.86,0.099,✔️,0.0,False,CPU
-38,🧠🔁,Neural Network,[TorchMLP (tuned)](https://arxiv.org/abs/2003.06505),1200.0,+144/-165,0.136,32.88,21.67,23.531,3646.83,0.194,✔️,0.0,False,CPU
-39,🌳,Tree-based,[RandomForest (tuned)](https://link.springer.com/article/10.1023/A:1010933404324),1196.0,+194/-182,0.197,33.12,21.01,22.297,729.17,0.325,✔️,0.0,False,CPU
-40,🧠🔁,Neural Network,[FastaiMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1185.0,+181/-186,0.167,33.88,22.31,25.651,2721.87,12.593,✔️,0.0,False,CPU
-41,🧠⚡,Foundation Model,[TabDPT (default)](https://arxiv.org/abs/2410.18164),1181.0,+242/-168,0.214,34.12,10.79,24.06,46.36,39.812,✔️,0.0,False,GPU
-42,🌳,Tree-based,[XGBoost (default)](https://arxiv.org/abs/1603.02754),1175.0,+115/-125,0.072,34.5,30.92,20.547,4.93,0.592,✔️,0.0,False,CPU
-43,🌳,Tree-based,[LightGBM (default)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1171.0,+155/-163,0.127,34.75,26.49,22.982,5.12,0.444,✔️,0.0,False,CPU
-44,🧠🔁,Neural Network,[RealMLP (default)](https://arxiv.org/abs/2407.04491),1106.0,+123/-146,0.063,38.62,34.3,25.251,19.12,6.922,✔️,0.0,False,GPU
-45,🧠🔁,Neural Network,[ModernNCA (default)](https://arxiv.org/abs/2407.03257),1098.0,+118/-156,0.027,39.12,36.54,27.29,17.24,0.565,✔️,0.0,False,GPU
-46,🧠🔁,Neural Network,[FastaiMLP (tuned)](https://arxiv.org/abs/2003.06505),1084.0,+145/-168,0.081,39.88,31.85,27.296,2721.87,1.083,✔️,0.0,False,CPU
-47,❓,Other,[xRFM (default)](https://arxiv.org/abs/2508.10053),1082.0,+162/-224,0.055,40.0,34.37,29.013,8.99,1.372,✔️,0.0,False,GPU
-48,📏,Baseline,[KNN (tuned + ensembled)](https://scikit-learn.org/stable/modules/neighbors.html),1013.0,+261/-397,0.13,43.62,27.58,38.476,155.52,2.046,✔️,0.0,False,CPU
-49,🌳,Tree-based,[RandomForest (default)](https://link.springer.com/article/10.1023/A:1010933404324),1000.0,+97/-198,0.0,44.25,42.35,35.562,0.74,0.148,✔️,0.0,False,CPU
-50,🧠🔁,Neural Network,[TorchMLP (default)](https://arxiv.org/abs/2003.06505),970.0,+108/-152,0.0,45.62,44.22,30.565,14.37,0.363,✔️,0.0,False,CPU
-51,🧠🔁,Neural Network,[FastaiMLP (default)](https://arxiv.org/abs/2003.06505),925.0,+147/-261,0.022,47.5,43.96,34.532,8.37,0.659,✔️,0.0,False,CPU
-52,📏,Baseline,[Linear (tuned + ensembled)](https://scikit-learn.org/stable/modules/linear_model.html),904.0,+67/-219,0.0,48.31,47.45,41.326,909.67,0.609,✔️,0.0,False,CPU
-53,📏,Baseline,[Linear (tuned)](https://scikit-learn.org/stable/modules/linear_model.html),887.0,+67/-207,0.0,48.94,47.93,42.282,909.67,0.107,✔️,0.0,False,CPU
-54,🌳,Tree-based,[ExtraTrees (default)](https://link.springer.com/article/10.1007/s10994-006-6226-1),886.0,+164/-237,0.003,49.0,46.02,40.712,0.76,0.153,✔️,0.0,False,CPU
-55,📏,Baseline,[KNN (tuned)](https://scikit-learn.org/stable/modules/neighbors.html),785.0,+282/-876,0.075,52.12,43.3,50.559,155.52,0.191,✔️,0.0,False,CPU
-56,🧠⚡,Foundation Model,[TabFlex (default)](https://arxiv.org/abs/2506.05584),765.0,+98/-218,0.0,52.62,52.31,41.42,4.67,0.855,➖,0.0,False,GPU
-57,📏,Baseline,[Linear (default)](https://scikit-learn.org/stable/modules/linear_model.html),699.0,+85/-257,0.0,54.12,53.86,48.104,4.62,0.135,✔️,0.0,False,CPU
-58,📏,Baseline,[KNN (default)](https://scikit-learn.org/stable/modules/neighbors.html),-304.0,+191/-698,0.0,59.0,59.0,70.927,0.52,0.075,✔️,0.0,False,CPU
diff --git a/data/imputation_yes/splits_lite/tasks_multiclass/datasets_all/winrate_matrix.png.zip b/data/imputation_yes/splits_lite/tasks_multiclass/datasets_all/winrate_matrix.png.zip
deleted file mode 100644
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diff --git a/data/imputation_yes/splits_lite/tasks_multiclass/datasets_medium/website_leaderboard.csv b/data/imputation_yes/splits_lite/tasks_multiclass/datasets_medium/website_leaderboard.csv
deleted file mode 100644
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+++ /dev/null
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-#,Type,TypeName,Model,Elo [⬆️],Elo 95% CI,Score [⬆️],Rank [⬇️],Harmonic Rank [⬇️],Improvability (%) [⬇️],Median Train Time (s/1K) [⬇️],Median Predict Time (s/1K) [⬇️],Verified,Imputed (%) [⬇️],Imputed,Hardware
-0,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned + ensembled)](https://arxiv.org/abs/2511.08667),25529.0,+0/-0,1.0,1.0,1.0,0.0,134.59,8.308,✔️,0.0,False,GPU
-1,📊,Reference Pipeline,"[AutoGluon 1.4 (best, 4h)](https://arxiv.org/abs/2003.06505)",24211.0,+0/-0,0.936,2.0,2.0,1.729,276.98,4.897,✔️,0.0,False,CPU
-2,📊,Reference Pipeline,"[AutoGluon 1.4 (extreme, 4h)](https://arxiv.org/abs/2003.06505)",22594.0,+0/-0,0.918,3.0,3.0,2.208,276.84,3.303,✔️,0.0,False,GPU
-3,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned)](https://arxiv.org/abs/2511.08667),20725.0,+0/-0,0.886,4.0,4.0,3.024,134.59,2.819,✔️,0.0,False,GPU
-4,🌳,Tree-based,[EBM (tuned + ensembled)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),19652.0,+0/-0,0.588,5.0,5.0,10.141,7855.1,0.565,✔️,0.0,False,CPU
-5,🌳,Tree-based,[RandomForest (tuned + ensembled)](https://link.springer.com/article/10.1023/A:1010933404324),18457.0,+0/-0,0.583,6.0,6.0,10.238,61.47,0.154,✔️,0.0,False,CPU
-6,🌳,Tree-based,[LightGBM (tuned + ensembled)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),17698.0,+0/-0,0.58,7.0,7.0,10.303,157.4,4.579,✔️,0.0,False,CPU
-7,🌳,Tree-based,[LightGBM (tuned)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),16836.0,+0/-0,0.579,8.0,8.0,10.333,157.4,0.401,✔️,0.0,False,CPU
-8,🌳,Tree-based,[RandomForest (tuned)](https://link.springer.com/article/10.1023/A:1010933404324),16053.0,+0/-0,0.564,9.0,9.0,10.67,61.47,0.015,✔️,0.0,False,CPU
-9,🌳,Tree-based,[CatBoost (tuned)](https://arxiv.org/abs/1706.09516),15299.0,+0/-0,0.538,10.0,10.0,11.231,2687.46,0.361,✔️,0.0,False,CPU
-10,🌳,Tree-based,[EBM (tuned)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),14521.0,+0/-0,0.535,11.0,11.0,11.295,7855.1,0.048,✔️,0.0,False,CPU
-11,🌳,Tree-based,[CatBoost (tuned + ensembled)](https://arxiv.org/abs/1706.09516),13703.0,+0/-0,0.531,12.0,12.0,11.389,2687.46,0.793,✔️,0.0,False,CPU
-12,🌳,Tree-based,[XGBoost (tuned + ensembled)](https://arxiv.org/abs/1603.02754),12920.0,+0/-0,0.528,13.0,13.0,11.441,456.33,1.171,✔️,0.0,False,CPU
-13,🌳,Tree-based,[XGBoost (tuned)](https://arxiv.org/abs/1603.02754),12173.0,+0/-0,0.515,14.0,14.0,11.722,456.33,0.047,✔️,0.0,False,CPU
-14,🌳,Tree-based,[XGBoost (default)](https://arxiv.org/abs/1603.02754),11454.0,+0/-0,0.515,15.0,15.0,11.722,0.32,0.047,✔️,0.0,False,CPU
-15,🌳,Tree-based,[CatBoost (default)](https://arxiv.org/abs/1706.09516),10661.0,+0/-0,0.447,16.0,16.0,13.143,8.22,0.049,✔️,0.0,False,CPU
-16,🧠🔁,Neural Network,[ModernNCA (tuned + ensembled)](https://arxiv.org/abs/2407.03257),9930.0,+0/-0,0.436,17.0,17.0,13.383,4378.82,25.595,✔️,0.0,False,GPU
-17,🌳,Tree-based,[EBM (default)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),9235.0,+0/-0,0.404,18.0,18.0,14.026,20.73,0.079,✔️,0.0,False,CPU
-18,🧠🔁,Neural Network,[ModernNCA (tuned)](https://arxiv.org/abs/2407.03257),8520.0,+0/-0,0.403,19.0,19.0,14.047,4378.82,2.216,✔️,0.0,False,GPU
-19,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (default)](https://arxiv.org/abs/2511.08667),7765.0,+0/-0,0.374,20.0,20.0,14.639,1.48,0.535,✔️,0.0,False,GPU
-20,🧠⚡,Foundation Model,[TabICL (default)](https://arxiv.org/abs/2502.05564),7045.0,+0/-0,0.312,21.0,21.0,15.857,2.79,1.057,✔️,0.0,False,GPU
-21,🌳,Tree-based,[ExtraTrees (tuned + ensembled)](https://link.springer.com/article/10.1007/s10994-006-6226-1),6363.0,+0/-0,0.27,22.0,22.0,16.662,20.88,0.359,✔️,0.0,False,CPU
-22,🌳,Tree-based,[ExtraTrees (tuned)](https://link.springer.com/article/10.1007/s10994-006-6226-1),5667.0,+0/-0,0.135,23.0,23.0,19.143,20.88,0.026,✔️,0.0,False,CPU
-23,🧠⚡,Foundation Model,[TabDPT (tuned + ensembled)](https://arxiv.org/abs/2410.18164),4962.0,+0/-0,0.085,24.0,24.0,20.028,4390.96,275.957,✔️,0.0,False,GPU
-24,🧠🔁,Neural Network,[TorchMLP (tuned)](https://arxiv.org/abs/2003.06505),4493.0,+0/-0,0.051,25.0,25.0,20.621,2341.91,0.027,✔️,0.0,False,CPU
-25,🧠🔁,Neural Network,[ModernNCA (default)](https://arxiv.org/abs/2407.03257),3732.0,+0/-0,0.032,26.0,26.0,20.955,14.53,1.747,✔️,0.0,False,GPU
-26,🧠🔁,Neural Network,[TorchMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),3107.0,+0/-0,0.028,27.0,27.0,21.025,2341.91,0.172,✔️,0.0,False,CPU
-27,🧠🔁,Neural Network,[TabM (tuned + ensembled)](https://arxiv.org/abs/2410.24210),2386.0,+0/-0,0.0,28.0,28.0,21.961,1993.57,0.469,✔️,0.0,False,GPU
-28,🧠🔁,Neural Network,[TabM (tuned)](https://arxiv.org/abs/2410.24210),1761.0,+0/-0,0.0,29.0,29.0,22.049,1993.57,0.055,✔️,0.0,False,GPU
-29,🌳,Tree-based,[RandomForest (default)](https://link.springer.com/article/10.1023/A:1010933404324),1000.0,+0/-0,0.0,30.0,30.0,24.001,0.18,0.007,✔️,0.0,False,CPU
-30,🧠⚡,Foundation Model,[TabDPT (tuned)](https://arxiv.org/abs/2410.18164),531.0,+0/-0,0.0,31.0,31.0,24.06,4390.96,38.525,✔️,0.0,False,GPU
-31,🧠⚡,Foundation Model,[TabDPT (default)](https://arxiv.org/abs/2410.18164),-174.0,+0/-0,0.0,32.0,32.0,24.187,41.21,39.406,✔️,0.0,False,GPU
-32,🧠🔁,Neural Network,[RealMLP (tuned + ensembled)](https://arxiv.org/abs/2407.04491),-870.0,+0/-0,0.0,33.0,33.0,24.591,1322.48,0.546,✔️,0.0,False,GPU
-33,🧠⚡,Foundation Model,[SAP-RPT-OSS (default)](https://arxiv.org/abs/2506.10707),-1552.0,+0/-0,0.0,34.0,34.0,24.684,9.89,9.237,➖,0.0,False,GPU
-34,🧠🔁,Neural Network,[RealMLP (tuned)](https://arxiv.org/abs/2407.04491),-2272.0,+0/-0,0.0,35.0,35.0,25.183,1322.48,0.055,✔️,0.0,False,GPU
-35,🌳,Tree-based,[LightGBM (default)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),-3027.0,+0/-0,0.0,36.0,36.0,26.439,0.21,0.047,✔️,0.0,False,CPU
-36,❓,Other,[xRFM (tuned + ensembled)](https://arxiv.org/abs/2508.10053),-3742.0,+0/-0,0.0,37.0,37.0,29.215,2009.11,3.767,✔️,0.0,False,GPU
-37,❓,Other,[xRFM (tuned)](https://arxiv.org/abs/2508.10053),-4436.0,+0/-0,0.0,38.0,38.0,30.84,2009.11,0.974,✔️,0.0,False,GPU
-38,🧠🔁,Neural Network,[TabM (default)](https://arxiv.org/abs/2410.24210),-5168.0,+0/-0,0.0,39.0,39.0,31.796,6.84,0.09,✔️,0.0,False,GPU
-39,🧠🔁,Neural Network,[TorchMLP (default)](https://arxiv.org/abs/2003.06505),-5961.0,+0/-0,0.0,40.0,40.0,31.813,3.34,0.028,✔️,0.0,False,CPU
-40,🧠⚡,Foundation Model,[BetaTabPFN (default)](https://arxiv.org/abs/2502.02527),-6680.0,+0/-0,0.0,41.0,41.0,34.136,66.06,1.783,➖,0.0,False,GPU
-41,🧠🔁,Neural Network,[RealMLP (default)](https://arxiv.org/abs/2407.04491),-7427.0,+0/-0,0.0,42.0,42.0,38.819,6.51,0.162,✔️,0.0,False,GPU
-42,🧠🔁,Neural Network,[FastaiMLP (tuned)](https://arxiv.org/abs/2003.06505),-8210.0,+0/-0,0.0,43.0,43.0,41.321,553.48,0.174,✔️,0.0,False,CPU
-43,🧠🔁,Neural Network,[FastaiMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),-9028.0,+0/-0,0.0,44.0,44.0,42.976,553.48,1.636,✔️,0.0,False,CPU
-44,🌳,Tree-based,[ExtraTrees (default)](https://link.springer.com/article/10.1007/s10994-006-6226-1),-9806.0,+0/-0,0.0,45.0,45.0,50.562,0.08,0.017,✔️,0.0,False,CPU
-45,🧠🔁,Neural Network,[FastaiMLP (default)](https://arxiv.org/abs/2003.06505),-10560.0,+0/-0,0.0,46.0,46.0,52.296,2.73,0.083,✔️,0.0,False,CPU
-46,📏,Baseline,[Linear (tuned + ensembled)](https://scikit-learn.org/stable/modules/linear_model.html),-11343.0,+0/-0,0.0,47.0,47.0,52.871,30.19,0.134,✔️,0.0,False,CPU
-47,📏,Baseline,[Linear (tuned)](https://scikit-learn.org/stable/modules/linear_model.html),-12204.0,+0/-0,0.0,48.0,48.0,55.965,30.19,0.017,✔️,0.0,False,CPU
-48,📏,Baseline,[Linear (default)](https://scikit-learn.org/stable/modules/linear_model.html),-12964.0,+0/-0,0.0,49.0,49.0,56.26,0.13,0.015,✔️,0.0,False,CPU
-49,📏,Baseline,[KNN (tuned + ensembled)](https://scikit-learn.org/stable/modules/neighbors.html),-14158.0,+0/-0,0.0,50.0,50.0,57.211,76.41,2.853,✔️,0.0,False,CPU
-50,❓,Other,[xRFM (default)](https://arxiv.org/abs/2508.10053),-15232.0,+0/-0,0.0,51.0,51.0,57.769,3.14,0.921,✔️,0.0,False,GPU
-51,🧠⚡,Foundation Model,[TabFlex (default)](https://arxiv.org/abs/2506.05584),-17101.0,+0/-0,0.0,52.0,52.0,57.822,0.11,0.023,➖,0.0,False,GPU
-52,📏,Baseline,[KNN (tuned)](https://scikit-learn.org/stable/modules/neighbors.html),-18718.0,+0/-0,0.0,53.0,53.0,70.703,76.41,0.258,✔️,0.0,False,CPU
-53,📏,Baseline,[KNN (default)](https://scikit-learn.org/stable/modules/neighbors.html),-20036.0,+0/-0,0.0,54.0,54.0,83.729,0.14,0.123,✔️,0.0,False,CPU
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-#,Type,TypeName,Model,Elo [⬆️],Elo 95% CI,Score [⬆️],Rank [⬇️],Harmonic Rank [⬇️],Improvability (%) [⬇️],Median Train Time (s/1K) [⬇️],Median Predict Time (s/1K) [⬇️],Verified,Imputed (%) [⬇️],Imputed,Hardware
-0,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned + ensembled)](https://arxiv.org/abs/2511.08667),1734.0,+485/-194,0.776,6.71,1.83,2.066,2837.96,9.546,✔️,0.0,False,GPU
-1,📊,Reference Pipeline,"[AutoGluon 1.4 (extreme, 4h)](https://arxiv.org/abs/2003.06505)",1675.0,+206/-86,0.689,8.57,6.14,12.349,1060.41,10.928,✔️,0.0,False,GPU
-2,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned)](https://arxiv.org/abs/2511.08667),1673.0,+321/-157,0.65,8.64,4.79,10.895,2837.96,1.134,✔️,0.0,False,GPU
-3,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (default)](https://arxiv.org/abs/2511.08667),1575.0,+331/-155,0.54,12.64,5.81,9.756,10.97,0.856,✔️,0.0,False,GPU
-4,🧠🔁,Neural Network,[LimiX (default)](https://arxiv.org/abs/2509.03505),1571.0,+183/-87,0.523,12.86,7.77,10.653,6.19,1.301,➖,0.0,False,GPU
-5,🧠🔁,Neural Network,[RealMLP (tuned + ensembled)](https://arxiv.org/abs/2407.04491),1512.0,+227/-112,0.453,15.86,5.12,14.183,4655.15,21.791,✔️,0.0,False,GPU
-6,🧠⚡,Foundation Model,[TabPFNv2 (tuned + ensembled) [14.29% IMPUTED]](https://www.nature.com/articles/s41586-024-08328-6),1497.0,+341/-196,0.508,16.64,6.11,17.32,2969.66,17.821,✔️,14.29,True,GPU
-7,🧠🔁,Neural Network,[RealMLP (tuned)](https://arxiv.org/abs/2407.04491),1475.0,+178/-124,0.399,17.86,14.43,14.644,4655.15,4.031,✔️,0.0,False,GPU
-8,🧠🔁,Neural Network,[Mitra (default) [14.29% IMPUTED]](https://arxiv.org/abs/2510.21204),1467.0,+220/-179,0.435,18.36,12.79,18.18,202.6,4.622,✔️,14.29,True,GPU
-9,📊,Reference Pipeline,"[AutoGluon 1.4 (best, 4h)](https://arxiv.org/abs/2003.06505)",1466.0,+260/-108,0.437,18.43,5.16,15.834,6318.92,3.195,✔️,0.0,False,CPU
-10,🌳,Tree-based,[CatBoost (tuned + ensembled)](https://arxiv.org/abs/1706.09516),1446.0,+194/-100,0.322,19.57,15.84,15.543,3375.11,1.208,✔️,0.0,False,CPU
-11,🧠🔁,Neural Network,[TabM (tuned + ensembled)](https://arxiv.org/abs/2410.24210),1439.0,+147/-109,0.353,20.0,13.21,18.233,5729.39,1.817,✔️,0.0,False,GPU
-12,🌳,Tree-based,[CatBoost (tuned)](https://arxiv.org/abs/1706.09516),1430.0,+158/-56,0.301,20.57,17.06,16.169,3375.11,0.132,✔️,0.0,False,CPU
-13,🧠🔁,Neural Network,[TabM (tuned)](https://arxiv.org/abs/2410.24210),1426.0,+160/-115,0.348,20.86,11.75,18.608,5729.39,0.373,✔️,0.0,False,GPU
-14,🧠⚡,Foundation Model,[TabDPT (tuned + ensembled)](https://arxiv.org/abs/2410.18164),1424.0,+213/-178,0.403,21.0,10.65,19.367,10182.26,399.569,✔️,0.0,False,GPU
-15,❓,Other,[xRFM (tuned + ensembled)](https://arxiv.org/abs/2508.10053),1419.0,+169/-183,0.335,21.29,8.59,17.962,2149.3,2.928,✔️,0.0,False,GPU
-16,🌳,Tree-based,[LightGBM (tuned + ensembled)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1414.0,+179/-97,0.277,21.57,15.42,17.093,1394.84,3.578,✔️,0.0,False,CPU
-17,🌳,Tree-based,[LightGBM (tuned)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1406.0,+206/-97,0.278,22.14,14.55,17.176,1394.84,1.087,✔️,0.0,False,CPU
-18,🧠⚡,Foundation Model,[TabPFNv2 (default) [14.29% IMPUTED]](https://www.nature.com/articles/s41586-024-08328-6),1388.0,+206/-183,0.33,23.21,12.53,17.374,6.0,0.388,✔️,14.29,True,GPU
-19,🧠⚡,Foundation Model,[TabPFNv2 (tuned) [14.29% IMPUTED]](https://www.nature.com/articles/s41586-024-08328-6),1384.0,+239/-188,0.316,23.5,14.2,19.05,2969.66,0.477,✔️,14.29,True,GPU
-20,🧠⚡,Foundation Model,[SAP-RPT-OSS (default)](https://arxiv.org/abs/2506.10707),1362.0,+276/-242,0.418,24.86,7.39,20.095,22.26,1.556,➖,0.0,False,GPU
-21,🌳,Tree-based,[XGBoost (tuned + ensembled)](https://arxiv.org/abs/1603.02754),1356.0,+85/-58,0.164,25.29,24.18,17.736,2342.58,5.131,✔️,0.0,False,CPU
-22,🌳,Tree-based,[XGBoost (tuned)](https://arxiv.org/abs/1603.02754),1356.0,+94/-75,0.179,25.29,23.38,17.42,2342.58,1.065,✔️,0.0,False,CPU
-23,🧠⚡,Foundation Model,[TabDPT (tuned)](https://arxiv.org/abs/2410.18164),1351.0,+252/-195,0.348,25.57,5.56,20.345,10182.26,40.124,✔️,0.0,False,GPU
-24,🧠🔁,Neural Network,[TabM (default)](https://arxiv.org/abs/2410.24210),1349.0,+182/-133,0.26,25.71,14.75,20.76,19.13,0.146,✔️,0.0,False,GPU
-25,🧠🔁,Neural Network,[ModernNCA (tuned + ensembled)](https://arxiv.org/abs/2407.03257),1339.0,+147/-114,0.182,26.36,21.78,18.825,6994.17,9.554,✔️,0.0,False,GPU
-26,❓,Other,[xRFM (tuned)](https://arxiv.org/abs/2508.10053),1331.0,+193/-191,0.265,26.86,5.51,19.587,2149.3,0.147,✔️,0.0,False,GPU
-27,🧠🔁,Neural Network,[ModernNCA (tuned)](https://arxiv.org/abs/2407.03257),1321.0,+154/-140,0.144,27.5,21.88,19.122,6994.17,0.583,✔️,0.0,False,GPU
-28,🧠⚡,Foundation Model,[BetaTabPFN (default)](https://arxiv.org/abs/2502.02527),1318.0,+162/-121,0.219,27.71,21.35,20.198,326.23,4.282,➖,0.0,False,GPU
-29,🌳,Tree-based,[ExtraTrees (tuned + ensembled)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1302.0,+191/-229,0.226,28.79,13.55,22.319,772.2,2.495,✔️,0.0,False,CPU
-30,🧠⚡,Foundation Model,[TabICL (default) [14.29% IMPUTED]](https://arxiv.org/abs/2502.05564),1300.0,+249/-187,0.251,28.93,7.93,24.353,11.7,2.132,✔️,14.29,True,GPU
-31,🌳,Tree-based,[CatBoost (default)](https://arxiv.org/abs/1706.09516),1284.0,+117/-70,0.111,30.0,27.91,19.353,57.99,0.317,✔️,0.0,False,CPU
-32,🌳,Tree-based,[ExtraTrees (tuned)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1277.0,+183/-217,0.211,30.5,13.67,22.113,772.2,0.373,✔️,0.0,False,CPU
-33,🌳,Tree-based,[EBM (tuned + ensembled)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1273.0,+125/-98,0.131,30.71,24.16,21.656,44054.5,0.843,✔️,0.0,False,CPU
-34,🧠🔁,Neural Network,[TorchMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1267.0,+135/-120,0.138,31.14,27.61,21.802,3833.57,2.294,✔️,0.0,False,CPU
-35,🌳,Tree-based,[RandomForest (tuned + ensembled)](https://link.springer.com/article/10.1023/A:1010933404324),1260.0,+192/-270,0.218,31.57,18.92,22.276,731.01,2.021,✔️,0.0,False,CPU
-36,🧠🔁,Neural Network,[FastaiMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1258.0,+250/-215,0.191,31.71,20.7,23.176,2750.22,13.569,✔️,0.0,False,CPU
-37,🧠⚡,Foundation Model,[TabDPT (default)](https://arxiv.org/abs/2410.18164),1226.0,+236/-230,0.245,33.71,9.8,24.042,51.52,40.219,✔️,0.0,False,GPU
-38,🌳,Tree-based,[LightGBM (default)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1223.0,+182/-211,0.146,33.86,25.21,22.488,5.15,0.526,✔️,0.0,False,CPU
-39,🧠🔁,Neural Network,[TorchMLP (tuned)](https://arxiv.org/abs/2003.06505),1221.0,+182/-164,0.13,34.0,21.26,23.947,3833.57,0.22,✔️,0.0,False,CPU
-40,🌳,Tree-based,[EBM (default)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1216.0,+118/-133,0.102,34.29,31.15,23.403,14.99,0.113,✔️,0.0,False,CPU
-41,🌳,Tree-based,[EBM (tuned)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1214.0,+121/-121,0.117,34.43,30.23,23.217,44054.5,0.068,✔️,0.0,False,CPU
-42,🌳,Tree-based,[RandomForest (tuned)](https://link.springer.com/article/10.1023/A:1010933404324),1180.0,+136/-212,0.137,36.57,25.97,23.958,731.01,0.334,✔️,0.0,False,CPU
-43,🌳,Tree-based,[XGBoost (default)](https://arxiv.org/abs/1603.02754),1168.0,+54/-73,0.0,37.29,36.45,21.807,5.38,0.624,✔️,0.0,False,CPU
-44,🧠🔁,Neural Network,[RealMLP (default)](https://arxiv.org/abs/2407.04491),1166.0,+123/-178,0.072,37.43,33.02,23.313,20.63,7.532,✔️,0.0,False,GPU
-45,❓,Other,[xRFM (default)](https://arxiv.org/abs/2508.10053),1161.0,+152/-221,0.063,37.71,32.57,24.905,9.4,1.444,✔️,0.0,False,GPU
-46,🧠🔁,Neural Network,[FastaiMLP (tuned)](https://arxiv.org/abs/2003.06505),1144.0,+205/-212,0.093,38.71,30.39,25.292,2750.22,1.239,✔️,0.0,False,CPU
-47,🧠🔁,Neural Network,[ModernNCA (default)](https://arxiv.org/abs/2407.03257),1103.0,+121/-140,0.008,41.0,38.78,28.196,19.64,0.478,✔️,0.0,False,GPU
-48,📏,Baseline,[KNN (tuned + ensembled)](https://scikit-learn.org/stable/modules/neighbors.html),1084.0,+253/-448,0.148,42.0,25.75,35.799,180.38,1.24,✔️,0.0,False,CPU
-49,🧠🔁,Neural Network,[TorchMLP (default)](https://arxiv.org/abs/2003.06505),1008.0,+131/-208,0.0,45.71,44.11,30.387,14.87,0.391,✔️,0.0,False,CPU
-50,🌳,Tree-based,[RandomForest (default)](https://link.springer.com/article/10.1023/A:1010933404324),1000.0,+98/-268,0.0,46.07,44.54,37.213,0.78,0.155,✔️,0.0,False,CPU
-51,🧠🔁,Neural Network,[FastaiMLP (default)](https://arxiv.org/abs/2003.06505),978.0,+191/-292,0.025,47.0,43.11,31.994,8.78,0.688,✔️,0.0,False,CPU
-52,📏,Baseline,[Linear (tuned + ensembled)](https://scikit-learn.org/stable/modules/linear_model.html),959.0,+69/-219,0.0,47.79,46.87,39.676,913.1,0.738,✔️,0.0,False,CPU
-53,📏,Baseline,[Linear (tuned)](https://scikit-learn.org/stable/modules/linear_model.html),944.0,+77/-256,0.0,48.36,47.28,40.327,913.1,0.13,✔️,0.0,False,CPU
-54,🌳,Tree-based,[ExtraTrees (default)](https://link.springer.com/article/10.1007/s10994-006-6226-1),931.0,+172/-292,0.004,48.86,45.5,39.305,0.77,0.156,✔️,0.0,False,CPU
-55,📏,Baseline,[KNN (tuned)](https://scikit-learn.org/stable/modules/neighbors.html),858.0,+282/-873,0.086,51.29,41.78,47.681,180.38,0.136,✔️,0.0,False,CPU
-56,🧠⚡,Foundation Model,[TabFlex (default)](https://arxiv.org/abs/2506.05584),833.0,+82/-234,0.0,52.0,51.7,39.077,5.48,0.91,➖,0.0,False,GPU
-57,📏,Baseline,[Linear (default)](https://scikit-learn.org/stable/modules/linear_model.html),741.0,+91/-267,0.0,54.14,53.83,46.939,4.65,0.14,✔️,0.0,False,CPU
-58,📏,Baseline,[KNN (default)](https://scikit-learn.org/stable/modules/neighbors.html),-282.0,+208/-523,0.0,59.0,59.0,69.099,0.58,0.071,✔️,0.0,False,CPU
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-#,Type,TypeName,Model,Elo [⬆️],Elo 95% CI,Score [⬆️],Rank [⬇️],Harmonic Rank [⬇️],Improvability (%) [⬇️],Median Train Time (s/1K) [⬇️],Median Predict Time (s/1K) [⬇️],Verified,Imputed (%) [⬇️],Imputed,Hardware
-0,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned + ensembled)](https://arxiv.org/abs/2511.08667),1985.0,+819/-92,0.874,3.17,1.58,2.191,2793.65,8.93,✔️,0.0,False,GPU
-1,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned)](https://arxiv.org/abs/2511.08667),1838.0,+303/-74,0.726,5.58,4.21,12.495,2793.65,1.02,✔️,0.0,False,GPU
-2,📊,Reference Pipeline,"[AutoGluon 1.4 (extreme, 4h)](https://arxiv.org/abs/2003.06505)",1727.0,+326/-137,0.684,8.5,5.83,14.332,1295.16,14.354,✔️,0.0,False,GPU
-3,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (default)](https://arxiv.org/abs/2511.08667),1699.0,+521/-146,0.63,9.42,5.11,11.083,9.88,0.825,✔️,0.0,False,GPU
-4,🧠⚡,Foundation Model,[TabPFNv2 (tuned + ensembled)](https://www.nature.com/articles/s41586-024-08328-6),1668.0,+331/-107,0.592,10.5,5.33,14.698,3561.2,34.413,✔️,0.0,False,GPU
-5,🧠🔁,Neural Network,[LimiX (default)](https://arxiv.org/abs/2509.03505),1616.0,+349/-106,0.503,12.5,7.2,12.332,5.93,0.989,➖,0.0,False,GPU
-6,🧠🔁,Neural Network,[RealMLP (tuned + ensembled)](https://arxiv.org/abs/2407.04491),1604.0,+232/-93,0.529,13.0,4.49,16.24,4334.8,21.159,✔️,0.0,False,GPU
-7,🧠🔁,Neural Network,[Mitra (default)](https://arxiv.org/abs/2510.21204),1604.0,+181/-40,0.508,13.0,11.38,15.748,206.59,4.778,✔️,0.0,False,GPU
-8,🧠🔁,Neural Network,[RealMLP (tuned)](https://arxiv.org/abs/2407.04491),1567.0,+189/-61,0.465,14.67,13.1,16.59,4334.8,3.529,✔️,0.0,False,GPU
-9,🌳,Tree-based,[CatBoost (tuned + ensembled)](https://arxiv.org/abs/1706.09516),1506.0,+200/-100,0.376,17.67,14.64,17.857,3307.58,1.182,✔️,0.0,False,CPU
-10,🧠⚡,Foundation Model,[TabPFNv2 (tuned)](https://www.nature.com/articles/s41586-024-08328-6),1489.0,+288/-107,0.369,18.5,12.65,16.716,3561.2,0.612,✔️,0.0,False,GPU
-11,🧠⚡,Foundation Model,[TabPFNv2 (default)](https://www.nature.com/articles/s41586-024-08328-6),1486.0,+335/-131,0.385,18.67,11.14,14.808,5.48,0.434,✔️,0.0,False,GPU
-12,📊,Reference Pipeline,"[AutoGluon 1.4 (best, 4h)](https://arxiv.org/abs/2003.06505)",1477.0,+342/-144,0.402,19.17,4.67,18.377,6700.69,3.268,✔️,0.0,False,CPU
-13,🌳,Tree-based,[CatBoost (tuned)](https://arxiv.org/abs/1706.09516),1461.0,+178/-67,0.299,20.0,16.28,18.68,3307.58,0.108,✔️,0.0,False,CPU
-14,🧠⚡,Foundation Model,[SAP-RPT-OSS (default)](https://arxiv.org/abs/2506.10707),1433.0,+592/-306,0.488,21.5,6.49,22.111,21.84,1.394,➖,0.0,False,GPU
-15,🧠⚡,Foundation Model,[TabDPT (tuned + ensembled)](https://arxiv.org/abs/2410.18164),1430.0,+312/-243,0.375,21.67,10.03,22.477,9411.86,433.416,✔️,0.0,False,GPU
-16,🧠🔁,Neural Network,[TabM (tuned + ensembled)](https://arxiv.org/abs/2410.24210),1422.0,+263/-141,0.275,22.17,15.51,21.223,5568.31,1.781,✔️,0.0,False,GPU
-17,🌳,Tree-based,[XGBoost (tuned)](https://arxiv.org/abs/1603.02754),1405.0,+164/-47,0.209,23.17,21.97,19.816,2029.77,1.073,✔️,0.0,False,CPU
-18,🌳,Tree-based,[LightGBM (tuned + ensembled)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1402.0,+229/-82,0.213,23.33,16.53,19.85,1280.01,5.479,✔️,0.0,False,CPU
-19,🧠🔁,Neural Network,[TabM (tuned)](https://arxiv.org/abs/2410.24210),1399.0,+221/-145,0.263,23.5,15.15,21.671,5568.31,0.372,✔️,0.0,False,GPU
-20,🌳,Tree-based,[XGBoost (tuned + ensembled)](https://arxiv.org/abs/1603.02754),1399.0,+112/-36,0.191,23.5,22.92,20.228,2029.77,6.631,✔️,0.0,False,CPU
-21,🌳,Tree-based,[LightGBM (tuned)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1394.0,+265/-96,0.216,23.83,15.08,19.946,1280.01,1.143,✔️,0.0,False,CPU
-22,🧠🔁,Neural Network,[ModernNCA (tuned + ensembled)](https://arxiv.org/abs/2407.03257),1387.0,+180/-132,0.213,24.25,20.29,21.447,6829.34,7.818,✔️,0.0,False,GPU
-23,❓,Other,[xRFM (tuned + ensembled)](https://arxiv.org/abs/2508.10053),1382.0,+259/-209,0.241,24.5,19.06,20.929,2059.45,3.769,✔️,0.0,False,GPU
-24,🧠⚡,Foundation Model,[TabICL (default)](https://arxiv.org/abs/2502.05564),1369.0,+370/-235,0.293,25.33,6.95,22.95,13.87,2.152,✔️,0.0,False,GPU
-25,🧠🔁,Neural Network,[ModernNCA (tuned)](https://arxiv.org/abs/2407.03257),1367.0,+232/-176,0.168,25.42,20.34,21.793,6829.34,0.53,✔️,0.0,False,GPU
-26,🧠🔁,Neural Network,[TabM (default)](https://arxiv.org/abs/2410.24210),1346.0,+255/-174,0.224,26.67,14.13,24.08,17.09,0.145,✔️,0.0,False,GPU
-27,🧠⚡,Foundation Model,[TabDPT (tuned)](https://arxiv.org/abs/2410.18164),1343.0,+323/-276,0.318,26.83,4.99,23.608,9411.86,42.924,✔️,0.0,False,GPU
-28,🧠⚡,Foundation Model,[BetaTabPFN (default)](https://arxiv.org/abs/2502.02527),1309.0,+234/-162,0.189,28.83,21.41,23.403,410.08,4.104,➖,0.0,False,GPU
-29,🧠🔁,Neural Network,[FastaiMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1292.0,+336/-351,0.223,29.83,19.05,26.238,2721.87,14.595,✔️,0.0,False,CPU
-30,🌳,Tree-based,[CatBoost (default)](https://arxiv.org/abs/1706.09516),1287.0,+129/-116,0.107,30.17,27.74,22.348,155.57,0.254,✔️,0.0,False,CPU
-31,❓,Other,[xRFM (tuned)](https://arxiv.org/abs/2508.10053),1270.0,+286/-229,0.143,31.17,22.23,22.852,2059.45,0.127,✔️,0.0,False,GPU
-32,🌳,Tree-based,[EBM (tuned + ensembled)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1264.0,+194/-149,0.115,31.5,23.88,25.058,27108.48,0.742,✔️,0.0,False,CPU
-33,🧠🔁,Neural Network,[TorchMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1253.0,+196/-195,0.114,32.17,28.09,25.243,4370.77,2.162,✔️,0.0,False,CPU
-34,🌳,Tree-based,[ExtraTrees (tuned + ensembled)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1238.0,+248/-283,0.117,33.0,25.98,26.005,728.32,2.548,✔️,0.0,False,CPU
-35,🧠⚡,Foundation Model,[TabDPT (default)](https://arxiv.org/abs/2410.18164),1227.0,+379/-376,0.285,33.67,8.76,27.727,42.75,45.46,✔️,0.0,False,GPU
-36,🌳,Tree-based,[RandomForest (tuned + ensembled)](https://link.springer.com/article/10.1023/A:1010933404324),1210.0,+334/-355,0.146,34.67,20.47,25.893,729.17,2.154,✔️,0.0,False,CPU
-37,🌳,Tree-based,[ExtraTrees (tuned)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1205.0,+263/-259,0.1,35.0,26.53,25.765,728.32,0.356,✔️,0.0,False,CPU
-38,🧠🔁,Neural Network,[RealMLP (default)](https://arxiv.org/abs/2407.04491),1182.0,+162/-209,0.085,36.33,31.71,25.981,19.2,6.922,✔️,0.0,False,GPU
-39,🌳,Tree-based,[EBM (tuned)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1182.0,+160/-204,0.075,36.33,31.9,26.917,27108.48,0.066,✔️,0.0,False,CPU
-40,🌳,Tree-based,[XGBoost (default)](https://arxiv.org/abs/1603.02754),1176.0,+71/-116,0.0,36.67,35.78,24.783,4.93,0.671,✔️,0.0,False,CPU
-41,🌳,Tree-based,[EBM (default)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1173.0,+142/-204,0.038,36.83,34.87,27.166,11.78,0.099,✔️,0.0,False,CPU
-42,🌳,Tree-based,[LightGBM (default)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1155.0,+186/-181,0.053,37.83,33.78,26.155,5.12,0.444,✔️,0.0,False,CPU
-43,🧠🔁,Neural Network,[FastaiMLP (tuned)](https://arxiv.org/abs/2003.06505),1149.0,+268/-333,0.108,38.17,29.05,28.736,2721.87,1.334,✔️,0.0,False,CPU
-44,❓,Other,[xRFM (default)](https://arxiv.org/abs/2508.10053),1149.0,+225/-269,0.074,38.17,32.2,28.727,8.99,1.498,✔️,0.0,False,GPU
-45,🧠🔁,Neural Network,[TorchMLP (tuned)](https://arxiv.org/abs/2003.06505),1139.0,+123/-136,0.009,38.67,36.91,27.899,4370.77,0.22,✔️,0.0,False,CPU
-46,🌳,Tree-based,[RandomForest (tuned)](https://link.springer.com/article/10.1023/A:1010933404324),1133.0,+254/-292,0.095,39.0,26.77,27.785,729.17,0.337,✔️,0.0,False,CPU
-47,🧠🔁,Neural Network,[ModernNCA (default)](https://arxiv.org/abs/2407.03257),1117.0,+145/-209,0.01,39.83,37.58,29.623,17.24,0.42,✔️,0.0,False,GPU
-48,🌳,Tree-based,[RandomForest (default)](https://link.springer.com/article/10.1023/A:1010933404324),1000.0,+140/-390,0.0,45.33,43.69,37.954,0.74,0.148,✔️,0.0,False,CPU
-49,📏,Baseline,[Linear (tuned + ensembled)](https://scikit-learn.org/stable/modules/linear_model.html),976.0,+75/-309,0.0,46.33,45.57,38.521,909.67,0.893,✔️,0.0,False,CPU
-50,📏,Baseline,[Linear (tuned)](https://scikit-learn.org/stable/modules/linear_model.html),958.0,+93/-290,0.0,47.0,46.03,39.28,909.67,0.107,✔️,0.0,False,CPU
-51,🧠🔁,Neural Network,[FastaiMLP (default)](https://arxiv.org/abs/2003.06505),958.0,+222/-468,0.029,47.0,42.52,34.491,8.37,0.685,✔️,0.0,False,CPU
-52,📏,Baseline,[KNN (tuned + ensembled)](https://scikit-learn.org/stable/modules/neighbors.html),940.0,+269/-584,0.037,47.67,40.86,41.716,155.52,1.033,✔️,0.0,False,CPU
-53,🌳,Tree-based,[ExtraTrees (default)](https://link.springer.com/article/10.1007/s10994-006-6226-1),936.0,+247/-400,0.004,47.83,44.23,39.387,0.76,0.153,✔️,0.0,False,CPU
-54,🧠🔁,Neural Network,[TorchMLP (default)](https://arxiv.org/abs/2003.06505),922.0,+94/-257,0.0,48.33,47.86,35.184,14.57,0.363,✔️,0.0,False,CPU
-55,🧠⚡,Foundation Model,[TabFlex (default)](https://arxiv.org/abs/2506.05584),753.0,+61/-325,0.0,53.0,52.79,44.164,4.67,0.855,➖,0.0,False,GPU
-56,📏,Baseline,[Linear (default)](https://scikit-learn.org/stable/modules/linear_model.html),728.0,+119/-375,0.0,53.5,53.2,44.545,4.62,0.135,✔️,0.0,False,CPU
-57,📏,Baseline,[KNN (tuned)](https://scikit-learn.org/stable/modules/neighbors.html),396.0,+125/-910,0.0,57.17,57.13,55.52,155.52,0.12,✔️,0.0,False,CPU
-58,📏,Baseline,[KNN (default)](https://scikit-learn.org/stable/modules/neighbors.html),-404.0,+186/-922,0.0,59.0,59.0,70.032,0.52,0.058,✔️,0.0,False,CPU
diff --git a/data/imputation_yes/splits_lite/tasks_multiclass/datasets_tabpfn/winrate_matrix.png.zip b/data/imputation_yes/splits_lite/tasks_multiclass/datasets_tabpfn/winrate_matrix.png.zip
deleted file mode 100644
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deleted file mode 100644
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diff --git a/data/imputation_yes/splits_lite/tasks_regression/datasets_all/website_leaderboard.csv b/data/imputation_yes/splits_lite/tasks_regression/datasets_all/website_leaderboard.csv
deleted file mode 100644
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-#,Type,TypeName,Model,Elo [⬆️],Elo 95% CI,Score [⬆️],Rank [⬇️],Harmonic Rank [⬇️],Improvability (%) [⬇️],Median Train Time (s/1K) [⬇️],Median Predict Time (s/1K) [⬇️],Verified,Imputed (%) [⬇️],Imputed,Hardware
-0,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned + ensembled)](https://arxiv.org/abs/2511.08667),1867.0,+269/-162,0.799,5.54,2.46,1.248,2043.44,8.369,✔️,0.0,False,GPU
-1,🧠⚡,Foundation Model,[TabDPT (tuned + ensembled)](https://arxiv.org/abs/2410.18164),1788.0,+197/-83,0.731,7.54,2.39,2.558,7125.58,336.907,✔️,0.0,False,GPU
-2,📊,Reference Pipeline,"[AutoGluon 1.4 (extreme, 4h)](https://arxiv.org/abs/2003.06505)",1786.0,+118/-58,0.65,7.62,4.39,2.649,616.43,4.041,✔️,0.0,False,GPU
-3,🧠⚡,Foundation Model,[TabDPT (tuned)](https://arxiv.org/abs/2410.18164),1752.0,+145/-59,0.677,8.62,4.65,3.061,7125.58,38.573,✔️,0.0,False,GPU
-4,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned)](https://arxiv.org/abs/2511.08667),1740.0,+192/-139,0.673,9.0,3.43,2.186,2043.44,0.781,✔️,0.0,False,GPU
-5,📊,Reference Pipeline,"[AutoGluon 1.4 (best, 4h)](https://arxiv.org/abs/2003.06505)",1683.0,+101/-71,0.535,11.0,5.9,4.784,1489.94,5.79,✔️,0.0,False,CPU
-6,🧠🔁,Neural Network,[RealMLP (tuned + ensembled)](https://arxiv.org/abs/2407.04491),1683.0,+103/-55,0.575,11.0,8.92,4.256,4057.12,10.478,✔️,0.0,False,GPU
-7,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (default)](https://arxiv.org/abs/2511.08667),1634.0,+175/-149,0.537,12.92,7.36,3.66,6.94,0.519,✔️,0.0,False,GPU
-8,🧠⚡,Foundation Model,[TabDPT (default)](https://arxiv.org/abs/2410.18164),1632.0,+149/-71,0.543,13.0,6.56,4.24,44.65,38.298,✔️,0.0,False,GPU
-9,🧠🔁,Neural Network,[ModernNCA (tuned + ensembled)](https://arxiv.org/abs/2407.03257),1599.0,+154/-139,0.503,14.38,5.58,6.753,3811.43,7.581,✔️,0.0,False,GPU
-10,🧠🔁,Neural Network,[RealMLP (tuned)](https://arxiv.org/abs/2407.04491),1558.0,+126/-126,0.43,16.23,11.55,5.413,4057.12,0.337,✔️,0.0,False,GPU
-11,🌳,Tree-based,[LightGBM (tuned + ensembled)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1550.0,+98/-64,0.332,16.62,13.77,7.383,686.46,5.477,✔️,0.0,False,CPU
-12,🌳,Tree-based,[CatBoost (tuned + ensembled)](https://arxiv.org/abs/1706.09516),1527.0,+82/-65,0.292,17.69,13.58,7.168,2895.38,1.317,✔️,0.0,False,CPU
-13,❓,Other,[xRFM (tuned + ensembled)](https://arxiv.org/abs/2508.10053),1507.0,+108/-72,0.361,18.69,14.39,6.559,708.95,1.973,✔️,0.0,False,GPU
-14,🧠🔁,Neural Network,[TabM (tuned + ensembled)](https://arxiv.org/abs/2410.24210),1498.0,+135/-94,0.315,19.15,15.21,5.831,4228.53,1.188,✔️,0.0,False,GPU
-15,🌳,Tree-based,[CatBoost (tuned)](https://arxiv.org/abs/1706.09516),1490.0,+110/-88,0.273,19.54,10.81,7.292,2895.38,0.073,✔️,0.0,False,CPU
-16,🧠🔁,Neural Network,[LimiX (default)](https://arxiv.org/abs/2509.03505),1476.0,+205/-177,0.41,20.23,5.11,13.045,5.49,0.754,➖,0.0,False,GPU
-17,🌳,Tree-based,[LightGBM (tuned)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1466.0,+110/-87,0.247,20.77,16.15,8.18,686.46,0.743,✔️,0.0,False,CPU
-18,❓,Other,[xRFM (tuned)](https://arxiv.org/abs/2508.10053),1456.0,+97/-60,0.268,21.23,17.48,7.123,708.95,0.069,✔️,0.0,False,GPU
-19,🌳,Tree-based,[XGBoost (tuned)](https://arxiv.org/abs/1603.02754),1431.0,+57/-51,0.18,22.54,20.94,8.102,848.99,0.475,✔️,0.0,False,CPU
-20,🌳,Tree-based,[XGBoost (tuned + ensembled)](https://arxiv.org/abs/1603.02754),1428.0,+54/-46,0.182,22.69,21.49,8.118,848.99,2.378,✔️,0.0,False,CPU
-21,🧠🔁,Neural Network,[ModernNCA (default)](https://arxiv.org/abs/2407.03257),1418.0,+105/-89,0.223,23.23,19.88,9.404,16.07,0.29,✔️,0.0,False,GPU
-22,🧠🔁,Neural Network,[TabM (tuned)](https://arxiv.org/abs/2410.24210),1404.0,+111/-83,0.204,23.92,21.05,6.664,4228.53,0.125,✔️,0.0,False,GPU
-23,🧠⚡,Foundation Model,[TabPFNv2 (tuned + ensembled) [46.15% IMPUTED]](https://www.nature.com/articles/s41586-024-08328-6),1399.0,+208/-138,0.319,24.19,5.76,6.396,3805.62,10.413,✔️,46.15,True,GPU
-24,🧠🔁,Neural Network,[ModernNCA (tuned)](https://arxiv.org/abs/2407.03257),1397.0,+123/-136,0.267,24.31,14.42,9.279,3811.43,0.452,✔️,0.0,False,GPU
-25,🌳,Tree-based,[CatBoost (default)](https://arxiv.org/abs/1706.09516),1388.0,+115/-127,0.19,24.77,19.81,9.254,8.35,0.087,✔️,0.0,False,CPU
-26,🧠🔁,Neural Network,[Mitra (default) [46.15% IMPUTED]](https://arxiv.org/abs/2510.21204),1344.0,+162/-107,0.211,27.15,12.56,8.579,70.97,1.59,✔️,46.15,True,GPU
-27,🧠🔁,Neural Network,[TabM (default)](https://arxiv.org/abs/2410.24210),1331.0,+119/-112,0.146,27.85,24.69,8.326,13.9,0.123,✔️,0.0,False,GPU
-28,🧠⚡,Foundation Model,[TabPFNv2 (tuned) [46.15% IMPUTED]](https://www.nature.com/articles/s41586-024-08328-6),1304.0,+176/-155,0.216,29.27,16.33,7.904,3805.62,0.262,✔️,46.15,True,GPU
-29,🧠⚡,Foundation Model,[SAP-RPT-OSS (default)](https://arxiv.org/abs/2506.10707),1297.0,+180/-162,0.179,29.62,17.41,9.647,18.76,6.542,➖,0.0,False,GPU
-30,🧠🔁,Neural Network,[RealMLP (default)](https://arxiv.org/abs/2407.04491),1283.0,+119/-105,0.084,30.38,26.79,10.165,9.17,1.416,✔️,0.0,False,GPU
-31,🌳,Tree-based,[ExtraTrees (tuned + ensembled)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1278.0,+111/-112,0.103,30.62,25.56,12.346,161.73,0.784,✔️,0.0,False,CPU
-32,🧠🔁,Neural Network,[TorchMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1272.0,+84/-101,0.075,30.92,27.89,9.496,4452.11,0.852,✔️,0.0,False,CPU
-33,🌳,Tree-based,[ExtraTrees (tuned)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1259.0,+114/-110,0.116,31.62,25.41,12.658,161.73,0.12,✔️,0.0,False,CPU
-34,🧠⚡,Foundation Model,[TabPFNv2 (default) [46.15% IMPUTED]](https://www.nature.com/articles/s41586-024-08328-6),1254.0,+180/-178,0.187,31.85,19.31,9.06,2.78,0.315,✔️,46.15,True,GPU
-35,❓,Other,[xRFM (default)](https://arxiv.org/abs/2508.10053),1231.0,+170/-152,0.085,33.0,14.91,12.992,2.47,0.755,✔️,0.0,False,GPU
-36,🧠🔁,Neural Network,[TorchMLP (tuned)](https://arxiv.org/abs/2003.06505),1219.0,+111/-122,0.055,33.62,29.95,10.114,4452.11,0.089,✔️,0.0,False,CPU
-37,🌳,Tree-based,[LightGBM (default)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1214.0,+70/-95,0.032,33.85,32.42,10.993,2.03,0.296,✔️,0.0,False,CPU
-38,🌳,Tree-based,[XGBoost (default)](https://arxiv.org/abs/1603.02754),1184.0,+93/-116,0.061,35.31,32.28,11.709,2.15,0.18,✔️,0.0,False,CPU
-39,🌳,Tree-based,[EBM (tuned + ensembled)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1181.0,+151/-182,0.118,35.46,24.02,13.499,3017.28,0.248,✔️,0.0,False,CPU
-40,🌳,Tree-based,[RandomForest (tuned + ensembled)](https://link.springer.com/article/10.1023/A:1010933404324),1175.0,+66/-83,0.013,35.77,34.08,13.32,526.17,0.77,✔️,0.0,False,CPU
-41,🌳,Tree-based,[EBM (tuned)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1137.0,+145/-188,0.118,37.54,20.03,14.059,3017.28,0.027,✔️,0.0,False,CPU
-42,🌳,Tree-based,[RandomForest (tuned)](https://link.springer.com/article/10.1023/A:1010933404324),1131.0,+87/-106,0.012,37.81,36.0,14.071,526.17,0.119,✔️,0.0,False,CPU
-43,🌳,Tree-based,[ExtraTrees (default)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1108.0,+102/-110,0.021,38.85,36.58,14.254,0.42,0.061,✔️,0.0,False,CPU
-44,🧠🔁,Neural Network,[FastaiMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1065.0,+82/-107,0.004,40.62,39.37,14.361,527.21,2.831,✔️,0.0,False,CPU
-45,🧠🔁,Neural Network,[TorchMLP (default)](https://arxiv.org/abs/2003.06505),1039.0,+90/-143,0.002,41.62,39.79,14.199,20.5,0.081,✔️,0.0,False,CPU
-46,🌳,Tree-based,[EBM (default)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1027.0,+108/-169,0.05,42.08,39.26,15.156,10.04,0.03,✔️,0.0,False,CPU
-47,🧠🔁,Neural Network,[FastaiMLP (tuned)](https://arxiv.org/abs/2003.06505),1023.0,+102/-119,0.0,42.23,40.98,14.845,527.21,0.311,✔️,0.0,False,CPU
-48,🌳,Tree-based,[RandomForest (default)](https://link.springer.com/article/10.1023/A:1010933404324),1000.0,+65/-90,0.0,43.04,42.5,15.385,0.63,0.064,✔️,0.0,False,CPU
-49,🧠🔁,Neural Network,[FastaiMLP (default)](https://arxiv.org/abs/2003.06505),880.0,+103/-164,0.0,46.69,45.87,18.896,3.08,0.293,✔️,0.0,False,CPU
-50,📏,Baseline,[KNN (tuned + ensembled)](https://scikit-learn.org/stable/modules/neighbors.html),858.0,+126/-174,0.0,47.23,46.37,20.364,90.87,0.906,✔️,0.0,False,CPU
-51,📏,Baseline,[KNN (tuned)](https://scikit-learn.org/stable/modules/neighbors.html),699.0,+105/-201,0.0,50.38,50.19,22.511,90.87,0.055,✔️,0.0,False,CPU
-52,📏,Baseline,[KNN (default)](https://scikit-learn.org/stable/modules/neighbors.html),565.0,+214/-357,0.0,52.15,51.65,29.184,0.25,0.044,✔️,0.0,False,CPU
-53,📏,Baseline,[Linear (tuned + ensembled)](https://scikit-learn.org/stable/modules/linear_model.html),419.0,+111/-304,0.0,53.58,53.52,36.25,177.04,0.14,✔️,0.0,False,CPU
-54,📏,Baseline,[Linear (tuned)](https://scikit-learn.org/stable/modules/linear_model.html),332.0,+140/-396,0.0,54.27,54.2,36.435,177.04,0.059,✔️,0.0,False,CPU
-55,📏,Baseline,[Linear (default)](https://scikit-learn.org/stable/modules/linear_model.html),182.0,+134/-329,0.0,55.23,55.22,38.891,0.88,0.109,✔️,0.0,False,CPU
diff --git a/data/imputation_yes/splits_lite/tasks_regression/datasets_all/winrate_matrix.png.zip b/data/imputation_yes/splits_lite/tasks_regression/datasets_all/winrate_matrix.png.zip
deleted file mode 100644
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--- a/data/imputation_yes/splits_lite/tasks_regression/datasets_all/winrate_matrix.png.zip
+++ /dev/null
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deleted file mode 100644
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diff --git a/data/imputation_yes/splits_lite/tasks_regression/datasets_medium/pareto_front_improvability_vs_time_infer.png.zip b/data/imputation_yes/splits_lite/tasks_regression/datasets_medium/pareto_front_improvability_vs_time_infer.png.zip
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diff --git a/data/imputation_yes/splits_lite/tasks_regression/datasets_medium/tuning-impact-elo.png.zip b/data/imputation_yes/splits_lite/tasks_regression/datasets_medium/tuning-impact-elo.png.zip
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diff --git a/data/imputation_yes/splits_lite/tasks_regression/datasets_medium/website_leaderboard.csv b/data/imputation_yes/splits_lite/tasks_regression/datasets_medium/website_leaderboard.csv
deleted file mode 100644
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--- a/data/imputation_yes/splits_lite/tasks_regression/datasets_medium/website_leaderboard.csv
+++ /dev/null
@@ -1,53 +0,0 @@
-#,Type,TypeName,Model,Elo [⬆️],Elo 95% CI,Score [⬆️],Rank [⬇️],Harmonic Rank [⬇️],Improvability (%) [⬇️],Median Train Time (s/1K) [⬇️],Median Predict Time (s/1K) [⬇️],Verified,Imputed (%) [⬇️],Imputed,Hardware
-0,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned + ensembled)](https://arxiv.org/abs/2511.08667),2034.0,+922/-55,0.839,4.4,3.24,1.163,739.1,11.65,✔️,0.0,False,GPU
-1,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned)](https://arxiv.org/abs/2511.08667),2001.0,+923/-105,0.841,5.0,2.74,1.262,739.1,0.689,✔️,0.0,False,GPU
-2,🧠🔁,Neural Network,[ModernNCA (tuned + ensembled)](https://arxiv.org/abs/2407.03257),1924.0,+642/-41,0.707,6.6,5.71,2.284,2552.28,4.522,✔️,0.0,False,GPU
-3,📊,Reference Pipeline,"[AutoGluon 1.4 (best, 4h)](https://arxiv.org/abs/2003.06505)",1883.0,+581/-12,0.661,7.6,3.42,3.209,474.94,11.837,✔️,0.0,False,CPU
-4,📊,Reference Pipeline,"[AutoGluon 1.4 (extreme, 4h)](https://arxiv.org/abs/2003.06505)",1853.0,+654/-28,0.618,8.4,6.13,3.513,400.37,2.16,✔️,0.0,False,GPU
-5,🧠🔁,Neural Network,[RealMLP (tuned + ensembled)](https://arxiv.org/abs/2407.04491),1846.0,+767/-85,0.648,8.6,6.91,2.851,2068.17,1.355,✔️,0.0,False,GPU
-6,🧠⚡,Foundation Model,[TabDPT (tuned + ensembled)](https://arxiv.org/abs/2410.18164),1797.0,+975/-163,0.69,10.0,2.25,2.083,4529.88,357.209,✔️,0.0,False,GPU
-7,🧠⚡,Foundation Model,[TabDPT (tuned)](https://arxiv.org/abs/2410.18164),1765.0,+911/-166,0.654,11.0,4.14,2.39,4529.88,39.544,✔️,0.0,False,GPU
-8,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (default)](https://arxiv.org/abs/2511.08667),1759.0,+894/-242,0.556,11.2,6.42,2.625,1.59,0.506,✔️,0.0,False,GPU
-9,🧠🔁,Neural Network,[RealMLP (tuned)](https://arxiv.org/abs/2407.04491),1666.0,+707/-190,0.489,14.4,10.08,4.112,2068.17,0.068,✔️,0.0,False,GPU
-10,🌳,Tree-based,[LightGBM (tuned + ensembled)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1649.0,+507/-132,0.386,15.0,11.94,5.836,223.05,9.707,✔️,0.0,False,CPU
-11,🧠🔁,Neural Network,[ModernNCA (tuned)](https://arxiv.org/abs/2407.03257),1649.0,+700/-222,0.474,15.0,11.66,4.058,2552.28,0.201,✔️,0.0,False,GPU
-12,🧠⚡,Foundation Model,[TabDPT (default)](https://arxiv.org/abs/2410.18164),1644.0,+794/-200,0.533,15.2,6.22,3.203,41.5,38.298,✔️,0.0,False,GPU
-13,🌳,Tree-based,[LightGBM (tuned)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1633.0,+559/-100,0.358,15.6,12.08,6.007,223.05,0.793,✔️,0.0,False,CPU
-14,❓,Other,[xRFM (tuned + ensembled)](https://arxiv.org/abs/2508.10053),1622.0,+581/-74,0.433,16.0,13.61,4.481,438.55,0.52,✔️,0.0,False,GPU
-15,🌳,Tree-based,[CatBoost (tuned + ensembled)](https://arxiv.org/abs/1706.09516),1617.0,+561/-93,0.312,16.2,10.68,6.235,1696.82,0.538,✔️,0.0,False,CPU
-16,🧠🔁,Neural Network,[TabM (tuned + ensembled)](https://arxiv.org/abs/2410.24210),1590.0,+730/-206,0.343,17.2,12.6,5.187,3456.17,0.611,✔️,0.0,False,GPU
-17,🌳,Tree-based,[CatBoost (tuned)](https://arxiv.org/abs/1706.09516),1564.0,+548/-151,0.29,18.2,7.27,6.475,1696.82,0.055,✔️,0.0,False,CPU
-18,❓,Other,[xRFM (tuned)](https://arxiv.org/abs/2508.10053),1533.0,+484/-92,0.272,19.4,17.89,5.477,438.55,0.035,✔️,0.0,False,GPU
-19,🧠🔁,Neural Network,[ModernNCA (default)](https://arxiv.org/abs/2407.03257),1528.0,+545/-151,0.295,19.6,17.32,5.3,6.87,0.098,✔️,0.0,False,GPU
-20,🧠🔁,Neural Network,[LimiX (default)](https://arxiv.org/abs/2509.03505),1518.0,+706/-196,0.316,20.0,4.21,4.7,2.07,0.754,➖,0.0,False,GPU
-21,🌳,Tree-based,[CatBoost (default)](https://arxiv.org/abs/1706.09516),1492.0,+542/-270,0.28,21.0,16.83,7.061,4.99,0.047,✔️,0.0,False,CPU
-22,🧠🔁,Neural Network,[TabM (tuned)](https://arxiv.org/abs/2410.24210),1482.0,+582/-167,0.196,21.4,19.92,6.188,3456.17,0.037,✔️,0.0,False,GPU
-23,🌳,Tree-based,[XGBoost (tuned + ensembled)](https://arxiv.org/abs/1603.02754),1471.0,+322/-53,0.203,21.8,21.03,6.853,289.35,1.798,✔️,0.0,False,CPU
-24,🌳,Tree-based,[XGBoost (tuned)](https://arxiv.org/abs/1603.02754),1461.0,+336/-66,0.196,22.2,21.22,6.921,289.35,0.36,✔️,0.0,False,CPU
-25,🧠🔁,Neural Network,[TabM (default)](https://arxiv.org/abs/2410.24210),1415.0,+648/-201,0.137,24.0,21.66,7.402,5.37,0.025,✔️,0.0,False,GPU
-26,🌳,Tree-based,[XGBoost (default)](https://arxiv.org/abs/1603.02754),1331.0,+404/-207,0.14,27.2,24.88,8.025,0.57,0.074,✔️,0.0,False,CPU
-27,❓,Other,[xRFM (default)](https://arxiv.org/abs/2508.10053),1288.0,+318/-106,0.006,28.8,27.84,8.909,2.32,0.093,✔️,0.0,False,GPU
-28,🌳,Tree-based,[LightGBM (default)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1283.0,+418/-166,0.03,29.0,28.27,8.225,0.66,0.213,✔️,0.0,False,CPU
-29,🧠🔁,Neural Network,[TorchMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1261.0,+222/-185,0.067,29.8,27.82,8.161,4108.24,0.479,✔️,0.0,False,CPU
-30,🧠🔁,Neural Network,[RealMLP (default)](https://arxiv.org/abs/2407.04491),1234.0,+491/-233,0.028,30.8,28.77,9.603,6.54,0.284,✔️,0.0,False,GPU
-31,🧠🔁,Neural Network,[TorchMLP (tuned)](https://arxiv.org/abs/2003.06505),1212.0,+198/-242,0.032,31.6,29.67,9.253,4108.24,0.037,✔️,0.0,False,CPU
-32,🌳,Tree-based,[ExtraTrees (tuned + ensembled)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1166.0,+346/-383,0.034,33.2,31.32,10.288,35.47,0.502,✔️,0.0,False,CPU
-33,🌳,Tree-based,[ExtraTrees (tuned)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1137.0,+305/-327,0.017,34.2,32.95,10.454,35.47,0.054,✔️,0.0,False,CPU
-34,🧠⚡,Foundation Model,[SAP-RPT-OSS (default)](https://arxiv.org/abs/2506.10707),1137.0,+446/-460,0.121,34.2,25.03,10.329,8.68,7.525,➖,0.0,False,GPU
-35,🌳,Tree-based,[EBM (tuned + ensembled)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1131.0,+406/-883,0.147,34.4,26.06,13.625,1820.58,0.133,✔️,0.0,False,CPU
-36,🌳,Tree-based,[RandomForest (tuned + ensembled)](https://link.springer.com/article/10.1023/A:1010933404324),1131.0,+95/-238,0.0,34.4,34.11,10.053,79.96,0.571,✔️,0.0,False,CPU
-37,🌳,Tree-based,[RandomForest (tuned)](https://link.springer.com/article/10.1023/A:1010933404324),1122.0,+109/-229,0.0,34.7,34.23,10.217,79.96,0.053,✔️,0.0,False,CPU
-38,🧠🔁,Neural Network,[TorchMLP (default)](https://arxiv.org/abs/2003.06505),1050.0,+152/-316,0.0,37.0,35.77,13.469,14.05,0.029,✔️,0.0,False,CPU
-39,🌳,Tree-based,[ExtraTrees (default)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1024.0,+376/-520,0.017,37.8,35.52,12.12,0.18,0.054,✔️,0.0,False,CPU
-40,🌳,Tree-based,[EBM (tuned)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1010.0,+309/-975,0.104,38.2,35.39,14.242,1820.58,0.012,✔️,0.0,False,CPU
-41,🌳,Tree-based,[RandomForest (default)](https://link.springer.com/article/10.1023/A:1010933404324),1000.0,+63/-264,0.0,38.5,38.32,11.35,0.42,0.053,✔️,0.0,False,CPU
-42,🌳,Tree-based,[EBM (default)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),982.0,+354/-1020,0.124,39.0,35.12,14.681,3.47,0.01,✔️,0.0,False,CPU
-43,🧠🔁,Neural Network,[FastaiMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),864.0,+81/-736,0.0,42.0,41.71,14.269,317.48,0.719,✔️,0.0,False,CPU
-44,🧠🔁,Neural Network,[FastaiMLP (tuned)](https://arxiv.org/abs/2003.06505),836.0,+84/-773,0.0,42.6,42.32,14.827,317.48,0.127,✔️,0.0,False,CPU
-45,📏,Baseline,[KNN (tuned + ensembled)](https://scikit-learn.org/stable/modules/neighbors.html),807.0,+90/-732,0.0,43.2,42.98,18.666,142.18,1.027,✔️,0.0,False,CPU
-46,🧠🔁,Neural Network,[FastaiMLP (default)](https://arxiv.org/abs/2003.06505),664.0,+109/-823,0.0,45.6,45.3,18.199,1.33,0.126,✔️,0.0,False,CPU
-47,📏,Baseline,[KNN (tuned)](https://scikit-learn.org/stable/modules/neighbors.html),649.0,+52/-837,0.0,45.8,45.73,21.083,142.18,0.057,✔️,0.0,False,CPU
-48,📏,Baseline,[KNN (default)](https://scikit-learn.org/stable/modules/neighbors.html),344.0,+125/-1382,0.0,48.6,48.5,28.294,0.06,0.036,✔️,0.0,False,CPU
-49,📏,Baseline,[Linear (tuned + ensembled)](https://scikit-learn.org/stable/modules/linear_model.html),133.0,+78/-1763,0.0,49.8,49.8,39.482,48.35,0.054,✔️,0.0,False,CPU
-50,📏,Baseline,[Linear (tuned)](https://scikit-learn.org/stable/modules/linear_model.html),-121.0,+166/-2493,0.0,51.0,50.99,39.829,48.35,0.013,✔️,0.0,False,CPU
-51,📏,Baseline,[Linear (default)](https://scikit-learn.org/stable/modules/linear_model.html),-274.0,+170/-3339,0.0,51.6,51.6,42.789,0.13,0.02,✔️,0.0,False,CPU
diff --git a/data/imputation_yes/splits_lite/tasks_regression/datasets_medium/winrate_matrix.png.zip b/data/imputation_yes/splits_lite/tasks_regression/datasets_medium/winrate_matrix.png.zip
deleted file mode 100644
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diff --git a/data/imputation_yes/splits_lite/tasks_regression/datasets_small/website_leaderboard.csv b/data/imputation_yes/splits_lite/tasks_regression/datasets_small/website_leaderboard.csv
deleted file mode 100644
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-#,Type,TypeName,Model,Elo [⬆️],Elo 95% CI,Score [⬆️],Rank [⬇️],Harmonic Rank [⬇️],Improvability (%) [⬇️],Median Train Time (s/1K) [⬇️],Median Predict Time (s/1K) [⬇️],Verified,Imputed (%) [⬇️],Imputed,Hardware
-0,🧠⚡,Foundation Model,[TabDPT (tuned + ensembled)](https://arxiv.org/abs/2410.18164),1885.0,+252/-97,0.741,6.0,2.49,2.855,9830.47,232.266,✔️,0.0,False,GPU
-1,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned + ensembled)](https://arxiv.org/abs/2511.08667),1874.0,+459/-210,0.766,6.25,2.14,1.301,2355.62,7.55,✔️,0.0,False,GPU
-2,📊,Reference Pipeline,"[AutoGluon 1.4 (extreme, 4h)](https://arxiv.org/abs/2003.06505)",1841.0,+272/-72,0.652,7.12,3.73,2.109,716.17,4.181,✔️,0.0,False,GPU
-3,🧠⚡,Foundation Model,[TabDPT (tuned)](https://arxiv.org/abs/2410.18164),1841.0,+167/-35,0.674,7.12,5.04,3.48,9830.47,22.221,✔️,0.0,False,GPU
-4,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned)](https://arxiv.org/abs/2511.08667),1708.0,+330/-190,0.561,11.5,4.07,2.764,2355.62,0.879,✔️,0.0,False,GPU
-5,🧠⚡,Foundation Model,[TabDPT (default)](https://arxiv.org/abs/2410.18164),1704.0,+155/-54,0.535,11.62,6.8,4.888,51.27,43.085,✔️,0.0,False,GPU
-6,🧠🔁,Neural Network,[RealMLP (tuned + ensembled)](https://arxiv.org/abs/2407.04491),1683.0,+130/-49,0.512,12.5,10.9,5.134,4918.07,35.607,✔️,0.0,False,GPU
-7,📊,Reference Pipeline,"[AutoGluon 1.4 (best, 4h)](https://arxiv.org/abs/2003.06505)",1668.0,+138/-63,0.441,13.12,10.79,5.768,4919.72,5.372,✔️,0.0,False,CPU
-8,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (default)](https://arxiv.org/abs/2511.08667),1647.0,+307/-190,0.512,14.0,8.1,4.306,8.24,0.532,✔️,0.0,False,GPU
-9,🧠⚡,Foundation Model,[TabPFNv2 (tuned + ensembled) [12.50% IMPUTED]](https://www.nature.com/articles/s41586-024-08328-6),1643.0,+541/-234,0.519,14.19,3.75,3.301,6437.34,56.116,✔️,12.5,True,GPU
-10,🧠🔁,Neural Network,[RealMLP (tuned)](https://arxiv.org/abs/2407.04491),1573.0,+171/-110,0.379,17.38,12.72,6.226,4918.07,0.949,✔️,0.0,False,GPU
-11,🌳,Tree-based,[LightGBM (tuned + ensembled)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1568.0,+112/-80,0.271,17.62,15.23,8.35,1206.7,4.573,✔️,0.0,False,CPU
-12,🌳,Tree-based,[CatBoost (tuned + ensembled)](https://arxiv.org/abs/1706.09516),1547.0,+123/-61,0.248,18.62,16.36,7.752,3495.99,1.462,✔️,0.0,False,CPU
-13,🧠🔁,Neural Network,[Mitra (default) [12.50% IMPUTED]](https://arxiv.org/abs/2510.21204),1546.0,+241/-163,0.342,18.69,8.77,6.847,94.13,2.176,✔️,12.5,True,GPU
-14,🧠🔁,Neural Network,[ModernNCA (tuned + ensembled)](https://arxiv.org/abs/2407.03257),1534.0,+213/-134,0.361,19.25,5.5,9.546,9006.35,8.016,✔️,0.0,False,GPU
-15,🌳,Tree-based,[CatBoost (tuned)](https://arxiv.org/abs/1706.09516),1512.0,+186/-90,0.234,20.38,15.55,7.803,3495.99,0.148,✔️,0.0,False,CPU
-16,🧠🔁,Neural Network,[TabM (tuned + ensembled)](https://arxiv.org/abs/2410.24210),1512.0,+156/-108,0.278,20.38,17.48,6.233,4322.16,1.598,✔️,0.0,False,GPU
-17,🧠🔁,Neural Network,[LimiX (default)](https://arxiv.org/abs/2509.03505),1512.0,+404/-254,0.453,20.38,5.9,18.26,5.86,0.71,➖,0.0,False,GPU
-18,❓,Other,[xRFM (tuned + ensembled)](https://arxiv.org/abs/2508.10053),1512.0,+144/-90,0.289,20.38,14.92,7.857,1672.82,2.447,✔️,0.0,False,GPU
-19,❓,Other,[xRFM (tuned)](https://arxiv.org/abs/2508.10053),1475.0,+152/-72,0.229,22.38,17.24,8.152,1672.82,0.097,✔️,0.0,False,GPU
-20,🧠⚡,Foundation Model,[TabPFNv2 (tuned) [12.50% IMPUTED]](https://www.nature.com/articles/s41586-024-08328-6),1474.0,+379/-234,0.351,22.44,11.92,5.751,6437.34,0.557,✔️,12.5,True,GPU
-21,🌳,Tree-based,[XGBoost (tuned)](https://arxiv.org/abs/1603.02754),1468.0,+88/-55,0.134,22.75,20.76,8.84,1277.27,0.648,✔️,0.0,False,CPU
-22,🌳,Tree-based,[XGBoost (tuned + ensembled)](https://arxiv.org/abs/1603.02754),1459.0,+89/-51,0.131,23.25,21.79,8.909,1277.27,3.746,✔️,0.0,False,CPU
-23,🌳,Tree-based,[LightGBM (tuned)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1445.0,+126/-103,0.149,24.0,20.45,9.538,1206.7,0.689,✔️,0.0,False,CPU
-24,🧠⚡,Foundation Model,[SAP-RPT-OSS (default)](https://arxiv.org/abs/2506.10707),1421.0,+196/-173,0.212,25.25,14.46,9.22,25.28,0.843,➖,0.0,False,GPU
-25,🧠🔁,Neural Network,[ModernNCA (default)](https://arxiv.org/abs/2407.03257),1417.0,+140/-135,0.154,25.5,21.89,11.969,25.13,0.294,✔️,0.0,False,GPU
-26,🧠🔁,Neural Network,[TabM (tuned)](https://arxiv.org/abs/2410.24210),1417.0,+163/-120,0.182,25.5,21.82,6.961,4322.16,0.198,✔️,0.0,False,GPU
-27,🧠⚡,Foundation Model,[TabPFNv2 (default) [12.50% IMPUTED]](https://www.nature.com/articles/s41586-024-08328-6),1401.0,+327/-277,0.305,26.31,14.55,7.63,8.68,0.726,✔️,12.5,True,GPU
-28,🌳,Tree-based,[CatBoost (default)](https://arxiv.org/abs/1706.09516),1386.0,+147/-125,0.107,27.12,22.28,10.625,10.03,0.115,✔️,0.0,False,CPU
-29,🌳,Tree-based,[ExtraTrees (tuned + ensembled)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1359.0,+148/-189,0.136,28.5,22.81,13.632,644.11,0.953,✔️,0.0,False,CPU
-30,🌳,Tree-based,[ExtraTrees (tuned)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1340.0,+166/-203,0.167,29.5,22.11,14.036,644.11,0.187,✔️,0.0,False,CPU
-31,🧠🔁,Neural Network,[RealMLP (default)](https://arxiv.org/abs/2407.04491),1338.0,+150/-100,0.111,29.62,25.53,10.515,22.41,7.82,✔️,0.0,False,GPU
-32,🧠🔁,Neural Network,[ModernNCA (tuned)](https://arxiv.org/abs/2407.03257),1328.0,+192/-190,0.122,30.12,16.91,12.542,9006.35,0.527,✔️,0.0,False,GPU
-33,🧠🔁,Neural Network,[TabM (default)](https://arxiv.org/abs/2410.24210),1326.0,+164/-140,0.127,30.25,27.05,8.903,25.53,0.154,✔️,0.0,False,GPU
-34,🧠🔁,Neural Network,[TorchMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1310.0,+130/-156,0.071,31.12,27.69,10.331,5194.73,1.75,✔️,0.0,False,CPU
-35,🧠🔁,Neural Network,[TorchMLP (tuned)](https://arxiv.org/abs/2003.06505),1257.0,+188/-194,0.065,33.88,29.6,10.652,5194.73,0.121,✔️,0.0,False,CPU
-36,🌳,Tree-based,[EBM (tuned + ensembled)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1242.0,+214/-201,0.097,34.62,22.5,13.421,3991.28,0.402,✔️,0.0,False,CPU
-37,❓,Other,[xRFM (default)](https://arxiv.org/abs/2508.10053),1221.0,+212/-279,0.119,35.62,11.55,15.544,7.0,1.362,✔️,0.0,False,GPU
-38,🌳,Tree-based,[EBM (tuned)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1221.0,+230/-228,0.121,35.62,15.59,13.945,3991.28,0.034,✔️,0.0,False,CPU
-39,🌳,Tree-based,[RandomForest (tuned + ensembled)](https://link.springer.com/article/10.1023/A:1010933404324),1210.0,+96/-175,0.021,36.12,33.67,15.363,657.99,1.135,✔️,0.0,False,CPU
-40,🌳,Tree-based,[LightGBM (default)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1194.0,+92/-128,0.015,36.88,35.69,12.723,4.54,0.374,✔️,0.0,False,CPU
-41,🧠🔁,Neural Network,[FastaiMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1174.0,+76/-129,0.007,37.75,36.62,14.418,2150.84,7.995,✔️,0.0,False,CPU
-42,🌳,Tree-based,[ExtraTrees (default)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1157.0,+92/-172,0.014,38.5,36.7,15.588,0.46,0.117,✔️,0.0,False,CPU
-43,🌳,Tree-based,[RandomForest (tuned)](https://link.springer.com/article/10.1023/A:1010933404324),1146.0,+114/-200,0.02,39.0,36.5,16.48,657.99,0.147,✔️,0.0,False,CPU
-44,🧠🔁,Neural Network,[FastaiMLP (tuned)](https://arxiv.org/abs/2003.06505),1122.0,+109/-166,0.0,40.0,38.67,14.856,2150.84,0.566,✔️,0.0,False,CPU
-45,🌳,Tree-based,[XGBoost (default)](https://arxiv.org/abs/1603.02754),1112.0,+84/-128,0.0,40.38,39.65,14.012,4.08,0.255,✔️,0.0,False,CPU
-46,🌳,Tree-based,[EBM (default)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1058.0,+113/-175,0.0,42.5,41.24,15.454,12.71,0.039,✔️,0.0,False,CPU
-47,🧠🔁,Neural Network,[TorchMLP (default)](https://arxiv.org/abs/2003.06505),1030.0,+146/-221,0.0,43.5,41.94,14.656,22.25,0.131,✔️,0.0,False,CPU
-48,🌳,Tree-based,[RandomForest (default)](https://link.springer.com/article/10.1023/A:1010933404324),1000.0,+96/-211,0.0,44.5,43.85,17.907,0.69,0.125,✔️,0.0,False,CPU
-49,🧠🔁,Neural Network,[FastaiMLP (default)](https://arxiv.org/abs/2003.06505),988.0,+105/-219,0.0,44.88,43.95,19.332,6.77,0.511,✔️,0.0,False,CPU
-50,📏,Baseline,[KNN (tuned + ensembled)](https://scikit-learn.org/stable/modules/neighbors.html),904.0,+144/-330,0.0,47.25,45.99,21.426,88.79,0.572,✔️,0.0,False,CPU
-51,📏,Baseline,[KNN (tuned)](https://scikit-learn.org/stable/modules/neighbors.html),732.0,+150/-322,0.0,50.75,50.48,23.404,88.79,0.052,✔️,0.0,False,CPU
-52,📏,Baseline,[KNN (default)](https://scikit-learn.org/stable/modules/neighbors.html),655.0,+221/-605,0.0,51.88,51.13,29.74,0.43,0.047,✔️,0.0,False,CPU
-53,📏,Baseline,[Linear (tuned + ensembled)](https://scikit-learn.org/stable/modules/linear_model.html),520.0,+99/-467,0.0,53.44,53.35,34.23,742.99,0.364,✔️,0.0,False,CPU
-54,📏,Baseline,[Linear (tuned)](https://scikit-learn.org/stable/modules/linear_model.html),481.0,+132/-551,0.0,53.81,53.72,34.314,742.99,0.097,✔️,0.0,False,CPU
-55,📏,Baseline,[Linear (default)](https://scikit-learn.org/stable/modules/linear_model.html),332.0,+100/-508,0.0,55.0,54.99,36.454,3.98,0.12,✔️,0.0,False,CPU
diff --git a/data/imputation_yes/splits_lite/tasks_regression/datasets_small/winrate_matrix.png.zip b/data/imputation_yes/splits_lite/tasks_regression/datasets_small/winrate_matrix.png.zip
deleted file mode 100644
index 6d0f39f3db292181544df24d4e20809e00e52983..0000000000000000000000000000000000000000
--- a/data/imputation_yes/splits_lite/tasks_regression/datasets_small/winrate_matrix.png.zip
+++ /dev/null
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deleted file mode 100644
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diff --git a/data/imputation_yes/splits_lite/tasks_regression/datasets_tabpfn/pareto_front_improvability_vs_time_infer.png.zip b/data/imputation_yes/splits_lite/tasks_regression/datasets_tabpfn/pareto_front_improvability_vs_time_infer.png.zip
deleted file mode 100644
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deleted file mode 100644
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diff --git a/data/imputation_yes/splits_lite/tasks_regression/datasets_tabpfn/website_leaderboard.csv b/data/imputation_yes/splits_lite/tasks_regression/datasets_tabpfn/website_leaderboard.csv
deleted file mode 100644
index d28758bde1bc29286ff5ff9b8dda819634c69945..0000000000000000000000000000000000000000
--- a/data/imputation_yes/splits_lite/tasks_regression/datasets_tabpfn/website_leaderboard.csv
+++ /dev/null
@@ -1,57 +0,0 @@
-#,Type,TypeName,Model,Elo [⬆️],Elo 95% CI,Score [⬆️],Rank [⬇️],Harmonic Rank [⬇️],Improvability (%) [⬇️],Median Train Time (s/1K) [⬇️],Median Predict Time (s/1K) [⬇️],Verified,Imputed (%) [⬇️],Imputed,Hardware
-0,🧠⚡,Foundation Model,[TabDPT (tuned + ensembled)](https://arxiv.org/abs/2410.18164),1905.0,+308/-104,0.729,6.57,2.58,3.095,10054.02,249.652,✔️,0.0,False,GPU
-1,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned + ensembled)](https://arxiv.org/abs/2511.08667),1899.0,+520/-230,0.771,6.71,2.05,1.229,2279.61,6.732,✔️,0.0,False,GPU
-2,📊,Reference Pipeline,"[AutoGluon 1.4 (extreme, 4h)](https://arxiv.org/abs/2003.06505)",1883.0,+380/-88,0.679,7.14,3.5,1.908,669.82,4.041,✔️,0.0,False,GPU
-3,🧠⚡,Foundation Model,[TabDPT (tuned)](https://arxiv.org/abs/2410.18164),1873.0,+173/-48,0.67,7.43,5.05,3.69,10054.02,28.583,✔️,0.0,False,GPU
-4,🧠⚡,Foundation Model,[TabPFNv2 (tuned + ensembled)](https://www.nature.com/articles/s41586-024-08328-6),1782.0,+493/-185,0.593,10.29,3.32,2.584,6601.21,73.561,✔️,0.0,False,GPU
-5,🧠⚡,Foundation Model,[TabDPT (default)](https://arxiv.org/abs/2410.18164),1770.0,+209/-45,0.567,10.71,6.24,4.944,47.81,37.998,✔️,0.0,False,GPU
-6,🧠🔁,Neural Network,[RealMLP (tuned + ensembled)](https://arxiv.org/abs/2407.04491),1755.0,+135/-30,0.551,11.29,10.2,5.167,4840.44,33.436,✔️,0.0,False,GPU
-7,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (tuned)](https://arxiv.org/abs/2511.08667),1729.0,+411/-216,0.545,12.29,3.89,2.847,2279.61,0.781,✔️,0.0,False,GPU
-8,🧠⚡,Foundation Model,[RealTabPFN-v2.5 (default)](https://arxiv.org/abs/2511.08667),1715.0,+376/-211,0.555,12.86,7.43,4.191,7.82,0.519,✔️,0.0,False,GPU
-9,📊,Reference Pipeline,"[AutoGluon 1.4 (best, 4h)](https://arxiv.org/abs/2003.06505)",1694.0,+186/-51,0.443,13.71,11.1,6.056,5390.56,5.054,✔️,0.0,False,CPU
-10,🧠🔁,Neural Network,[Mitra (default)](https://arxiv.org/abs/2510.21204),1653.0,+222/-120,0.391,15.43,7.88,6.637,105.28,2.433,✔️,0.0,False,GPU
-11,🧠🔁,Neural Network,[LimiX (default)](https://arxiv.org/abs/2509.03505),1627.0,+414/-295,0.518,16.57,5.24,19.429,5.73,0.638,➖,0.0,False,GPU
-12,🌳,Tree-based,[CatBoost (tuned + ensembled)](https://arxiv.org/abs/1706.09516),1608.0,+152/-48,0.282,17.43,15.49,7.956,3301.07,1.317,✔️,0.0,False,CPU
-13,🧠🔁,Neural Network,[RealMLP (tuned)](https://arxiv.org/abs/2407.04491),1605.0,+238/-130,0.388,17.57,12.35,6.481,4840.44,0.706,✔️,0.0,False,GPU
-14,🌳,Tree-based,[LightGBM (tuned + ensembled)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1575.0,+117/-58,0.243,19.0,17.49,9.035,997.12,3.787,✔️,0.0,False,CPU
-15,🌳,Tree-based,[CatBoost (tuned)](https://arxiv.org/abs/1706.09516),1569.0,+232/-107,0.267,19.29,14.63,8.008,3301.07,0.125,✔️,0.0,False,CPU
-16,🧠⚡,Foundation Model,[TabPFNv2 (tuned)](https://www.nature.com/articles/s41586-024-08328-6),1560.0,+421/-226,0.401,19.71,10.82,5.384,6601.21,0.588,✔️,0.0,False,GPU
-17,❓,Other,[xRFM (tuned + ensembled)](https://arxiv.org/abs/2508.10053),1546.0,+164/-104,0.292,20.43,14.4,8.299,1709.03,2.724,✔️,0.0,False,GPU
-18,🧠🔁,Neural Network,[TabM (tuned + ensembled)](https://arxiv.org/abs/2410.24210),1532.0,+189/-120,0.268,21.14,17.91,6.513,4228.53,1.447,✔️,0.0,False,GPU
-19,🧠⚡,Foundation Model,[SAP-RPT-OSS (default)](https://arxiv.org/abs/2506.10707),1521.0,+202/-160,0.242,21.71,13.12,8.659,22.8,0.769,➖,0.0,False,GPU
-20,🧠🔁,Neural Network,[ModernNCA (tuned + ensembled)](https://arxiv.org/abs/2407.03257),1518.0,+181/-140,0.27,21.86,15.39,10.909,9360.97,7.658,✔️,0.0,False,GPU
-21,❓,Other,[xRFM (tuned)](https://arxiv.org/abs/2508.10053),1516.0,+143/-78,0.248,22.0,16.51,8.482,1709.03,0.097,✔️,0.0,False,GPU
-22,🧠⚡,Foundation Model,[TabPFNv2 (default)](https://www.nature.com/articles/s41586-024-08328-6),1474.0,+406/-336,0.348,24.14,13.31,7.531,8.97,0.837,✔️,0.0,False,GPU
-23,🌳,Tree-based,[XGBoost (tuned)](https://arxiv.org/abs/1603.02754),1468.0,+79/-43,0.096,24.43,23.78,9.543,911.22,0.527,✔️,0.0,False,CPU
-24,🌳,Tree-based,[XGBoost (tuned + ensembled)](https://arxiv.org/abs/1603.02754),1462.0,+77/-40,0.098,24.71,24.12,9.588,911.22,3.532,✔️,0.0,False,CPU
-25,🌳,Tree-based,[LightGBM (tuned)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1437.0,+130/-69,0.11,26.0,24.03,10.356,997.12,0.636,✔️,0.0,False,CPU
-26,🧠🔁,Neural Network,[TabM (tuned)](https://arxiv.org/abs/2410.24210),1428.0,+197/-140,0.164,26.43,22.29,7.312,4228.53,0.173,✔️,0.0,False,GPU
-27,🌳,Tree-based,[CatBoost (default)](https://arxiv.org/abs/1706.09516),1422.0,+221/-142,0.122,26.71,21.49,11.174,9.39,0.105,✔️,0.0,False,CPU
-28,🧠🔁,Neural Network,[ModernNCA (default)](https://arxiv.org/abs/2407.03257),1408.0,+144/-154,0.12,27.43,24.82,13.106,27.26,0.29,✔️,0.0,False,GPU
-29,🌳,Tree-based,[ExtraTrees (tuned + ensembled)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1396.0,+209/-230,0.156,28.0,21.91,14.555,613.95,0.952,✔️,0.0,False,CPU
-30,🌳,Tree-based,[ExtraTrees (tuned)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1388.0,+235/-247,0.191,28.43,20.91,14.881,613.95,0.135,✔️,0.0,False,CPU
-31,🧠🔁,Neural Network,[RealMLP (default)](https://arxiv.org/abs/2407.04491),1368.0,+154/-136,0.127,29.43,24.9,11.015,22.96,8.006,✔️,0.0,False,GPU
-32,🧠🔁,Neural Network,[TabM (default)](https://arxiv.org/abs/2410.24210),1331.0,+195/-190,0.121,31.29,27.74,9.406,17.97,0.145,✔️,0.0,False,GPU
-33,🌳,Tree-based,[EBM (tuned + ensembled)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1294.0,+275/-209,0.111,33.14,21.0,14.054,3778.28,0.323,✔️,0.0,False,CPU
-34,🧠🔁,Neural Network,[TorchMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1285.0,+128/-166,0.03,33.57,32.19,11.205,5937.36,1.406,✔️,0.0,False,CPU
-35,❓,Other,[xRFM (default)](https://arxiv.org/abs/2508.10053),1280.0,+261/-291,0.136,33.86,10.42,16.185,7.12,1.138,✔️,0.0,False,GPU
-36,🧠🔁,Neural Network,[ModernNCA (tuned)](https://arxiv.org/abs/2407.03257),1280.0,+151/-173,0.039,33.86,31.37,14.048,9360.97,0.522,✔️,0.0,False,GPU
-37,🌳,Tree-based,[EBM (tuned)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1274.0,+268/-232,0.138,34.14,14.24,14.636,3778.28,0.028,✔️,0.0,False,CPU
-38,🌳,Tree-based,[RandomForest (tuned + ensembled)](https://link.springer.com/article/10.1023/A:1010933404324),1227.0,+153/-256,0.024,36.29,33.49,16.471,628.51,0.812,✔️,0.0,False,CPU
-39,🧠🔁,Neural Network,[TorchMLP (tuned)](https://arxiv.org/abs/2003.06505),1227.0,+179/-286,0.03,36.29,33.1,11.535,5937.36,0.119,✔️,0.0,False,CPU
-40,🌳,Tree-based,[ExtraTrees (default)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1174.0,+135/-216,0.016,38.57,36.52,16.642,0.43,0.117,✔️,0.0,False,CPU
-41,🌳,Tree-based,[RandomForest (tuned)](https://link.springer.com/article/10.1023/A:1010933404324),1172.0,+173/-290,0.023,38.64,35.88,17.646,628.51,0.149,✔️,0.0,False,CPU
-42,🌳,Tree-based,[LightGBM (default)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1170.0,+58/-102,0.0,38.71,38.37,13.734,4.41,0.363,✔️,0.0,False,CPU
-43,🧠🔁,Neural Network,[FastaiMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1153.0,+60/-112,0.0,39.43,38.89,15.611,2163.39,7.622,✔️,0.0,False,CPU
-44,🌳,Tree-based,[XGBoost (default)](https://arxiv.org/abs/1603.02754),1113.0,+107/-172,0.0,41.0,40.23,14.895,3.97,0.24,✔️,0.0,False,CPU
-45,🧠🔁,Neural Network,[FastaiMLP (tuned)](https://arxiv.org/abs/2003.06505),1098.0,+112/-178,0.0,41.57,40.6,16.062,2163.39,0.713,✔️,0.0,False,CPU
-46,🌳,Tree-based,[EBM (default)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1098.0,+94/-161,0.0,41.57,40.32,15.956,10.54,0.036,✔️,0.0,False,CPU
-47,🧠🔁,Neural Network,[TorchMLP (default)](https://arxiv.org/abs/2003.06505),1002.0,+133/-301,0.0,44.86,43.39,15.699,20.5,0.13,✔️,0.0,False,CPU
-48,🌳,Tree-based,[RandomForest (default)](https://link.springer.com/article/10.1023/A:1010933404324),1000.0,+129/-212,0.0,44.93,44.2,19.276,0.67,0.118,✔️,0.0,False,CPU
-49,🧠🔁,Neural Network,[FastaiMLP (default)](https://arxiv.org/abs/2003.06505),943.0,+77/-214,0.0,46.57,46.13,21.065,6.88,0.452,✔️,0.0,False,CPU
-50,📏,Baseline,[KNN (tuned + ensembled)](https://scikit-learn.org/stable/modules/neighbors.html),937.0,+178/-378,0.0,46.71,45.35,22.177,86.71,0.53,✔️,0.0,False,CPU
-51,📏,Baseline,[KNN (tuned)](https://scikit-learn.org/stable/modules/neighbors.html),757.0,+167/-356,0.0,50.57,50.27,24.152,86.71,0.05,✔️,0.0,False,CPU
-52,📏,Baseline,[KNN (default)](https://scikit-learn.org/stable/modules/neighbors.html),712.0,+244/-528,0.0,51.29,50.5,30.287,0.4,0.044,✔️,0.0,False,CPU
-53,📏,Baseline,[Linear (tuned + ensembled)](https://scikit-learn.org/stable/modules/linear_model.html),533.0,+85/-888,0.0,53.5,53.4,36.2,753.48,0.227,✔️,0.0,False,CPU
-54,📏,Baseline,[Linear (tuned)](https://scikit-learn.org/stable/modules/linear_model.html),504.0,+117/-993,0.0,53.79,53.68,36.249,753.48,0.091,✔️,0.0,False,CPU
-55,📏,Baseline,[Linear (default)](https://scikit-learn.org/stable/modules/linear_model.html),352.0,+97/-818,0.0,55.0,54.99,37.99,4.35,0.119,✔️,0.0,False,CPU
diff --git a/data/imputation_yes/splits_lite/tasks_regression/datasets_tabpfn/winrate_matrix.png.zip b/data/imputation_yes/splits_lite/tasks_regression/datasets_tabpfn/winrate_matrix.png.zip
deleted file mode 100644
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--- a/data/imputation_yes/splits_lite/tasks_regression/datasets_tabpfn/winrate_matrix.png.zip
+++ /dev/null
@@ -1,3 +0,0 @@
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diff --git a/data/lite/full-imputed/figures/critical-diagram.png.zip b/data/lite/full-imputed/figures/critical-diagram.png.zip
new file mode 100644
index 0000000000000000000000000000000000000000..85eb1d04fc596f2921afe7cd4460ec704ce61d6a
--- /dev/null
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@@ -0,0 +1,3 @@
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diff --git a/data/lite/full-imputed/leaderboard.tex b/data/lite/full-imputed/leaderboard.tex
new file mode 100644
index 0000000000000000000000000000000000000000..24eebbfead7e1880b4eb048c3c404e198cee7164
--- /dev/null
+++ b/data/lite/full-imputed/leaderboard.tex
@@ -0,0 +1,53 @@
+\begin{tabular}{llcccccrr}
+\toprule
+\textbf{Model} & \textbf{Elo ($\uparrow$)} & \textbf{Norm.} & \textbf{Avg.} & \textbf{Harm.} & \textbf{\#wins ($\uparrow$)} & \textbf{Improva-} & \textbf{Train time} & \textbf{Predict time} \\
+ &  & \textbf{score ($\uparrow$)} & \textbf{rank ($\downarrow$)} & \textbf{mean} &  & \textbf{bility ($\downarrow$)} & \textbf{per 1K [s]} & \textbf{per 1K [s]} \\
+ &  &  &  & \textbf{rank ($\downarrow$)} &  &  &  &  \\
+\midrule
+AutoGluon 1.3 (4h) & \textcolor{gold}{\textbf{1542${}_{-33,+32}$}} & \textcolor{gold}{\textbf{0.618}} & \textcolor{gold}{\textbf{7.6}} & \textcolor{gold}{\textbf{3.2}} & \textcolor{silver}{\textbf{7}} & \textcolor{gold}{\textbf{6.4\%}} & 1453.27 & 3.15 \\
+RealMLP (T+E) & \textcolor{silver}{\textbf{1469${}_{-20,+29}$}} & \textcolor{silver}{\textbf{0.537}} & \textcolor{silver}{\textbf{10.0}} & 4.9 & 3 & \textcolor{silver}{\textbf{8.3\%}} & 6559.12 & 8.60 \\
+LightGBM (T+E) & \textcolor{bronze}{\textbf{1425${}_{-25,+27}$}} & 0.452 & \textcolor{bronze}{\textbf{11.9}} & 8.3 & 0 & 10.2\% & 416.56 & 2.24 \\
+TabM (T+E) & 1417${}_{-26,+32}$ & \textcolor{bronze}{\textbf{0.502}} & 12.2 & 6.2 & 2 & \textcolor{bronze}{\textbf{8.9\%}} & 3133.91 & 1.27 \\
+CatBoost (T+E) & 1398${}_{-23,+29}$ & 0.433 & 13.1 & 8.5 & 0 & 9.5\% & 1665.53 & 0.56 \\
+ModernNCA (T+E) & 1382${}_{-21,+26}$ & 0.444 & 13.7 & \textcolor{bronze}{\textbf{4.5}} & \textcolor{bronze}{\textbf{5}} & 9.8\% & 4618.50 & 7.74 \\
+CatBoost (T) & 1376${}_{-26,+22}$ & 0.416 & 14.1 & 8.6 & 0 & 10.0\% & 1665.53 & 0.07 \\
+XGBoost (T+E) & 1373${}_{-23,+22}$ & 0.361 & 14.2 & 8.1 & 1 & 10.8\% & 700.96 & 1.44 \\
+LightGBM (T) & 1355${}_{-21,+29}$ & 0.363 & 14.9 & 10.4 & 0 & 11.1\% & 416.56 & 0.38 \\
+CatBoost (D) & 1354${}_{-26,+24}$ & 0.372 & 15.2 & 9.3 & 1 & 10.8\% & 6.70 & 0.09 \\
+TabM (T) & 1354${}_{-27,+27}$ & 0.413 & 15.1 & 8.3 & 0 & 9.8\% & 3133.91 & 0.13 \\
+XGBoost (T) & 1348${}_{-24,+25}$ & 0.313 & 15.4 & 8.9 & 1 & 11.0\% & 700.96 & 0.21 \\
+ModernNCA (T) & 1344${}_{-21,+25}$ & 0.307 & 15.5 & 6.8 & 2 & 10.5\% & 4618.50 & 0.47 \\
+TabPFNv2 (T+E) & 1324${}_{-26,+26}$ & 0.476 & 16.6 & \textcolor{silver}{\textbf{3.4}} & \textcolor{gold}{\textbf{11}} & 10.4\% & 2942.08 & 17.37 \\
+TabM (D) & 1284${}_{-19,+23}$ & 0.285 & 18.5 & 11.6 & 0 & 12.7\% & 11.56 & 0.13 \\
+RealMLP (T) & 1282${}_{-26,+24}$ & 0.229 & 18.7 & 12.9 & 0 & 12.3\% & 6559.12 & 0.35 \\
+TabICL (D) & 1279${}_{-22,+27}$ & 0.381 & 18.8 & 6.2 & 4 & 11.5\% & 6.86 & 1.52 \\
+TabPFNv2 (T) & 1269${}_{-18,+26}$ & 0.360 & 19.3 & 6.4 & 1 & 12.1\% & 2942.08 & 0.26 \\
+TorchMLP (T+E) & 1258${}_{-22,+25}$ & 0.220 & 19.8 & 14.0 & 0 & 12.4\% & 2832.80 & 1.80 \\
+EBM (T+E) & 1230${}_{-23,+23}$ & 0.184 & 21.4 & 11.5 & 0 & 15.8\% & 1323.39 & 0.18 \\
+TabPFNv2 (D) & 1228${}_{-21,+24}$ & 0.324 & 21.4 & 6.5 & 3 & 13.1\% & 3.27 & 0.32 \\
+ModernNCA (D) & 1224${}_{-24,+24}$ & 0.159 & 21.7 & 11.5 & 1 & 15.4\% & 13.74 & 0.32 \\
+TabDPT (D) & 1215${}_{-27,+27}$ & 0.300 & 22.1 & 6.3 & 4 & 14.7\% & 20.56 & 8.62 \\
+RealMLP (D) & 1207${}_{-21,+26}$ & 0.104 & 22.4 & 16.2 & 0 & 14.0\% & 21.59 & 1.49 \\
+ExtraTrees (T+E) & 1204${}_{-24,+23}$ & 0.124 & 22.7 & 13.7 & 0 & 15.8\% & 191.44 & 0.76 \\
+EBM (T) & 1187${}_{-27,+23}$ & 0.135 & 23.5 & 11.7 & 1 & 16.5\% & 1323.39 & 0.02 \\
+TorchMLP (T) & 1186${}_{-19,+25}$ & 0.113 & 23.6 & 17.7 & 0 & 14.3\% & 2832.80 & 0.11 \\
+XGBoost (D) & 1185${}_{-24,+21}$ & 0.115 & 23.7 & 14.1 & 1 & 14.3\% & 2.06 & 0.12 \\
+ExtraTrees (T) & 1169${}_{-25,+25}$ & 0.094 & 24.4 & 12.8 & 0 & 16.7\% & 191.44 & 0.10 \\
+FastaiMLP (T+E) & 1164${}_{-22,+27}$ & 0.158 & 24.6 & 16.1 & 0 & 16.5\% & 594.95 & 4.65 \\
+RandomForest (T+E) & 1158${}_{-21,+23}$ & 0.098 & 25.0 & 15.1 & 0 & 16.4\% & 377.08 & 0.75 \\
+EBM (D) & 1150${}_{-26,+27}$ & 0.134 & 25.3 & 13.4 & 1 & 17.4\% & 5.48 & 0.06 \\
+LightGBM (D) & 1148${}_{-20,+28}$ & 0.088 & 25.4 & 21.6 & 0 & 15.2\% & 2.20 & 0.17 \\
+RandomForest (T) & 1115${}_{-16,+22}$ & 0.072 & 27.1 & 21.5 & 0 & 17.3\% & 377.08 & 0.09 \\
+FastaiMLP (T) & 1098${}_{-20,+23}$ & 0.073 & 27.8 & 19.5 & 0 & 18.1\% & 594.95 & 0.34 \\
+TorchMLP (D) & 1027${}_{-29,+20}$ & 0.022 & 31.0 & 27.5 & 0 & 19.8\% & 8.96 & 0.13 \\
+RandomForest (D) & 1000${}_{-0,+0}$ & 0.009 & 32.2 & 27.3 & 0 & 22.6\% & 0.43 & 0.05 \\
+FastaiMLP (D) & 974${}_{-23,+24}$ & 0.023 & 33.2 & 29.9 & 0 & 22.2\% & 3.12 & 0.31 \\
+ExtraTrees (D) & 967${}_{-26,+26}$ & 0.025 & 33.5 & 29.6 & 0 & 24.4\% & 0.26 & 0.05 \\
+Linear (T+E) & 870${}_{-28,+26}$ & 0.031 & 36.7 & 21.4 & 1 & 32.7\% & 47.11 & 0.16 \\
+Linear (T) & 831${}_{-22,+28}$ & 0.020 & 37.7 & 30.6 & 0 & 33.3\% & 47.11 & 0.06 \\
+Linear (D) & 798${}_{-31,+26}$ & 0.014 & 38.5 & 36.4 & 0 & 34.6\% & 1.53 & 0.09 \\
+KNN (T+E) & 715${}_{-36,+28}$ & 0.000 & 40.4 & 36.3 & 0 & 45.8\% & 2.61 & 0.16 \\
+KNN (T) & 650${}_{-36,+35}$ & 0.000 & 41.5 & 33.4 & 0 & 47.5\% & 2.61 & 0.03 \\
+KNN (D) & 466${}_{-48,+39}$ & 0.000 & 43.7 & 43.2 & 0 & 54.7\% & 0.05 & 0.02 \\
+\bottomrule
+\end{tabular}
\ No newline at end of file
diff --git a/data/lite/full-imputed/tabarena_leaderboard.csv b/data/lite/full-imputed/tabarena_leaderboard.csv
new file mode 100644
index 0000000000000000000000000000000000000000..170fd3cfa914f8f20fad3d6b3aaae1a326332a9a
--- /dev/null
+++ b/data/lite/full-imputed/tabarena_leaderboard.csv
@@ -0,0 +1,46 @@
+method,time_train_s,time_infer_s,time_train_s_per_1K,time_infer_s_per_1K,normalized-error,normalized-error-task,imputed,champ_delta,loss_rescaled,time_train_s_rescaled,time_infer_s_rescaled,rank,median_metric_error,median_time_train_s,median_time_infer_s,median_time_train_s_per_1K,median_time_infer_s_per_1K,median_normalized-error,median_normalized-error-task,median_imputed,median_champ_delta,median_loss_rescaled,median_time_train_s_rescaled,median_time_infer_s_rescaled,median_rank,rank=1_count,rank=2_count,rank=3_count,rank>3_count,elo,elo+,elo-,winrate,mrr
+AutoGluon 1.3 (4h),8355.364120885437,32.82596967734543,2898.240203433117,4.500812758268476,0.3819328741735569,0.3770688966591946,0.0,0.06390622359293244,0.041217519495144274,41965.2048341603,616.5290381859439,7.598039215686274,0.20731,7964.962425470352,4.336968660354614,1453.2679445956664,3.1473262800156863,0.32575782629688715,0.3195055666666006,0.0,0.036220438279793044,0.016044582675404963,27194.492186888157,175.7696866507318,6.0,7,7,3,34,1542.2,32.0,33.0,0.8500445632798574,0.31160926120777893
+REALMLP (tuned + ensemble),82067.04150357434,46.620822546528835,8632.9301863134,17.370629146496764,0.4634803896199485,0.45924468792998446,0.0,0.08266241385217407,0.05360332482663363,176783.27502952865,866.0711810995012,10.029411764705882,0.20693,31275.486653327942,20.346505880355835,6559.124623720848,8.595013673531266,0.4233707478718706,0.4266057238194146,0.0,0.041676367869615816,0.02894053041859053,137543.59089717592,754.0990720578875,8.0,3,3,4,41,1468.6,28.5,19.5,0.7947860962566845,0.2059245232356837
+GBM (tuned + ensemble),3051.8140357896395,23.19597311113395,765.6312795719994,3.893554958066526,0.5482943614672702,0.5802324566147745,0.0,0.10195425970004891,0.07582209751094779,11175.64311228686,518.7842315699711,11.92156862745098,0.2094,1670.2684843540192,3.933397054672241,416.5640684155986,2.2357814013957977,0.5661942244497019,0.5969263542300586,0.0,0.056825533415868046,0.03541199658807983,9062.280137688022,129.84563236620332,12.0,0,0,5,46,1425.1,26.5,24.7,0.7517825311942959,0.12037470444670732
+TABM_GPU (tuned + ensemble),36745.76943855192,8.411393100140142,5149.522818881001,3.299204733305397,0.49791774396870153,0.5366251533007463,0.0,0.08910568804791694,0.08145841683955529,79103.63593427226,131.94770411319155,12.176470588235293,0.20702,8818.62617468834,3.054008960723877,3133.9115732644937,1.2727714166408632,0.4651893659350262,0.5236377793041334,0.0,0.048678737735947,0.03776447060427699,49987.707956643724,112.26280083003438,10.0,2,0,4,45,1417.3,31.4,25.3,0.7459893048128342,0.16063806759656885
+CAT (tuned + ensemble),19506.186602929058,3.204344211840162,4009.454268521621,1.0312463789689519,0.5665168479793786,0.5765483867503225,0.0,0.0952275764012927,0.06667748555681205,53079.26276755286,76.04544084479011,13.068627450980392,0.20994,7158.277770042419,1.5355591773986816,1665.5315644683697,0.5594151152585728,0.5695869531891277,0.5656478386606927,0.0,0.04848406576376174,0.03278210845362601,22918.764355268395,47.71552750484114,11.0,0,0,5,46,1398.0,28.5,22.7,0.7257130124777184,0.11706898907023527
+MNCA_GPU (tuned + ensemble),50606.46933756155,274.8289722134085,6200.95174646742,33.492227920869496,0.5559334685448146,0.5359099538014397,0.0,0.09840471071491197,0.08190173524814136,106030.16699977385,1982.0660894780217,13.72549019607843,0.2069,14787.927460432053,13.568246603012085,4618.502341732761,7.737494511886756,0.5384753932635177,0.49725904468662846,0.0,0.05042203805715495,0.026551744085150493,92410.46095689958,607.7040280210158,12.0,5,3,2,41,1382.0,25.1,20.9,0.7107843137254902,0.2206650694868955
+CAT (tuned),19506.186602929058,0.4801775754666796,4009.454268521621,0.12298834764615349,0.5837954660770609,0.6105658884215094,0.0,0.09997676304978957,0.07166766279017629,53079.26276755286,9.224590724231657,14.107843137254902,0.2099,7158.277770042419,0.14083647727966309,1665.5315644683697,0.06528969211261772,0.5845247966032667,0.6121904865449591,0.0,0.052825231831448494,0.039234174928719376,22918.764355268395,4.080719588963731,14.0,0,3,0,48,1375.8,21.9,25.2,0.7020944741532977,0.11684766359499667
+XGB (tuned + ensemble),5938.998393348619,7.841493718764362,1213.0777679819278,3.1002279660820715,0.6385613101625683,0.6367323927592745,0.0,0.10771210097547056,0.08419601774905479,13936.971832341356,215.6442792684636,14.186274509803921,0.20933,2063.2708826065063,2.946662425994873,700.9607998746845,1.4386570273653,0.671301017368657,0.6269820382919887,0.0,0.06457358707058436,0.04050001929889269,11430.712273277264,98.30128646762262,13.0,1,2,1,47,1372.9,21.9,22.3,0.7003119429590018,0.12270752448323713
+GBM (tuned),3051.8140357896395,3.3178744736839745,765.6312795719994,0.6787985114862476,0.6366067117608026,0.6570773231970207,0.0,0.11117221268454557,0.09077971360559027,11175.64311228686,83.45556234970765,14.941176470588236,0.20979,1670.2684843540192,0.7316880226135254,416.5640684155986,0.3811195826851199,0.6296869528283883,0.6894469650860278,0.0,0.05983857821112848,0.04176567096628159,9062.280137688022,21.854692683376335,13.0,0,1,0,50,1355.3,28.8,20.5,0.6831550802139037,0.09660409682118858
+TABM_GPU (tuned),36745.76943855192,0.9327322455013499,5149.522818881001,0.3522030333025916,0.5874385027995309,0.6143195596137613,0.0,0.09841965478146567,0.09572048915752591,79103.63593427226,14.22083187601248,15.068627450980392,0.20774,8818.62617468834,0.25295114517211914,3133.9115732644937,0.13006170213303378,0.559085035183601,0.6325459317585411,0.0,0.04950878682353699,0.05438833715883013,49987.707956643724,9.039602142310635,14.0,0,2,4,45,1353.7,27.0,26.1,0.6802584670231729,0.12038975799158216
+CAT (default),186.54889291408014,0.4368261870215921,85.73305725415607,0.1697456044717195,0.6279909747535407,0.661300443911613,0.0,0.10765800375861413,0.07724638069569476,425.6698111187737,11.747370317227338,15.176470588235293,0.20726,25.447056531906128,0.4332277774810791,6.700347814449044,0.08827101352602937,0.6534673037587888,0.6999391357273155,0.0,0.06252446837171821,0.03385856499128612,120.27803545982526,7.036160265837067,15.0,1,1,0,49,1354.2,23.8,25.1,0.6778074866310161,0.10725471626676596
+XGB (tuned),5938.998393348619,1.6265712625840132,1213.0777679819278,0.6984321316309747,0.6869435084156271,0.6676202920248872,0.0,0.10974734030407483,0.08824361033497355,13936.971832341356,46.56690686937765,15.362745098039216,0.20927,2063.2708826065063,0.5078930854797363,700.9607998746845,0.21305428930075773,0.7193303230280006,0.7184922523909244,0.0,0.06599393337115189,0.04761154585613394,11430.712273277264,15.141274536165636,14.0,1,2,0,48,1348.1,24.2,23.5,0.6735739750445633,0.11261030495027546
+MNCA_GPU (tuned),50606.46933756155,14.969161491768032,6200.95174646742,1.6696617082037302,0.692913423977365,0.6230114933852047,0.0,0.10481212169907277,0.09343196398343544,106030.16699977385,104.17477306753874,15.53921568627451,0.20447,14787.927460432053,0.6251811981201172,4618.502341732761,0.46952933073043823,0.7553848478357736,0.6315515001589479,0.0,0.06144927536231881,0.05466681384890431,92410.46095689958,31.933384765725453,13.0,2,2,1,46,1344.5,24.7,21.0,0.6695632798573975,0.14651187196898943
+TABPFNV2_GPU (tuned + ensemble),9280.937638614692,101.0832102392234,2836.0220285499013,48.21038294992157,0.5239705071709494,0.5730376960557855,0.35294117647058826,0.10366348703715766,0.0977540660157534,61984.06966966662,4163.892043743008,16.558823529411764,0.21666,1926.0209152698517,7.814479351043701,2942.0790635597914,17.37173979844504,0.5915448073500406,0.6153846153846155,0.0,0.08318481827952429,0.03857004834586989,26428.31699976118,914.2037538981667,15.0,11,1,2,37,1324.0,26.0,25.5,0.6463903743315508,0.2928543983886399
+TABM_GPU (default),142.54126416468154,1.0708042359819598,23.88140219729834,0.4005178443372889,0.7149663388553331,0.7152499495938582,0.0,0.1268778920544805,0.12106183448201867,305.2739016434669,13.641685471262758,18.54901960784314,0.2124,38.16493201255798,0.17726969718933105,11.555005609392405,0.12732556548192603,0.8197432069948619,0.7811252019030427,0.0,0.07455117151840984,0.05717855281816143,191.5780246731349,9.78619298588067,17.0,0,1,1,49,1284.0,23.0,18.3,0.6011586452762924,0.08586090377844187
+REALMLP (tuned),82067.04150357434,2.0937890398736094,8632.9301863134,0.8676478578817012,0.770575243056979,0.738222159537682,0.0,0.12250815024892807,0.10245511989368125,176783.27502952865,34.039924606828805,18.666666666666668,0.21531,31275.486653327942,0.5825295448303223,6559.124623720848,0.349657589934167,0.866614722551564,0.7710071255853564,0.0,0.0698656429942418,0.05347283246893191,137543.59089717592,25.842995839112344,17.0,0,1,0,50,1282.5,23.5,25.8,0.5984848484848485,0.07744336875028272
+TABICL_GPU (default),89.99167278701184,15.994201370314055,7.671787946091385,1.7323065455173496,0.6187626573361198,0.6945869568436454,0.29411764705882354,0.11541084719646724,0.10728998455140165,134.32668884285462,203.85595038983618,18.784313725490197,0.20899,19.30116367340088,1.4308764934539795,6.856698312130071,1.5204305848178132,0.6419318555001297,0.8203500230278312,0.0,0.06412908564335906,0.048797809240279176,96.03934388429276,99.16403825333815,18.0,4,2,2,43,1278.8,26.8,21.6,0.5958110516934046,0.16207391452431377
+TABPFNV2_GPU (tuned),9280.937638614692,4.082395156224568,2836.0220285499013,1.9953713679087344,0.6402449044416614,0.6909552209814358,0.35294117647058826,0.12100773771158657,0.11491559646058619,61984.06966966662,159.46255672145648,19.264705882352942,0.22795,1926.0209152698517,0.3721911907196045,2942.0790635597914,0.2619314172957417,0.7603547647708915,0.9374660731733828,0.0,0.09148856392950888,0.05918640451838397,26428.31699976118,18.72396576888414,21.0,1,6,4,40,1269.0,25.7,17.4,0.5848930481283422,0.1557082671662397
+NN_TORCH (tuned + ensemble),29357.971773493522,13.246924213334626,3694.4132392234865,3.45030206949641,0.7804812465107793,0.7942281910602976,0.0,0.12369156459717033,0.10097362308285791,94556.98181855923,212.38450473432735,19.823529411764707,0.21375,10620.000384569168,3.6842262744903564,2832.7960851387297,1.800873875617981,0.9103501401347731,0.9282133174880375,0.0,0.07922111196515602,0.06654974418641565,57294.450258986595,164.18272158737435,21.0,0,0,1,50,1258.4,24.8,21.8,0.5721925133689839,0.0711803947184648
+EBM (tuned + ensemble),33815.09879914452,1.2886618586147534,6555.968895975794,0.4924074534971456,0.8160130792555895,0.7922116536748646,0.0,0.15830919949651442,0.14484597408084915,41186.37921180388,19.776872049406894,21.401960784313726,0.21048,2774.86767077446,0.33999180793762207,1323.3940540554784,0.18426990509033203,0.958308811651104,0.966938614382516,0.0,0.11314432082836512,0.06365614798694313,17200.38772644666,11.089686715499157,21.0,0,2,1,48,1230.3,22.2,22.9,0.536319073083779,0.08663578954059327
+TABPFNV2_GPU (default),12.262318129632988,0.840339740117391,4.40142189361026,0.44785573341984464,0.6758133693268394,0.7298195241925087,0.35294117647058826,0.1312587810821333,0.12700343736871175,68.41353371526327,34.453290769213694,21.41176470588235,0.22782,9.203422546386719,0.3870081901550293,3.265341403173851,0.3151157987035174,0.956340758739766,1.0,0.0,0.08973027820339718,0.08167997085223988,43.42507231078893,20.360866660523406,24.5,3,2,6,40,1227.9,23.6,20.7,0.536096256684492,0.15413057435361202
+MNCA_GPU (default),245.15467273020278,8.083605813045128,18.524091854412294,1.1280259623754931,0.840779547661087,0.8081572743289607,0.0,0.15404946603042724,0.11095777674889704,315.39790519179047,62.504831773745536,21.705882352941178,0.21297,40.294944524765015,0.5322227478027344,13.739717303881024,0.31576028319217697,1.0,0.9641203703703644,0.0,0.07931711197987557,0.08713555135923144,220.32243700895648,24.025524470708156,21.0,1,1,0,49,1224.1,23.8,23.1,0.5294117647058824,0.08712998268466692
+TABDPT_GPU (default),165.2279131459255,62.46656582402248,26.956914471170485,21.63883475001047,0.6999265055194402,0.7216180431261457,0.0,0.14742503114565889,0.11679298135501644,555.3035574597842,1632.683869591928,22.068627450980394,0.21757,99.63741898536682,27.656949520111084,20.559618245438234,8.61670085798515,0.9903591350487535,1.0,0.0,0.09511484956324834,0.05489681185866076,445.8805538455051,1247.4102886322382,25.0,4,3,0,44,1214.7,26.4,26.9,0.5211675579322638,0.15809881346420043
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diff --git a/data/lite/full-imputed/time_plot.png.zip b/data/lite/full-imputed/time_plot.png.zip
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diff --git a/data/lite/full-imputed/tuning-impact-elo-horizontal.png.zip b/data/lite/full-imputed/tuning-impact-elo-horizontal.png.zip
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diff --git a/data/tabicl-imputed/leaderboard.tex b/data/tabicl-imputed/leaderboard.tex
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index 0000000000000000000000000000000000000000..cb00ccf6606b7280af242749ce39d205bb99c59a
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+\begin{tabular}{llcccccrr}
+\toprule
+\textbf{Model} & \textbf{Elo ($\uparrow$)} & \textbf{Norm.} & \textbf{Avg.} & \textbf{Harm.} & \textbf{\#wins ($\uparrow$)} & \textbf{Improva-} & \textbf{Train time} & \textbf{Predict time} \\
+ &  & \textbf{score ($\uparrow$)} & \textbf{rank ($\downarrow$)} & \textbf{mean} &  & \textbf{bility ($\downarrow$)} & \textbf{per 1K [s]} & \textbf{per 1K [s]} \\
+ &  &  &  & \textbf{rank ($\downarrow$)} &  &  &  &  \\
+\midrule
+AutoGluon 1.3 (4h) & \textcolor{gold}{\textbf{1602${}_{-28,+35}$}} & \textcolor{gold}{\textbf{0.586}} & \textcolor{gold}{\textbf{9.4}} & \textcolor{bronze}{\textbf{3.5}} & \textcolor{bronze}{\textbf{5}} & \textcolor{gold}{\textbf{7.0\%}} & 1222.55 & 2.36 \\
+TabM (T+E) & \textcolor{silver}{\textbf{1594${}_{-29,+40}$}} & 0.502 & \textcolor{silver}{\textbf{9.6}} & 4.3 & 3 & 8.6\% & 2387.83 & 1.47 \\
+RealMLP (T+E) & \textcolor{bronze}{\textbf{1577${}_{-34,+30}$}} & 0.477 & \textcolor{bronze}{\textbf{10.3}} & 7.3 & 0 & \textcolor{bronze}{\textbf{8.5\%}} & 6446.89 & 10.45 \\
+TabICL (D) & 1569${}_{-29,+34}$ & \textcolor{silver}{\textbf{0.530}} & 10.6 & \textcolor{silver}{\textbf{3.4}} & \textcolor{silver}{\textbf{6}} & \textcolor{silver}{\textbf{7.3\%}} & 8.68 & 1.81 \\
+LightGBM (T+E) & 1548${}_{-32,+30}$ & 0.407 & 11.4 & 6.5 & 1 & 10.3\% & 374.34 & 1.46 \\
+TabM (T) & 1508${}_{-32,+34}$ & 0.417 & 13.1 & 6.2 & 1 & 9.6\% & 2387.83 & 0.16 \\
+CatBoost (T+E) & 1498${}_{-30,+29}$ & 0.393 & 13.5 & 8.5 & 0 & 9.5\% & 1233.49 & 0.52 \\
+CatBoost (T) & 1488${}_{-33,+36}$ & 0.375 & 14.0 & 6.9 & 1 & 9.7\% & 1233.49 & 0.07 \\
+TabPFNv2 (T+E) & 1488${}_{-35,+30}$ & \textcolor{bronze}{\textbf{0.515}} & 14.0 & \textcolor{gold}{\textbf{3.0}} & \textcolor{gold}{\textbf{8}} & 9.2\% & 3031.01 & 27.04 \\
+CatBoost (D) & 1477${}_{-33,+30}$ & 0.359 & 14.5 & 6.9 & 1 & 10.7\% & 5.31 & 0.07 \\
+LightGBM (T) & 1474${}_{-37,+31}$ & 0.320 & 14.6 & 12.3 & 0 & 11.0\% & 374.34 & 0.22 \\
+XGBoost (T+E) & 1468${}_{-29,+31}$ & 0.333 & 14.9 & 10.1 & 0 & 11.1\% & 637.94 & 1.22 \\
+ModernNCA (T) & 1438${}_{-34,+33}$ & 0.286 & 16.4 & 9.5 & 1 & 10.8\% & 4614.64 & 0.52 \\
+XGBoost (T) & 1429${}_{-37,+33}$ & 0.278 & 16.8 & 13.8 & 0 & 11.6\% & 637.94 & 0.17 \\
+ModernNCA (T+E) & 1428${}_{-32,+25}$ & 0.391 & 16.7 & 7.3 & 0 & 10.8\% & 4614.64 & 8.40 \\
+TabPFNv2 (T) & 1414${}_{-35,+32}$ & 0.396 & 17.3 & 4.9 & 1 & 11.7\% & 3031.01 & 0.59 \\
+TabM (D) & 1404${}_{-30,+24}$ & 0.281 & 18.0 & 11.5 & 0 & 12.9\% & 9.82 & 0.13 \\
+TabPFNv2 (D) & 1394${}_{-40,+28}$ & 0.363 & 18.5 & 4.6 & 4 & 12.7\% & 3.33 & 0.33 \\
+TorchMLP (T+E) & 1387${}_{-30,+29}$ & 0.239 & 18.8 & 14.5 & 0 & 11.9\% & 2372.22 & 2.09 \\
+RealMLP (T) & 1377${}_{-28,+34}$ & 0.182 & 19.3 & 16.6 & 0 & 12.3\% & 6446.89 & 0.47 \\
+EBM (T+E) & 1373${}_{-36,+28}$ & 0.179 & 19.4 & 13.5 & 0 & 15.5\% & 895.61 & 0.20 \\
+FastaiMLP (T+E) & 1351${}_{-31,+32}$ & 0.215 & 20.5 & 12.1 & 0 & 14.9\% & 582.77 & 4.52 \\
+ModernNCA (D) & 1337${}_{-35,+29}$ & 0.148 & 21.2 & 11.9 & 1 & 14.5\% & 14.53 & 0.34 \\
+EBM (T) & 1312${}_{-31,+27}$ & 0.118 & 22.5 & 18.0 & 0 & 16.2\% & 895.61 & 0.02 \\
+RealMLP (D) & 1280${}_{-29,+32}$ & 0.093 & 24.1 & 20.6 & 0 & 14.7\% & 20.98 & 0.70 \\
+EBM (D) & 1277${}_{-25,+36}$ & 0.126 & 24.1 & 11.6 & 1 & 17.0\% & 3.72 & 0.04 \\
+XGBoost (D) & 1264${}_{-30,+27}$ & 0.111 & 24.8 & 19.5 & 0 & 14.6\% & 1.58 & 0.11 \\
+TabDPT (D) & 1261${}_{-34,+32}$ & 0.190 & 24.9 & 7.8 & 2 & 15.9\% & 20.51 & 8.54 \\
+TorchMLP (T) & 1258${}_{-36,+30}$ & 0.096 & 25.2 & 21.8 & 0 & 14.5\% & 2372.22 & 0.15 \\
+ExtraTrees (T+E) & 1255${}_{-29,+33}$ & 0.085 & 25.2 & 19.1 & 0 & 16.5\% & 182.30 & 0.74 \\
+FastaiMLP (T) & 1245${}_{-28,+36}$ & 0.099 & 25.7 & 20.3 & 0 & 16.9\% & 582.77 & 0.29 \\
+RandomForest (T+E) & 1206${}_{-33,+26}$ & 0.067 & 27.6 & 17.6 & 0 & 17.5\% & 260.01 & 0.74 \\
+LightGBM (D) & 1200${}_{-30,+31}$ & 0.062 & 27.8 & 25.8 & 0 & 16.1\% & 1.41 & 0.12 \\
+ExtraTrees (T) & 1195${}_{-35,+30}$ & 0.056 & 27.9 & 23.9 & 0 & 17.9\% & 182.30 & 0.07 \\
+RandomForest (T) & 1151${}_{-32,+29}$ & 0.044 & 29.9 & 22.8 & 0 & 18.7\% & 260.01 & 0.07 \\
+TorchMLP (D) & 1102${}_{-36,+37}$ & 0.024 & 31.9 & 29.1 & 0 & 19.7\% & 6.03 & 0.13 \\
+FastaiMLP (D) & 1071${}_{-35,+35}$ & 0.032 & 33.0 & 29.7 & 0 & 22.3\% & 2.81 & 0.32 \\
+Linear (T+E) & 1031${}_{-34,+26}$ & 0.044 & 34.4 & 24.9 & 0 & 28.0\% & 44.46 & 0.20 \\
+RandomForest (D) & 1000${}_{-0,+0}$ & 0.003 & 35.3 & 33.8 & 0 & 24.4\% & 0.33 & 0.04 \\
+Linear (T) & 992${}_{-32,+33}$ & 0.029 & 35.6 & 30.1 & 0 & 28.9\% & 44.46 & 0.07 \\
+Linear (D) & 984${}_{-36,+30}$ & 0.020 & 35.9 & 27.2 & 0 & 30.0\% & 1.43 & 0.09 \\
+ExtraTrees (D) & 923${}_{-40,+31}$ & 0.011 & 37.5 & 34.5 & 0 & 26.9\% & 0.24 & 0.04 \\
+KNN (T+E) & 686${}_{-48,+31}$ & 0.000 & 41.8 & 41.5 & 0 & 49.7\% & 2.79 & 0.18 \\
+KNN (T) & 598${}_{-48,+39}$ & 0.000 & 42.8 & 42.7 & 0 & 51.5\% & 2.79 & 0.04 \\
+KNN (D) & 410${}_{-76,+57}$ & 0.000 & 44.2 & 44.1 & 0 & 60.0\% & 0.07 & 0.02 \\
+\bottomrule
+\end{tabular}
\ No newline at end of file
diff --git a/data/tabicl-imputed/tabarena_leaderboard.csv b/data/tabicl-imputed/tabarena_leaderboard.csv
new file mode 100644
index 0000000000000000000000000000000000000000..a0132bae0952114556c021cf67aca8f4045096f3
--- /dev/null
+++ b/data/tabicl-imputed/tabarena_leaderboard.csv
@@ -0,0 +1,46 @@
+method,time_train_s,time_infer_s,time_train_s_per_1K,time_infer_s_per_1K,normalized-error,normalized-error-task,imputed,champ_delta,loss_rescaled,time_train_s_rescaled,time_infer_s_rescaled,rank,median_metric_error,median_time_train_s,median_time_infer_s,median_time_train_s_per_1K,median_time_infer_s_per_1K,median_normalized-error,median_normalized-error-task,median_imputed,median_champ_delta,median_loss_rescaled,median_time_train_s_rescaled,median_time_infer_s_rescaled,median_rank,rank=1_count,rank=2_count,rank=3_count,rank>3_count,elo,elo+,elo-,winrate,mrr
+AutoGluon 1.3 (4h),7750.377155031171,22.84719785201697,2751.5674214709147,2.9633558383567813,0.4144505963692869,0.4352619231211416,0.0,0.07000986007620899,0.039268860832908876,32689.64667720609,276.28827431069953,9.38888888888889,0.159155,6752.988276031282,3.4718479580349393,1222.5529738029095,2.35500290690449,0.33567162503552783,0.4181224156574922,0.0,0.03226297629046343,0.018303111934730745,26140.06177622487,154.15434639040092,6.0,5,3,1,27,1601.6,34.4,27.8,0.8093434343434344,0.288914812829661
+TABM_GPU (tuned + ensemble),32820.849396629244,7.890166007074309,3102.495096524168,1.8344804606248617,0.49788606507212485,0.5371562727976057,0.0,0.08573854850398603,0.05963110226502587,48157.60289475875,128.99098784852723,9.63888888888889,0.17235499999999998,8134.35737352901,2.5847251441743637,2387.831479177676,1.4722284599091153,0.4807674997729695,0.552934558160541,0.0,0.03899671266638771,0.02990990162448854,44088.87353980956,121.43882105497326,9.0,3,2,2,29,1593.6,39.4,28.8,0.8036616161616161,0.2303289526010451
+REALMLP (tuned + ensemble),86961.40895521553,48.95350425258095,7053.8901372884375,11.533281107318116,0.5232701355856864,0.5484379442361398,0.0,0.08541598556741743,0.05063432894298128,149033.04908471802,856.2486449740531,10.291666666666666,0.16568,30350.410282479395,22.800243775049843,6446.893200302383,10.450137112404576,0.4880190327087218,0.5530787180349611,0.0,0.04889132639035737,0.023927651830585747,120902.17712034364,769.6999972028425,9.25,0,1,1,34,1577.3,29.6,33.7,0.7888257575757576,0.13750229718767315
+TABICL_GPU (default),112.87139065964723,20.33866377333064,9.733153451045638,2.345033367232273,0.46986010190672167,0.5341505383842204,0.0,0.07335178204321441,0.04928097738364384,178.07934402242574,242.8201765656135,10.61111111111111,0.17207,25.732762111557854,3.564396858215332,8.684246340890724,1.808164283651731,0.4743522890813915,0.5681798960380293,0.0,0.03487584587193143,0.016731980584033038,151.54793227614402,132.97465082181864,9.5,6,4,1,25,1569.4,33.3,29.0,0.7815656565656566,0.29813182434220914
+GBM (tuned + ensemble),2757.3124551578803,12.456019589415302,657.304398009506,2.529125543711048,0.5933117628464099,0.6164710188936273,0.0,0.10258435392468589,0.0611872038336614,9019.445489261983,194.08976472235491,11.430555555555555,0.16698000000000002,1484.5727322684393,3.4757837878333198,374.34433555986243,1.4573305804667545,0.6420006136885861,0.6386644676612248,0.0,0.05156709998972453,0.0219954442643497,8683.556526223521,104.28918180708692,10.5,1,1,2,32,1548.2,29.8,31.2,0.7629419191919192,0.15405014761380412
+TABM_GPU (tuned),32820.849396629244,0.8654038354202553,3102.495096524168,0.19252750021110288,0.5825327072195123,0.5896172732916097,0.0,0.09626470934526843,0.07382049807856697,48157.60289475875,13.240850473332038,13.097222222222221,0.174175,8134.35737352901,0.26544706026713055,2387.831479177676,0.1626291486781835,0.5594681994427791,0.6408535524589001,0.0,0.05532096025125255,0.03209545871697756,44088.87353980956,10.02168824405339,14.0,1,3,2,30,1507.7,33.1,31.5,0.7250631313131313,0.1618180270357294
+CAT (tuned + ensemble),14620.521881076362,2.36174942917294,2269.8595810438947,0.6522846741920234,0.6068511428259387,0.6119523691645283,0.0,0.0949145350489712,0.053163717044543084,28484.88552620336,44.38703157771985,13.527777777777779,0.16040500000000002,4812.184866507848,1.2190414004855685,1233.4944988708792,0.5157389806383175,0.6047135908900858,0.6672206540324936,0.0,0.05899268008834285,0.023358345198772973,20694.132105891145,37.76547447057217,13.0,0,1,3,32,1497.8,28.2,29.2,0.7152777777777778,0.1170427623125036
+CAT (tuned),14620.521881076362,0.4177007556697469,2269.8595810438947,0.10130234094803403,0.6252212171690145,0.6263034353785987,0.0,0.09729472701692973,0.052955674971925916,28484.88552620336,6.396687248681741,13.958333333333334,0.161705,4812.184866507848,0.12577376100752088,1233.4944988708792,0.07246540449837217,0.6530696602129458,0.6906073359413165,0.0,0.058863950439092316,0.027822328565894415,20694.132105891145,5.269306492183282,14.0,1,2,1,32,1488.2,35.2,32.5,0.7054924242424242,0.1454992812488078
+TABPFNV2_GPU (tuned + ensemble),10557.381464538972,107.05828573483008,2800.4111063818664,47.2254791910091,0.48490373301756556,0.5435741752601181,0.2777777777777778,0.0917776117050395,0.07513500024875362,52318.555408411885,3635.7848895640136,13.958333333333334,0.17261500000000002,2277.7389435132345,14.569461973508199,3031.00823805294,27.044389802716765,0.455190744457759,0.5777919166792829,0.0,0.04061436251124223,0.029417287395027428,29915.904357304615,1226.8083686763093,7.0,8,3,2,23,1487.6,29.8,34.7,0.7054924242424242,0.3382689516212349
+CAT (default),225.3881851879167,0.2547764916478852,113.28441441630724,0.11944997568510514,0.641469722817324,0.659484163823669,0.0,0.10699265488288708,0.05641613967680766,427.0412955109482,6.664774458427448,14.527777777777779,0.16373,17.732768376668293,0.17626664373609757,5.3143473208136776,0.0720373699728269,0.6679727149434583,0.7200930114073563,0.0,0.06110300628994497,0.025874497523709752,105.75875711549895,5.435542513489766,16.0,1,3,1,31,1477.4,29.5,32.2,0.6925505050505051,0.14547719726985292
+GBM (tuned),2757.3124551578803,1.9554996257946817,657.304398009506,0.5137681973731403,0.6801768631137874,0.6740824460484856,0.0,0.1104195696992849,0.07112526333243879,9019.445489261983,34.03980226584826,14.597222222222221,0.17060999999999998,1484.5727322684393,0.5311000559065078,374.34433555986243,0.2150466969054991,0.7198335031990888,0.6756468486633254,0.0,0.055167136392065996,0.031112468640158004,8683.556526223521,16.198247708611177,14.0,0,0,0,36,1474.2,30.2,36.6,0.6909722222222222,0.08121790918946042
+XGB (tuned + ensemble),5493.491215199232,6.412096421880487,917.6069037638632,2.6250017135715122,0.667221504669457,0.6703236269477952,0.0,0.11134706183921922,0.07209031540826369,11372.296711293906,142.78657719786145,14.86111111111111,0.165745,1589.3805764291023,2.081376380390591,637.9415221019913,1.2169344189421265,0.7199373388598738,0.7259505715046674,0.0,0.0611042440313741,0.030607277073101638,9210.443722124051,76.49553505940113,13.0,0,0,1,35,1468.1,30.4,28.1,0.6849747474747475,0.09864409133294516
+MNCA_GPU (tuned),57657.94978451405,20.4386415688344,5175.01000177568,1.4870657842617447,0.7139051650464947,0.6598180805923327,0.0,0.10801788904290464,0.07238169665437456,84656.4189016225,131.8799800913606,16.36111111111111,0.175815,13573.088971928755,0.5870524644851685,4614.640089198099,0.5156200362715774,0.7789380151687756,0.6741481297678236,0.0,0.06755655006003625,0.04344719805270737,72619.42076015053,27.073934594746163,16.5,1,0,0,35,1437.5,32.9,33.5,0.6508838383838383,0.10546683007675836
+MNCA_GPU (tuned + ensemble),57657.94978451405,541.5858152206297,5175.01000177568,37.18030109053553,0.6091755565497485,0.6070494848080898,0.0,0.1079738249244821,0.0824875514497159,84656.4189016225,3366.8719867776967,16.72222222222222,0.19167499999999998,13573.088971928755,13.54958667092853,4614.640089198099,8.395978282094799,0.6004419642795275,0.5800963441226324,0.0,0.07521383093199485,0.039747452446492706,72619.42076015053,536.5448946581089,12.5,0,2,4,30,1427.7,24.9,31.6,0.6426767676767676,0.13635715943004306
+XGB (tuned),5493.491215199232,1.3085634729008617,917.6069037638632,0.6530885382876873,0.7222715149155855,0.7103087290569601,0.0,0.11556707073041328,0.07662471890863082,11372.296711293906,29.704007586433832,16.77777777777778,0.16848000000000002,1589.3805764291023,0.36310173670450846,637.9415221019913,0.1716870718901738,0.7533869940641466,0.7531012522750911,0.0,0.07553227424104386,0.0351477420959022,9210.443722124051,11.556301431859715,15.5,0,0,0,36,1428.8,32.3,36.1,0.6414141414141414,0.07269176227897872
+TABPFNV2_GPU (tuned),10557.381464538972,3.5877571221487026,2800.4111063818664,1.6323263976196694,0.6037821065431752,0.6296551164283334,0.2777777777777778,0.11748719725537295,0.0903892471054136,52318.555408411885,120.27811182838367,17.305555555555557,0.1868,2277.7389435132345,0.5116564194361368,3031.00823805294,0.5868151874902603,0.6617013701332746,0.651413564581804,0.0,0.08561151707807774,0.03658630335592475,29915.904357304615,28.32255960244214,10.5,1,8,1,26,1414.2,31.2,34.1,0.6294191919191919,0.20211887470493353
+TABM_GPU (default),138.894014670893,0.939259964963536,13.258693701508712,0.18837149821625798,0.7187944376125526,0.7305819252435415,0.0,0.1292600200409365,0.09224775627676693,198.59294054356857,12.617551449180137,18.041666666666668,0.175255,25.32820102903578,0.18552133904563056,9.819120211215754,0.1330683562425531,0.8315398727681542,0.7950654471852272,0.0,0.06154427249600947,0.03281090889681732,147.95052750875777,10.814297716965921,16.5,0,0,1,35,1403.5,23.8,29.2,0.6126893939393939,0.08661374604424155
+TABPFNV2_GPU (default),10.947083245604126,0.9331302737012321,4.035215198044816,0.47311805105554033,0.636703159615234,0.6872245075140289,0.2777777777777778,0.1270861209281617,0.09962337360619754,56.66111760729146,31.04552226404085,18.47222222222222,0.1886,7.492631395657857,0.30309558312098184,3.3292708959332433,0.32914197487032515,0.777395370386663,0.7325492470622512,0.0,0.07929605277196083,0.034405727147343024,46.89348887212364,18.74748191899635,17.0,4,1,4,27,1394.2,28.0,39.3,0.6029040404040404,0.21964051467131465
+NN_TORCH (tuned + ensemble),25121.675461051862,15.268945999498719,2998.2377676701126,3.008285271799925,0.7609802892009417,0.7461165137257577,0.0,0.11924702116888536,0.07969728268752577,59110.75454743922,227.46421879425387,18.77777777777778,0.17071999999999998,8702.23048403528,3.8643554978900485,2372.2159626094954,2.0891774346723144,0.8880043848397714,0.8073663594549582,0.0,0.06782479524801643,0.04484831234958845,46965.794452564674,173.17543399472862,19.0,0,0,0,36,1387.1,28.1,29.5,0.5959595959595959,0.06873630364946683
+REALMLP (tuned),86961.40895521553,2.0594779475235643,7053.8901372884375,0.6072534092763734,0.8175152448539208,0.7559562210409045,0.0,0.12322394182013983,0.08533470139842285,149033.04908471802,39.01479821938993,19.26388888888889,0.17271999999999998,30350.410282479395,0.9161458677715726,6446.893200302383,0.46776237641023743,0.8954815082143113,0.7906338583190218,0.0,0.076222073390521,0.04561771439992753,120902.17712034364,34.892936572121684,18.75,0,0,0,36,1377.4,33.7,27.7,0.5849116161616161,0.06030253530176412
+EBM (tuned + ensemble),28019.426662537786,1.0875822747195207,2272.8378900325356,0.27343562526003057,0.821456563024862,0.8165703903512577,0.0,0.15463342826689588,0.11176088893587201,26169.487179400727,18.583552688722236,19.444444444444443,0.177485,2278.5297676722207,0.3938958803812663,895.6082584208186,0.2030472330989584,0.9034396658321221,0.8509428943624828,0.0,0.0823298574360965,0.040258063765572304,16406.757135657386,11.254406005139426,19.0,0,0,1,35,1373.4,27.8,35.2,0.5808080808080808,0.07414732902917813
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+MNCA_GPU (default),316.27131853140435,10.342945864171158,16.66944361197823,0.8061333025000202,0.8522725113780977,0.8033578681232494,0.0,0.14526299205359128,0.09098388342703735,268.415346120585,74.8577885297529,21.194444444444443,0.18519,30.626362359523775,0.5374451610777113,14.527288647230225,0.336567721078897,0.9980966808032234,0.8596665365861158,0.0,0.07974632039399476,0.04958848985494747,215.5139276781307,21.914790751288265,22.5,1,0,0,35,1337.2,28.3,34.6,0.5410353535353535,0.0837859844146563
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diff --git a/data/tabicl-imputed/time_plot.png.zip b/data/tabicl-imputed/time_plot.png.zip
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diff --git a/data/tabpfn-imputed/leaderboard.tex b/data/tabpfn-imputed/leaderboard.tex
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index 0000000000000000000000000000000000000000..ca0496147a87905c4f5abace6459fb667eedce60
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+\begin{tabular}{llcccccrr}
+\toprule
+\textbf{Model} & \textbf{Elo ($\uparrow$)} & \textbf{Norm.} & \textbf{Avg.} & \textbf{Harm.} & \textbf{\#wins ($\uparrow$)} & \textbf{Improva-} & \textbf{Train time} & \textbf{Predict time} \\
+ &  & \textbf{score ($\uparrow$)} & \textbf{rank ($\downarrow$)} & \textbf{mean} &  & \textbf{bility ($\downarrow$)} & \textbf{per 1K [s]} & \textbf{per 1K [s]} \\
+ &  &  &  & \textbf{rank ($\downarrow$)} &  &  &  &  \\
+\midrule
+TabPFNv2 (T+E) & \textcolor{gold}{\textbf{1720${}_{-31,+40}$}} & \textcolor{gold}{\textbf{0.725}} & \textcolor{gold}{\textbf{5.8}} & \textcolor{gold}{\textbf{2.1}} & \textcolor{gold}{\textbf{11}} & \textcolor{gold}{\textbf{3.8\%}} & 3899.42 & 55.83 \\
+RealMLP (T+E) & \textcolor{silver}{\textbf{1603${}_{-32,+38}$}} & \textcolor{bronze}{\textbf{0.524}} & \textcolor{silver}{\textbf{9.2}} & 5.5 & 0 & \textcolor{bronze}{\textbf{7.6\%}} & 7141.94 & 12.29 \\
+TabM (T+E) & \textcolor{bronze}{\textbf{1583${}_{-35,+31}$}} & 0.492 & \textcolor{bronze}{\textbf{9.8}} & 4.9 & 2 & 7.9\% & 3372.56 & 1.66 \\
+AutoGluon 1.3 (4h) & 1560${}_{-35,+30}$ & 0.507 & 10.7 & 4.7 & 2 & 8.2\% & 2727.51 & 3.24 \\
+TabPFNv2 (T) & 1558${}_{-33,+34}$ & \textcolor{silver}{\textbf{0.545}} & 10.8 & \textcolor{bronze}{\textbf{4.0}} & 1 & \textcolor{silver}{\textbf{7.1\%}} & 3899.42 & 0.98 \\
+LightGBM (T+E) & 1521${}_{-37,+26}$ & 0.376 & 12.4 & 7.4 & 1 & 10.4\% & 771.57 & 2.49 \\
+TabPFNv2 (D) & 1501${}_{-39,+29}$ & 0.490 & 13.2 & \textcolor{silver}{\textbf{3.9}} & \textcolor{bronze}{\textbf{4}} & 8.7\% & 4.22 & 0.55 \\
+CatBoost (T+E) & 1481${}_{-32,+31}$ & 0.354 & 14.1 & 9.9 & 0 & 10.1\% & 2034.85 & 0.80 \\
+TabICL (D) & 1474${}_{-31,+27}$ & 0.432 & 14.4 & 4.1 & \textcolor{bronze}{\textbf{4}} & 8.9\% & 7.27 & 1.64 \\
+TabM (T) & 1472${}_{-28,+26}$ & 0.390 & 14.5 & 8.3 & 0 & 9.1\% & 3372.56 & 0.21 \\
+CatBoost (T) & 1460${}_{-29,+28}$ & 0.327 & 15.0 & 9.6 & 0 & 10.3\% & 2034.85 & 0.10 \\
+LightGBM (T) & 1453${}_{-33,+28}$ & 0.303 & 15.3 & 13.4 & 0 & 10.9\% & 771.57 & 0.32 \\
+XGBoost (T+E) & 1427${}_{-29,+26}$ & 0.281 & 16.6 & 13.5 & 0 & 11.5\% & 828.74 & 2.31 \\
+CatBoost (D) & 1419${}_{-29,+38}$ & 0.272 & 16.7 & 10.3 & 0 & 11.9\% & 8.51 & 0.12 \\
+TabM (D) & 1400${}_{-28,+29}$ & 0.302 & 17.8 & 11.6 & 0 & 12.1\% & 12.24 & 0.15 \\
+ModernNCA (T) & 1399${}_{-32,+33}$ & 0.235 & 17.7 & 9.9 & 1 & 11.0\% & 6147.69 & 0.48 \\
+XGBoost (T) & 1390${}_{-25,+24}$ & 0.241 & 18.1 & 16.0 & 0 & 11.8\% & 828.74 & 0.34 \\
+ModernNCA (T+E) & 1390${}_{-28,+32}$ & 0.332 & 18.2 & 8.5 & 0 & 11.4\% & 6147.69 & 8.15 \\
+TabDPT (D) & 1379${}_{-27,+29}$ & 0.378 & 18.6 & 4.2 & \textcolor{silver}{\textbf{5}} & 12.3\% & 28.84 & 9.01 \\
+RealMLP (T) & 1366${}_{-25,+27}$ & 0.206 & 19.3 & 16.1 & 0 & 11.1\% & 7141.94 & 0.71 \\
+EBM (T+E) & 1343${}_{-32,+41}$ & 0.192 & 20.5 & 11.8 & 0 & 15.2\% & 1331.68 & 0.21 \\
+ModernNCA (D) & 1339${}_{-31,+32}$ & 0.160 & 20.6 & 11.3 & 1 & 14.1\% & 16.16 & 0.31 \\
+TorchMLP (T+E) & 1335${}_{-33,+27}$ & 0.197 & 20.8 & 15.9 & 0 & 12.4\% & 3704.30 & 2.07 \\
+FastaiMLP (T+E) & 1304${}_{-32,+29}$ & 0.188 & 22.3 & 12.8 & 0 & 15.1\% & 1459.62 & 8.06 \\
+EBM (T) & 1285${}_{-33,+31}$ & 0.136 & 23.2 & 16.1 & 0 & 15.9\% & 1331.68 & 0.02 \\
+ExtraTrees (T+E) & 1271${}_{-29,+26}$ & 0.133 & 23.8 & 15.3 & 0 & 16.7\% & 416.39 & 1.39 \\
+RealMLP (D) & 1271${}_{-31,+26}$ & 0.106 & 23.9 & 20.4 & 0 & 13.7\% & 22.96 & 1.87 \\
+EBM (D) & 1261${}_{-34,+21}$ & 0.148 & 24.4 & 11.2 & 1 & 16.7\% & 5.89 & 0.07 \\
+TorchMLP (T) & 1229${}_{-30,+34}$ & 0.107 & 25.8 & 22.3 & 0 & 14.5\% & 3704.30 & 0.14 \\
+ExtraTrees (T) & 1227${}_{-40,+29}$ & 0.102 & 26.0 & 19.9 & 0 & 17.6\% & 416.39 & 0.18 \\
+FastaiMLP (T) & 1220${}_{-33,+32}$ & 0.094 & 26.3 & 20.6 & 0 & 16.4\% & 1459.62 & 0.89 \\
+XGBoost (D) & 1192${}_{-27,+32}$ & 0.030 & 27.4 & 25.5 & 0 & 15.4\% & 3.05 & 0.24 \\
+LightGBM (D) & 1171${}_{-30,+25}$ & 0.038 & 28.5 & 26.8 & 0 & 15.9\% & 3.39 & 0.16 \\
+RandomForest (T+E) & 1167${}_{-30,+29}$ & 0.071 & 28.6 & 22.1 & 0 & 18.1\% & 572.67 & 1.42 \\
+RandomForest (T) & 1107${}_{-29,+39}$ & 0.036 & 31.0 & 28.2 & 0 & 19.2\% & 572.67 & 0.14 \\
+TorchMLP (D) & 1069${}_{-27,+42}$ & 0.029 & 32.5 & 29.3 & 0 & 19.6\% & 11.82 & 0.15 \\
+FastaiMLP (D) & 1025${}_{-33,+31}$ & 0.020 & 34.0 & 31.7 & 0 & 22.1\% & 5.18 & 0.65 \\
+ExtraTrees (D) & 1008${}_{-30,+34}$ & 0.031 & 34.5 & 30.4 & 0 & 24.6\% & 0.42 & 0.08 \\
+RandomForest (D) & 1000${}_{-0,+0}$ & 0.004 & 34.8 & 33.2 & 0 & 23.5\% & 0.47 & 0.07 \\
+Linear (T+E) & 972${}_{-29,+31}$ & 0.044 & 35.7 & 25.3 & 0 & 29.7\% & 97.00 & 0.22 \\
+Linear (T) & 941${}_{-35,+36}$ & 0.029 & 36.7 & 30.6 & 0 & 30.2\% & 97.00 & 0.09 \\
+Linear (D) & 920${}_{-42,+28}$ & 0.020 & 37.2 & 27.5 & 0 & 31.7\% & 2.99 & 0.10 \\
+KNN (T+E) & 692${}_{-50,+41}$ & 0.000 & 41.5 & 41.2 & 0 & 46.0\% & 2.80 & 0.18 \\
+KNN (T) & 608${}_{-48,+43}$ & 0.000 & 42.6 & 42.5 & 0 & 47.8\% & 2.80 & 0.04 \\
+KNN (D) & 372${}_{-105,+65}$ & 0.000 & 44.3 & 44.2 & 0 & 55.8\% & 0.07 & 0.03 \\
+\bottomrule
+\end{tabular}
\ No newline at end of file
diff --git a/data/tabpfn-imputed/tabarena_leaderboard.csv b/data/tabpfn-imputed/tabarena_leaderboard.csv
new file mode 100644
index 0000000000000000000000000000000000000000..b9c6b23d37e51918157d14e248f15ee90bf37ba9
--- /dev/null
+++ b/data/tabpfn-imputed/tabarena_leaderboard.csv
@@ -0,0 +1,46 @@
+method,time_train_s,time_infer_s,time_train_s_per_1K,time_infer_s_per_1K,normalized-error,normalized-error-task,imputed,champ_delta,loss_rescaled,time_train_s_rescaled,time_infer_s_rescaled,rank,median_metric_error,median_time_train_s,median_time_infer_s,median_time_train_s_per_1K,median_time_infer_s_per_1K,median_normalized-error,median_normalized-error-task,median_imputed,median_champ_delta,median_loss_rescaled,median_time_train_s_rescaled,median_time_infer_s_rescaled,median_rank,rank=1_count,rank=2_count,rank=3_count,rank>3_count,elo,elo+,elo-,winrate,mrr
+TABPFNV2_GPU (tuned + ensemble),14425.017745771953,147.33083187377815,4401.396029095723,73.66242671660264,0.27516860637025115,0.3603555375107131,0.0,0.038105234440633594,0.026782950269144352,97206.53847125142,5748.512821917254,5.7727272727272725,0.22151,6554.713698530197,48.78112569650014,3899.4164285155534,55.8334682198027,0.17987789052252875,0.3534601056500293,0.0,0.014027742147710298,0.009805464057384642,76922.9404189982,3038.197671565286,3.0,11,4,3,15,1719.8,39.6,30.3,0.8915289256198347,0.4801184377951626
+REALMLP (tuned + ensemble),21372.515179977676,15.681909071235143,7576.910333884578,13.311283840245572,0.4758709884053711,0.5150335164004382,0.0,0.07574206256804669,0.045271823351844084,149682.80929987264,797.3567089859678,9.196969696969697,0.23199,11845.681601381302,14.194016642040676,7141.940159399529,12.293594768542036,0.44270236511716554,0.4682312902019519,0.0,0.03826066759873625,0.02687212859881103,129127.09723567181,690.7149727636221,7.0,0,4,2,27,1603.2,37.3,32.0,0.8137052341597796,0.18165850096261016
+TABM_GPU (tuned + ensemble),7759.403633462299,2.1001035646156025,4063.8948551919407,2.0262676290994976,0.5079988964437289,0.5440563382781555,0.0,0.0790871342651138,0.05662145831204036,68994.91604679843,112.78737728828092,9.848484848484848,0.22996,6619.307261109352,1.565106577343411,3372.559747313985,1.6579582265448953,0.4651893659350262,0.5420701690271631,0.0,0.038378144006785075,0.03425172068662737,47614.825535817596,107.26839105814781,9.0,2,1,2,28,1582.6,30.1,34.9,0.7988980716253443,0.20563982440305573
+AutoGluon 1.3 (4h),6055.818895130286,4.270678644549565,3922.7285559191146,3.7248760797186677,0.49289366855599703,0.5145998717655849,0.0,0.08159774704016189,0.05211281940109976,55071.75177189554,226.07763766376502,10.727272727272727,0.23252,5245.15874774456,2.643711381488376,2727.5131652494383,3.239980099911348,0.4404834188453446,0.5458460772361734,0.0,0.03289499571493004,0.03718969914596063,42990.839716832954,133.93997628187762,8.0,2,3,0,28,1560.5,30.0,34.1,0.7789256198347108,0.21057530939150743
+TABPFNV2_GPU (tuned),14425.017745771953,5.209287579613502,4401.396029095723,2.5426283197700723,0.4548654021522606,0.4934476784128812,0.0,0.07053987055307652,0.05344000271928163,97206.53847125142,204.9255427422306,10.787878787878787,0.22735,6554.713698530197,0.8280300378799439,3899.4164285155534,0.9826616035428936,0.36706067616596666,0.5176267485065693,0.0,0.03437211181910249,0.021856445988952963,76922.9404189982,51.81666634218519,6.0,1,9,2,21,1558.5,33.1,32.2,0.7775482093663911,0.2528154074311644
+GBM (tuned + ensemble),1415.9841766067627,4.799208115006135,910.5198965732433,4.069284327482318,0.6237089744532728,0.6525581177848765,0.0,0.10428404160158442,0.06311285464696612,13668.933422648086,267.51058203721857,12.378787878787879,0.22857,1305.722465435664,2.759434594048394,771.5692555555095,2.4904788987789197,0.6590330537833339,0.6929140073332589,0.0,0.04583211069062432,0.04469640874832902,13185.517460723013,113.47473834277966,11.0,1,0,1,31,1521.2,25.7,36.4,0.7413911845730028,0.13499068874884596
+TABPFNV2_GPU (default),11.52095359335042,1.0633954972129076,6.06940244179637,0.672221391108446,0.5098348478838993,0.5763734971282789,0.0,0.08650643788287256,0.07123949707004915,98.45527177302218,43.21321073170591,13.181818181818182,0.22839,8.920613225301107,0.4424108028411865,4.216795518748306,0.554313340790968,0.35267762555284565,0.4964096417837951,0.0,0.046436046436047484,0.024781083502458036,86.18639524525906,32.62493249187355,5.0,4,1,4,24,1500.9,28.3,39.0,0.7231404958677686,0.25894171083751066
+CAT (tuned + ensemble),6111.719856242539,1.006158811716921,3790.183958691414,0.8907615430657749,0.6455557540407405,0.6592143082058544,0.0,0.10086936448956937,0.06664334011743277,60543.81785886913,53.55072795645876,14.06060606060606,0.23306,3546.8591198126474,0.7182260619269477,2034.851316438205,0.804742177327474,0.6050990092049177,0.6841715460836575,0.0,0.057913957490063894,0.05601309827846158,22945.70625086803,41.43902270876451,13.0,0,0,2,31,1481.0,30.1,31.9,0.703168044077135,0.10100258106957156
+TABICL_GPU (default),17.601916466818917,2.220749478067212,8.223267143306801,1.62619082060654,0.5676760927563484,0.6167304326779658,0.21212121212121213,0.0885594645099666,0.06951992440652786,118.07631364935412,95.53326061925603,14.378787878787879,0.21659,12.685983737309774,1.1608605914645724,7.267564825342236,1.640227848921365,0.5876984027531944,0.7272892322270896,0.0,0.04180356358509396,0.026535607179780867,110.9966550885031,89.55280278440337,10.0,4,3,1,25,1473.7,26.6,30.8,0.6959366391184573,0.24335886946636603
+TABM_GPU (tuned),7759.403633462299,0.20657940898278745,4063.8948551919407,0.21768183700894184,0.609895479329719,0.6093055261596303,0.0,0.09090766997883803,0.07407083534637013,68994.91604679843,11.66689658584399,14.469696969696969,0.23179,6619.307261109352,0.18380210134718153,3372.559747313985,0.207815816005071,0.5598513637019573,0.6254805836016907,0.0,0.04895084966574903,0.04210334551764721,47614.825535817596,11.061181528720304,14.0,0,2,1,30,1471.9,25.4,27.7,0.693870523415978,0.12042284667296002
+CAT (tuned),6111.719856242539,0.1329929079672303,3790.183958691414,0.13532680535635316,0.6728787851175252,0.6792836442667326,0.0,0.10338894489993479,0.06791309035479874,60543.81785886913,7.594073997033244,14.969696969696969,0.22837,3546.8591198126474,0.09593041737874348,2034.851316438205,0.09676511402452573,0.647597639226874,0.6911120328445807,0.0,0.05854822331192988,0.05607775996232369,22945.70625086803,5.6651414641322715,14.0,0,1,1,31,1460.5,27.2,28.4,0.6825068870523416,0.10441246932104374
+GBM (tuned),1415.9841766067627,0.7482920802402174,910.5198965732433,0.7792669151777867,0.6969993606145813,0.6924613027004218,0.0,0.10949149242597529,0.07146136760763892,13668.933422648086,44.04955699034316,15.348484848484848,0.23047,1305.722465435664,0.3891807476679484,771.5692555555095,0.32246047162149255,0.7229707836237061,0.6960725352902953,0.0,0.05089516062517585,0.0589344586982637,13185.517460723013,17.561755180687065,15.0,0,0,0,33,1453.0,27.4,32.4,0.6738980716253443,0.07464942620240468
+XGB (tuned + ensemble),1916.6055530242247,2.961519778778256,1177.527465794311,3.6728650211989002,0.7185677192768513,0.722148041893201,0.0,0.11542292686657665,0.07837696956248971,16012.343458246229,184.54969165931055,16.560606060606062,0.22933,1391.6566625965966,1.6547198295593262,828.736683312722,2.3118448001769525,0.764137252094651,0.7358430401520624,0.0,0.060774906477773616,0.059085857523070544,12341.448622348875,104.93870139682326,15.0,0,0,0,33,1426.6,25.3,28.7,0.6463498622589532,0.07391568853347559
+CAT (default),152.82380405130613,0.14037318871880222,127.11927189400713,0.16217538557702282,0.7280864974283284,0.7512406750981568,0.0,0.11924475836986947,0.07620192670528358,502.113809148077,8.351109219795852,16.696969696969695,0.22377,11.973733305931091,0.15812701649136013,8.50783362735807,0.12332610453035381,0.8380223338819129,0.8033087154025523,0.0,0.05487383563224202,0.03792057600443833,113.47556087857672,7.212822094475863,17.0,0,2,0,31,1418.8,37.7,29.0,0.6432506887052342,0.09678993813551463
+MNCA_GPU (tuned),10961.64198641737,0.5195780056494254,6318.399005594662,0.47834981044798197,0.7647328075370147,0.6898374034753542,0.0,0.1103572864806074,0.0800405306609752,105260.96546626008,25.986174703676685,17.742424242424242,0.23735,10053.083413600922,0.4133593638737996,6147.690948218725,0.484748090925306,0.8482811842457822,0.7606311221156988,0.0,0.06726118482226873,0.07061019028987191,89084.88026764008,22.392018959457452,17.0,1,0,0,32,1399.0,32.5,31.2,0.6194903581267218,0.10140865667548635
+TABM_GPU (default),28.548644328920126,0.1798720349366416,18.542173393427806,0.19723712265145438,0.6977749862118511,0.7149920612365777,0.0,0.12066262568276763,0.09211746164016242,318.94007895221296,9.774328855022276,17.78787878787879,0.2315,20.942287389437357,0.15928708182440865,12.243907458197643,0.15399858651571716,0.6569935308526149,0.6827665147004843,0.0,0.0643765592382024,0.04493622716672658,186.77830789084513,9.305311172432566,16.0,0,0,1,32,1399.5,28.3,27.9,0.6184573002754821,0.08617602260911217
+XGB (tuned),1916.6055530242247,0.652148759324944,1177.527465794311,0.8866854120458099,0.7588074126661332,0.7461617910569237,0.0,0.11776030589331012,0.0818292044946032,16012.343458246229,38.50908627958101,18.09090909090909,0.23215,1391.6566625965966,0.25174130333794487,828.736683312722,0.3364459349309477,0.8235105262706657,0.7756241929814622,0.0,0.06701911684547046,0.05575460601692295,12341.448622348875,17.273530689905304,17.0,0,0,0,33,1390.5,23.2,24.3,0.6115702479338843,0.06266615528226868
+MNCA_GPU (tuned + ensemble),10961.64198641737,10.701994556690307,6318.399005594662,8.75762576226945,0.6676135227367788,0.6534477080949888,0.0,0.11364677800622328,0.08762387807842323,105260.96546626008,520.9142587851533,18.151515151515152,0.23071,10053.083413600922,8.386180957158407,6147.690948218725,8.148513113458952,0.7048964433216691,0.7058737809385717,0.0,0.07494103959274867,0.05038781311089743,89084.88026764008,418.52804655660253,15.0,0,1,4,28,1389.5,31.3,27.3,0.6101928374655647,0.11804912964918021
+TABDPT_GPU (default),70.92158105132556,22.39591003114527,34.81759719100062,31.279468309323132,0.6222872639977844,0.6468633419407165,0.0,0.12299859864430328,0.07605368916267982,622.0717388752522,1500.5607209171305,18.636363636363637,0.22801,66.73408037026724,21.411699827512106,28.844939328856388,9.008305936432574,0.7018399153398434,0.7397102470891475,0.0,0.060533105776061635,0.04402125832146232,592.5429859587771,1255.434427440434,15.0,5,0,3,25,1378.9,28.6,26.7,0.5991735537190083,0.23623457185050586
+REALMLP (tuned),21372.515179977676,0.7507762807788271,7576.910333884578,0.7684449786885911,0.7939247948511633,0.7300163658944212,0.0,0.11091064673017946,0.08420419305125372,149682.80929987264,40.78238583214569,19.272727272727273,0.23636,11845.681601381302,0.6823460261027018,7141.940159399529,0.7133444196440386,0.8902891579003764,0.7867023319953254,0.0,0.0725920001334972,0.0601983861857661,129127.09723567181,34.94993703848655,19.0,0,0,0,33,1366.1,27.0,24.2,0.5847107438016529,0.06198998601813431
+EBM (tuned + ensemble),3334.2171648572994,0.32795600762672295,2025.6302479633398,0.2872227792040727,0.8075157818891786,0.8174517621532933,0.0,0.15173080345823362,0.13052482131305762,30754.382185448365,16.68266150462009,20.454545454545453,0.2332,1953.8706483443577,0.2473998334672716,1331.6775166450918,0.20701186245225042,0.9152208832034938,0.8754163899058429,0.0,0.08428901213465023,0.06235962049926,20856.10396834409,10.735277156769923,20.0,0,1,1,31,1343.2,40.7,31.3,0.5578512396694215,0.08476526991548487
+MNCA_GPU (default),29.288330355718077,0.40948904010181875,16.590279085679306,0.35807771432707775,0.8402594157175141,0.7888402529369766,0.0,0.1406153506333289,0.09170738554084455,276.94632919034655,19.94068662634551,20.606060606060606,0.22862,25.066760566499497,0.27276016076405846,16.16104653455061,0.3065299705640804,1.0,0.837956478652546,0.0,0.07623534801441778,0.06857639602487717,228.23494043552506,15.69192319835031,23.0,1,0,0,32,1338.8,31.2,30.5,0.5544077134986226,0.08828110124295789
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diff --git a/data/tabpfn-imputed/time_plot.png.zip b/data/tabpfn-imputed/time_plot.png.zip
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diff --git a/data/tabpfn-imputed/tuning-impact-elo-horizontal.png.zip b/data/tabpfn-imputed/tuning-impact-elo-horizontal.png.zip
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diff --git a/data/tabpfn-tabicl/leaderboard.tex b/data/tabpfn-tabicl/leaderboard.tex
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index 0000000000000000000000000000000000000000..d851fa4beba0c5dd82cca34bdb433aefdab7f0ae
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+\begin{tabular}{llcccccrr}
+\toprule
+\textbf{Model} & \textbf{Elo ($\uparrow$)} & \textbf{Norm.} & \textbf{Avg.} & \textbf{Harm.} & \textbf{\#wins ($\uparrow$)} & \textbf{Improva-} & \textbf{Train time} & \textbf{Predict time} \\
+ &  & \textbf{score ($\uparrow$)} & \textbf{rank ($\downarrow$)} & \textbf{mean} &  & \textbf{bility ($\downarrow$)} & \textbf{per 1K [s]} & \textbf{per 1K [s]} \\
+ &  &  &  & \textbf{rank ($\downarrow$)} &  &  &  &  \\
+\midrule
+TabPFNv2 (T+E) & \textcolor{gold}{\textbf{1745${}_{-45,+50}$}} & \textcolor{gold}{\textbf{0.713}} & \textcolor{gold}{\textbf{5.7}} & \textcolor{gold}{\textbf{2.2}} & \textcolor{gold}{\textbf{8}} & \textcolor{gold}{\textbf{4.6\%}} & 3445.60 & 48.24 \\
+TabM (T+E) & \textcolor{silver}{\textbf{1620${}_{-39,+34}$}} & 0.491 & \textcolor{silver}{\textbf{9.2}} & 4.5 & 2 & 9.2\% & 2828.45 & 1.60 \\
+TabICL (D) & \textcolor{bronze}{\textbf{1614${}_{-36,+35}$}} & \textcolor{silver}{\textbf{0.549}} & \textcolor{bronze}{\textbf{9.4}} & \textcolor{silver}{\textbf{3.3}} & \textcolor{silver}{\textbf{4}} & \textcolor{silver}{\textbf{7.1\%}} & 8.89 & 1.74 \\
+TabPFNv2 (T) & 1593${}_{-42,+30}$ & \textcolor{silver}{\textbf{0.549}} & 10.3 & 3.7 & 1 & \textcolor{bronze}{\textbf{8.2\%}} & 3445.60 & 1.00 \\
+RealMLP (T+E) & 1593${}_{-37,+29}$ & 0.461 & 10.2 & 6.9 & 0 & 9.2\% & 6796.27 & 12.37 \\
+AutoGluon 1.3 (4h) & 1549${}_{-48,+33}$ & 0.455 & 11.9 & 5.6 & 1 & 9.5\% & 2309.21 & 2.55 \\
+TabPFNv2 (D) & 1546${}_{-39,+38}$ & 0.503 & 12.0 & \textcolor{bronze}{\textbf{3.4}} & \textcolor{silver}{\textbf{4}} & 9.5\% & 4.06 & 0.44 \\
+LightGBM (T+E) & 1524${}_{-34,+37}$ & 0.334 & 12.9 & 7.3 & 1 & 11.8\% & 647.56 & 1.72 \\
+TabM (T) & 1514${}_{-41,+32}$ & 0.393 & 13.4 & 7.4 & 0 & 10.4\% & 2828.45 & 0.22 \\
+LightGBM (T) & 1467${}_{-37,+33}$ & 0.277 & 15.3 & 13.2 & 0 & 12.2\% & 647.56 & 0.28 \\
+CatBoost (T+E) & 1461${}_{-34,+37}$ & 0.283 & 15.7 & 11.2 & 0 & 11.7\% & 1465.86 & 0.69 \\
+CatBoost (T) & 1440${}_{-35,+35}$ & 0.257 & 16.6 & 10.5 & 0 & 12.0\% & 1465.86 & 0.09 \\
+TabM (D) & 1432${}_{-36,+35}$ & 0.293 & 17.0 & 10.9 & 0 & 13.7\% & 10.42 & 0.15 \\
+CatBoost (D) & 1430${}_{-38,+33}$ & 0.239 & 17.0 & 9.9 & 0 & 13.3\% & 5.72 & 0.11 \\
+ModernNCA (T) & 1428${}_{-30,+34}$ & 0.262 & 17.1 & 8.8 & 1 & 11.7\% & 5944.88 & 0.52 \\
+XGBoost (T+E) & 1419${}_{-39,+34}$ & 0.230 & 17.6 & 14.0 & 0 & 13.1\% & 766.06 & 1.92 \\
+EBM (T+E) & 1387${}_{-35,+29}$ & 0.189 & 19.1 & 12.5 & 0 & 15.7\% & 1109.06 & 0.23 \\
+XGBoost (T) & 1382${}_{-30,+38}$ & 0.191 & 19.2 & 16.8 & 0 & 13.4\% & 766.06 & 0.28 \\
+RealMLP (T) & 1382${}_{-31,+39}$ & 0.184 & 19.3 & 16.4 & 0 & 12.8\% & 6796.27 & 0.73 \\
+ModernNCA (T+E) & 1375${}_{-37,+34}$ & 0.311 & 19.6 & 8.6 & 0 & 12.7\% & 5944.88 & 8.40 \\
+ModernNCA (D) & 1367${}_{-34,+32}$ & 0.185 & 19.9 & 10.0 & 1 & 15.1\% & 14.80 & 0.34 \\
+TorchMLP (T+E) & 1366${}_{-33,+31}$ & 0.211 & 20.1 & 14.9 & 0 & 13.3\% & 2862.05 & 2.16 \\
+FastaiMLP (T+E) & 1362${}_{-38,+34}$ & 0.239 & 20.2 & 11.1 & 0 & 15.7\% & 1358.63 & 8.07 \\
+TabDPT (D) & 1328${}_{-33,+27}$ & 0.263 & 21.9 & 6.1 & 2 & 14.8\% & 27.49 & 8.86 \\
+EBM (T) & 1324${}_{-44,+32}$ & 0.126 & 22.2 & 17.2 & 0 & 16.5\% & 1109.06 & 0.03 \\
+EBM (D) & 1305${}_{-38,+31}$ & 0.160 & 23.0 & 9.7 & 1 & 17.3\% & 5.28 & 0.08 \\
+FastaiMLP (T) & 1269${}_{-44,+36}$ & 0.119 & 24.7 & 18.9 & 0 & 17.2\% & 1358.63 & 0.90 \\
+RealMLP (D) & 1268${}_{-32,+34}$ & 0.087 & 24.7 & 21.6 & 0 & 15.6\% & 22.51 & 1.64 \\
+ExtraTrees (T+E) & 1261${}_{-51,+29}$ & 0.103 & 25.1 & 17.7 & 0 & 18.2\% & 370.85 & 1.47 \\
+TorchMLP (T) & 1234${}_{-32,+36}$ & 0.097 & 26.1 & 22.5 & 0 & 15.9\% & 2862.05 & 0.15 \\
+XGBoost (D) & 1210${}_{-35,+41}$ & 0.038 & 27.3 & 25.1 & 0 & 16.7\% & 2.40 & 0.22 \\
+ExtraTrees (T) & 1201${}_{-32,+37}$ & 0.072 & 27.6 & 22.8 & 0 & 19.4\% & 370.85 & 0.16 \\
+RandomForest (T+E) & 1156${}_{-30,+34}$ & 0.056 & 29.6 & 22.3 & 0 & 19.5\% & 527.42 & 1.39 \\
+LightGBM (D) & 1154${}_{-32,+37}$ & 0.035 & 29.7 & 27.9 & 0 & 17.7\% & 2.90 & 0.13 \\
+RandomForest (T) & 1094${}_{-31,+36}$ & 0.021 & 32.1 & 29.5 & 0 & 20.8\% & 527.42 & 0.12 \\
+TorchMLP (D) & 1080${}_{-30,+37}$ & 0.034 & 32.4 & 28.9 & 0 & 21.4\% & 10.38 & 0.19 \\
+FastaiMLP (D) & 1052${}_{-31,+34}$ & 0.026 & 33.6 & 30.9 & 0 & 23.0\% & 4.73 & 0.62 \\
+Linear (T+E) & 1030${}_{-40,+39}$ & 0.056 & 34.3 & 22.9 & 0 & 28.3\% & 88.63 & 0.26 \\
+RandomForest (D) & 1000${}_{-0,+0}$ & 0.005 & 35.4 & 33.6 & 0 & 25.8\% & 0.45 & 0.07 \\
+Linear (T) & 997${}_{-43,+37}$ & 0.037 & 35.3 & 28.5 & 0 & 29.0\% & 88.63 & 0.09 \\
+Linear (D) & 982${}_{-39,+42}$ & 0.025 & 35.8 & 25.1 & 0 & 30.5\% & 2.27 & 0.11 \\
+ExtraTrees (D) & 956${}_{-48,+44}$ & 0.015 & 36.7 & 33.0 & 0 & 27.5\% & 0.40 & 0.07 \\
+KNN (T+E) & 706${}_{-48,+50}$ & 0.000 & 41.6 & 41.2 & 0 & 48.0\% & 2.97 & 0.17 \\
+KNN (T) & 611${}_{-49,+52}$ & 0.000 & 42.7 & 42.5 & 0 & 50.1\% & 2.97 & 0.04 \\
+KNN (D) & 410${}_{-97,+86}$ & 0.000 & 44.2 & 44.1 & 0 & 59.2\% & 0.07 & 0.02 \\
+\bottomrule
+\end{tabular}
\ No newline at end of file
diff --git a/data/tabpfn-tabicl/tabarena_leaderboard.csv b/data/tabpfn-tabicl/tabarena_leaderboard.csv
new file mode 100644
index 0000000000000000000000000000000000000000..81f56846b73b7ea64e429e797650f26a804f4609
--- /dev/null
+++ b/data/tabpfn-tabicl/tabarena_leaderboard.csv
@@ -0,0 +1,46 @@
+method,time_train_s,time_infer_s,time_train_s_per_1K,time_infer_s_per_1K,normalized-error,normalized-error-task,imputed,champ_delta,loss_rescaled,time_train_s_rescaled,time_infer_s_rescaled,rank,median_metric_error,median_time_train_s,median_time_infer_s,median_time_train_s_per_1K,median_time_infer_s_per_1K,median_normalized-error,median_normalized-error-task,median_imputed,median_champ_delta,median_loss_rescaled,median_time_train_s_rescaled,median_time_infer_s_rescaled,median_rank,rank=1_count,rank=2_count,rank=3_count,rank>3_count,elo,elo+,elo-,winrate,mrr
+TABPFNV2_GPU (tuned + ensemble),14614.639715819583,148.11643430860633,3877.419600731425,65.38306906011915,0.28678978417816775,0.36802578112939455,0.0,0.046199529063116605,0.028953107532712387,72438.91792383758,5032.936436246271,5.711538461538462,0.17261500000000002,8173.816975453165,60.12680508957969,3445.602606086448,48.23597351862546,0.2205553142586971,0.4119431743489412,0.0,0.021640889295981347,0.01687441435881499,43032.16406688419,2931.913108083719,3.5,8,3,2,13,1744.8,49.9,44.6,0.8929195804195804,0.4573568026266538
+TABM_GPU (tuned + ensemble),7080.034926002046,2.290320276704609,3436.5218404284533,2.1079046445931953,0.5088870310870036,0.5502148202809035,0.0,0.09238775584230949,0.04985849884037403,43123.835967101855,114.22499982092596,9.23076923076923,0.17379499999999998,6405.6722231189415,1.880999751885732,2828.4486752645407,1.5957955528425738,0.4807674997729695,0.552934558160541,0.0,0.04617144277378826,0.034316541138176816,44088.87353980956,109.46959390379024,8.5,2,1,1,22,1620.5,33.6,38.7,0.8129370629370629,0.2232701744704473
+TABICL_GPU (default),21.933824618351764,2.7954679915028757,10.278805574502684,2.035731958506663,0.4512811946522884,0.5193395651291017,0.0,0.07108756808334525,0.034689269294893396,145.15967621212897,119.47187491598106,9.423076923076923,0.17207,19.54939921696981,2.1857474181387158,8.891901835466445,1.7433667301105085,0.4714674425983171,0.5893306649922065,0.0,0.03487584587193143,0.02062556592021359,120.41628593220491,98.62751622705991,8.0,4,3,1,18,1614.3,35.0,35.6,0.8085664335664335,0.30038336835483237
+REALMLP (tuned + ensemble),22557.367400865067,16.92627251148224,7536.649022231907,13.528429463644256,0.5391293578105109,0.5610323152414572,0.0,0.09167243360994543,0.050711164692383556,129779.24577573304,792.4654559581195,10.173076923076923,0.173815,14323.011887841756,15.38266196515825,6796.2676485876,12.365217761885718,0.506879945270726,0.5713063476221716,0.0,0.04889132639035737,0.032252119049673914,113460.03331383408,666.1733358924521,9.25,0,1,1,24,1593.2,28.1,36.1,0.7915209790209791,0.14568408028160348
+TABPFNV2_GPU (tuned),14614.639715819583,4.849548537201351,3877.419600731425,2.254088269272259,0.45139060905978096,0.48721477659307727,0.0,0.08179741674819369,0.05007437241116467,72438.91792383758,165.31166707386078,10.346153846153847,0.1868,8173.816975453165,0.8871031337314181,3445.602606086448,0.9952991538273057,0.3556785171687077,0.49260260495569347,0.0,0.05804204088839793,0.02327176321840322,43032.16406688419,48.819771718398094,6.0,1,8,1,16,1593.3,30.0,41.6,0.7875874125874126,0.2688413115117749
+AutoGluon 1.3 (4h),5931.009838958377,3.1656774007357082,3673.8246676849526,3.0250106370782723,0.5453015597077798,0.551608410257374,0.0,0.09461403802109652,0.05278875434794407,39712.28933278582,151.42916243848958,11.923076923076923,0.17691,5020.2655313505065,2.664059625731574,2309.213100138395,2.5543334551748154,0.5329018805269501,0.564628859523932,0.0,0.047627759409483605,0.04116173129591805,35357.34871646478,128.98489015193604,8.5,1,2,0,23,1549.2,32.6,47.5,0.7517482517482518,0.17979779944912772
+TABPFNV2_GPU (default),11.884418644151115,1.1739113624279316,5.514520630749067,0.6490305586450037,0.4969736056210933,0.5669262411732706,0.0,0.09512310407816416,0.06286358591123144,76.29505964660768,41.758850754001486,12.038461538461538,0.1886,8.093020015292698,0.44081105126274955,4.062007578219401,0.4356807523460313,0.36947822708003786,0.5314622329509133,0.0,0.05018180969629027,0.021765272352146064,58.62232186481185,25.39697585954705,5.0,4,1,4,17,1545.9,37.8,38.7,0.7491258741258742,0.2929835638700715
+GBM (tuned + ensemble),1379.7589400635827,3.041326452829899,860.8328230742596,2.952036385308545,0.6657481018831596,0.6839901368858755,0.0,0.11763135033701075,0.06190617706409025,10455.248725429481,156.11534656534064,12.942307692307692,0.174085,1321.8940714677174,2.4085231754514904,647.5566852470606,1.7204157994123173,0.6871978920855942,0.6973917723105316,0.0,0.05156709998972453,0.05140473961387122,9480.825611975059,103.35126359750211,12.0,1,0,1,24,1523.8,36.9,33.7,0.728583916083916,0.13766946258113175
+TABM_GPU (tuned),7080.034926002046,0.2169825582422762,3436.5218404284533,0.22059896519012676,0.6069327367930709,0.6041117671664842,0.0,0.10415142755636804,0.0634734305378328,43123.835967101855,11.305450805467302,13.365384615384615,0.17596499999999998,6405.6722231189415,0.19745506313112046,2828.4486752645407,0.21564835018398254,0.5648701425467781,0.6431391594849503,0.0,0.06661219922938116,0.04216183343366903,44088.87353980956,9.589800419015791,13.5,0,2,1,23,1514.3,31.5,41.0,0.7189685314685315,0.1346814850606291
+GBM (tuned),1379.7589400635827,0.5707490142594036,860.8328230742596,0.6449583363337497,0.7228979250207982,0.7058101964109172,0.0,0.12190920678437432,0.06697490603245197,10455.248725429481,28.289876597893098,15.326923076923077,0.17371999999999999,1321.8940714677174,0.34941615396075776,647.5566852470606,0.28350492153737616,0.7665571529464766,0.7066235514415495,0.0,0.055167136392065996,0.05173098916436741,9480.825611975059,16.480248719877835,15.0,0,0,0,26,1466.6,32.3,36.5,0.6743881118881119,0.07566422588192029
+CAT (tuned + ensemble),4698.536897969144,0.9597997341400538,2797.035390366479,0.7965719365801648,0.7170548537161707,0.7134226783294108,0.0,0.11678551357841017,0.070692810046672,27448.91121504087,44.04781428274726,15.73076923076923,0.1771,3111.985966463884,0.7725222905476887,1465.8584785724734,0.6919304562740058,0.7872283925054006,0.732977106258743,0.0,0.0655088388746699,0.053959374396486216,21194.263639925673,39.04121549244424,15.5,0,0,2,24,1460.8,36.4,33.2,0.6652097902097902,0.08944640549297035
+CAT (tuned),4698.536897969144,0.11917537287769155,2797.035390366479,0.12051762325590008,0.743441660872026,0.7323790142940958,0.0,0.11966484148538205,0.07092154412213542,27448.91121504087,5.822055889865127,16.576923076923077,0.177215,3111.985966463884,0.10264339711931017,1465.8584785724734,0.09138547661664378,0.8395738793220267,0.7706205283931036,0.0,0.06254942533618796,0.05674313716914728,21194.263639925673,5.623705460666335,16.5,0,1,0,25,1440.3,35.0,34.3,0.6459790209790209,0.09554479235182911
+CAT (default),184.70535022315818,0.14151572040003588,154.6142383995702,0.1555426094856078,0.7609683280174484,0.7735939128687849,0.0,0.13291716006066936,0.07483896168122789,477.2608484422213,7.423108461919998,16.96153846153846,0.176625,11.6375067697631,0.16093741522894967,5.723546572951673,0.1101036800878527,0.8509645845274714,0.8315753996038593,0.0,0.07003170550807408,0.037594866478298045,107.22813859237792,5.910285969899903,18.0,0,2,0,24,1430.2,32.5,37.1,0.6372377622377622,0.10136602526278639
+TABM_GPU (default),25.031941110761757,0.20188171669968172,14.494913436183246,0.20961960333163143,0.7073629011311515,0.7187464199165071,0.0,0.13697955308317783,0.07804753275194268,189.57549613749592,9.978425427673205,17.0,0.175255,19.491187883747948,0.16552388005786473,10.418743379746541,0.15495242186411928,0.7255503354617996,0.7368230723205171,0.0,0.07020888606704828,0.04168400568174062,140.5904555433362,9.536419533323254,14.0,0,0,1,25,1432.4,34.7,35.6,0.6363636363636364,0.09163686449085374
+MNCA_GPU (tuned),10872.434398398032,0.5841771599573967,5614.838977261846,0.5087025474163123,0.7381569257478842,0.6629980011184993,0.0,0.11651894666071064,0.07336434047866673,77920.67944321278,26.83390437537825,17.134615384615383,0.17598,10294.846671289868,0.4166409836875068,5944.878874246984,0.5156200362715774,0.835109147002796,0.7215315181988433,0.0,0.06755655006003625,0.057542536642744974,66956.02864547497,22.936826653686147,17.0,1,0,0,25,1428.2,34.0,29.1,0.6333041958041958,0.11344690953636491
+XGB (tuned + ensemble),1872.6912781718452,2.683822184852046,1147.2290814465296,3.3619425077092306,0.7700046331253076,0.7584957089348034,0.0,0.13102529659388182,0.08005804166927238,11800.394028929062,144.45205787298235,17.634615384615383,0.18004,1385.052251373397,1.6176902174949646,766.0569170086173,1.9172343251389494,0.8138714172419255,0.7736024300804334,0.0,0.07343601410090844,0.052916644618479496,11520.40078776449,81.51508510452376,15.75,0,0,0,26,1418.7,33.3,38.4,0.6219405594405595,0.07145619883307336
+EBM (tuned + ensemble),2781.1579704396745,0.37791664172441536,1628.507747090886,0.31990997744824035,0.8107693992272296,0.8130312037051659,0.0,0.15727014105330875,0.1147747162813527,16692.42562947248,18.328617946180266,19.115384615384617,0.190645,1861.6872274941868,0.27221977710723877,1109.0589152421817,0.22935467594400044,0.9143281956988789,0.8324702308099496,0.0,0.0849735392053248,0.05122045075434685,17695.477225433653,12.287120931350431,19.5,0,0,1,25,1386.8,28.6,34.6,0.5882867132867133,0.07980726095945688
+XGB (tuned),1872.6912781718452,0.6264070270407913,1147.2290814465296,0.8619192527074968,0.8091376057067142,0.7804628004900049,0.0,0.13354760891147244,0.08261886840998532,11800.394028929062,30.013383573853858,19.23076923076923,0.18088500000000002,1385.052251373397,0.25049915578630233,766.0569170086173,0.27754517145625424,0.8584872047951659,0.7823842751785922,0.0,0.07798856953005051,0.052696432684783016,11520.40078776449,11.544680214373663,19.5,0,0,0,26,1382.4,37.6,29.9,0.5856643356643356,0.05948147991731615
+REALMLP (tuned),22557.367400865067,0.8037233395454211,7536.649022231907,0.7475802961701496,0.8159242974551196,0.7431297778968523,0.0,0.12831548562022352,0.08016832668808226,129779.24577573304,38.49879722033203,19.346153846153847,0.176795,14323.011887841756,0.6870223946041532,6796.2676485876,0.7311902546116515,0.9055458050077084,0.7906338583190218,0.0,0.076222073390521,0.06456358654483704,113460.03331383408,33.9836370254647,19.0,0,0,0,26,1382.1,38.7,30.2,0.583041958041958,0.06089899180632481
+MNCA_GPU (tuned + ensemble),10872.434398398032,12.131162534310267,5614.838977261846,9.225622394556064,0.6894819069412794,0.6680816828228461,0.0,0.12705647111885687,0.09495264807215059,77920.67944321278,542.9013751751211,19.615384615384617,0.193055,10294.846671289868,9.331144248114692,5944.878874246984,8.395978282094799,0.7196681887948866,0.7088852482744055,0.0,0.10101560653736502,0.048750216328898435,66956.02864547497,426.41545163369784,15.5,0,1,3,22,1374.8,33.7,36.9,0.5769230769230769,0.11638038970676967
+MNCA_GPU (default),28.48231661941251,0.466951452768766,14.20837500082612,0.38564885096222307,0.814733537385181,0.7636691905714614,0.0,0.15085267890377566,0.08288628866859794,190.09277232716437,21.03504265137771,19.923076923076923,0.18519,24.325043747160173,0.36861725648244226,14.804303881798361,0.336567721078897,0.9852635719475782,0.7845495801025242,0.0,0.07974632039399476,0.053259111831894385,190.7747999331715,15.595042220247258,22.0,1,0,0,25,1366.8,31.6,33.6,0.5699300699300699,0.09968879371505522
+NN_TORCH (tuned + ensemble),8367.9645569837,3.8136142372066137,3603.347061143873,3.319891821445254,0.789332468820142,0.763048179574523,0.0,0.13325555172470904,0.07705269210898663,56068.072795326945,181.3894555134842,20.076923076923077,0.17949500000000002,6973.094145007928,2.944306871626112,2862.0511040893566,2.157502904371376,0.929200394977775,0.867096988886354,0.0,0.06782479524801643,0.060477195648830424,51500.257380537965,155.60936197975602,20.5,0,0,0,26,1366.2,30.7,32.9,0.5664335664335665,0.06714954864647764
+FASTAI (tuned + ensemble),2658.981896154697,9.680411353478066,1616.869681108774,10.454986295420108,0.7612867161422255,0.7680594978175002,0.0,0.1568263353343394,0.08996186978718192,20955.495033608,514.94962880429,20.192307692307693,0.17986000000000002,2313.697349058257,8.905639794137743,1358.6299051921596,8.066833347447606,0.966752862972931,0.8192027149002457,0.0,0.08132830034754124,0.05523334112431259,17602.335588839425,531.7232414230566,20.5,0,1,0,25,1362.0,34.0,37.7,0.5638111888111889,0.09043991205909353
+TABDPT_GPU (default),73.6718590354308,22.101120046978323,33.70000421461804,29.140721170745643,0.7369463160785844,0.7376189224156473,0.0,0.14812258779168241,0.09258933488429072,529.9323761499634,1297.090837487081,21.923076923076923,0.204185,71.26209372944302,21.38572289016512,27.488664901286818,8.862313494979123,0.9934509167853494,0.8819532136837882,0.0,0.06691814537901497,0.047152893925625654,513.7039796057306,1113.0844664803024,25.5,2,0,3,21,1328.1,26.1,32.1,0.5244755244755245,0.1652513277638594
+EBM (tuned),2781.1579704396745,0.04655793772803412,1628.507747090886,0.04424123436436782,0.8741362650172407,0.8486402698707779,0.0,0.16506051187996698,0.12247707446474837,16692.42562947248,2.268478500812272,22.173076923076923,0.19155,1861.6872274941868,0.0338150527742174,1109.0589152421817,0.02733291425041831,1.0,0.8920041279466094,0.0,0.0928869358898275,0.062194755491841634,17695.477225433653,1.252412448907763,24.0,0,0,0,26,1323.6,32.0,43.2,0.5187937062937062,0.05813096634548205
+EBM (default),10.549292183941246,0.06438207361433242,5.791308777159165,0.0798605102452594,0.8400271134997129,0.8487713109543825,0.0,0.17250673803024968,0.1242665515372485,75.26102802648397,3.652629917649085,22.96153846153846,0.19248500000000002,8.052384217580158,0.051854162746005586,5.279257749622374,0.07769986864408396,1.0,0.9013272947121589,0.0,0.09554880640873625,0.05656333545253643,77.97362526017017,3.340101142403973,23.5,1,0,2,23,1305.1,30.9,37.1,0.5008741258741258,0.10357115772052694
+FASTAI (tuned),2658.981896154697,0.7253259826929142,1616.869681108774,0.8254771149356669,0.8809901967099656,0.8331277991174584,0.0,0.17198923689106127,0.10544002279773745,20955.495033608,39.61972184578173,24.673076923076923,0.18178,2313.697349058257,0.7597291602028741,1358.6299051921596,0.8969521438633071,1.0,0.8511566734075353,0.0,0.09660908052453743,0.07038888057026207,17602.335588839425,37.14448504861147,23.5,0,0,0,26,1269.4,35.7,43.6,0.4619755244755245,0.053035697298350795
+REALMLP (default),64.63560309084053,2.1168234704906106,23.294746921478428,3.559757523085833,0.9128237161083051,0.8529272202090016,0.0,0.155832358170872,0.09609156090120739,412.6999871750535,152.21281941530677,24.692307692307693,0.17759999999999998,39.836480140686035,1.8815347883436415,22.509551099714287,1.6399439572487942,1.0,0.8792664545910313,0.0,0.11770994919600164,0.07176066792477417,317.0070586720106,101.22633902233932,25.5,0,0,0,26,1268.3,33.3,32.0,0.46153846153846156,0.0463012884663464
+XT (tuned + ensemble),714.8477392964893,1.554570463987497,476.1600651525857,1.7304383155841179,0.8972330639628154,0.8658630644450889,0.0,0.18213065340665885,0.12358057737795101,6037.128774148354,86.31947081771706,25.115384615384617,0.18718,684.9222148127026,1.3082488920953539,370.85408017752667,1.4664534567412004,1.0,0.93225990863037,0.0,0.09673248817237246,0.07594774077990443,5339.627074654447,77.0823275943278,28.75,0,0,0,26,1260.9,28.1,50.4,0.4519230769230769,0.056583927890065173
+NN_TORCH (tuned),8367.9645569837,0.19940724566451504,3603.347061143873,0.20335754670694137,0.9026334443249968,0.8505534111678406,0.0,0.15913477525938158,0.09939495197790925,56068.072795326945,10.018943215736572,26.096153846153847,0.18092,6973.094145007928,0.144207231203715,2862.0511040893566,0.15177921475257505,1.0,0.9104892489328,0.0,0.10379368194908523,0.09268904724445692,51500.257380537965,8.681540922799902,27.0,0,0,0,26,1234.1,35.1,31.4,0.42963286713286714,0.044537959237026664
+XGB (default),4.970388249658113,0.2682310309165563,3.142391352663509,0.37694382359999684,0.9616503827377219,0.9074903041248756,0.0,0.16741258325301087,0.12284059879020369,37.42364826794432,14.932177592236862,27.326923076923077,0.18894,4.433991021580166,0.20984046989017063,2.395188706947506,0.2182544724645258,1.0,0.9524606541941862,0.0,0.11516738963641299,0.07681744526375522,34.313637563138,10.099890730056913,26.0,0,0,0,26,1210.2,40.8,34.4,0.40166083916083917,0.03991507925820152
+XT (tuned),714.8477392964893,0.1734743657275143,476.1600651525857,0.2154329300724878,0.9278062134116685,0.894456393905736,0.0,0.19352157020279787,0.13326004552891305,6037.128774148354,9.800458404720944,27.615384615384617,0.19,684.9222148127026,0.15512712796529132,370.85408017752667,0.16132775528274945,1.0,0.9660073423997149,0.0,0.10725622533000512,0.08413965072039432,5339.627074654447,8.581565117405717,31.5,0,0,0,26,1200.8,36.5,31.4,0.3951048951048951,0.04392917095451317
+RF (tuned + ensemble),915.5438805149151,1.5748089445961848,532.5626464695567,1.640386311447312,0.9441488988669617,0.9119059796513475,0.0,0.1949239309121447,0.1477964033866862,6794.043055663636,81.1610891109226,29.615384615384617,0.18906,789.1687051984999,1.122593025366465,527.4239458868619,1.3899910445458383,1.0,0.9937950899255451,0.0,0.11848316871815162,0.09151554725140643,6269.6136687159,75.55960345229795,32.0,0,0,0,26,1156.4,33.4,29.8,0.34965034965034963,0.044833755203573834
+GBM (default),5.376282313848153,0.20799484711426958,3.3489543497095178,0.19728412961063485,0.9647597830572252,0.9226882159397388,0.0,0.17658301542562455,0.11946138423570958,42.11806124941037,9.792256635961557,29.73076923076923,0.188175,5.033887876404656,0.22240020169152153,2.8984772023300502,0.13282292956587455,1.0,0.9556137019600007,0.0,0.11805347934940252,0.09964492878261602,38.718264562373335,7.411495765404641,29.5,0,0,0,26,1153.9,36.6,31.6,0.34702797202797203,0.03587490743850603
+RF (tuned),915.5438805149151,0.159982283706339,532.5626464695567,0.2003027211432199,0.9785345462614525,0.9406434238705461,0.0,0.20796626054264733,0.15738141593056762,6794.043055663636,8.85724716182767,32.11538461538461,0.190815,789.1687051984999,0.14185967445373537,527.4239458868619,0.12279197881507195,1.0,0.9949804738019044,0.0,0.132245519872299,0.10601779560500876,6269.6136687159,8.226247917103098,33.5,0,0,0,26,1093.6,35.6,30.5,0.2928321678321678,0.03386774723549563
+NN_TORCH (default),27.39151145983965,0.20185868648382335,14.560395769408618,0.21573681790796437,0.9661328360928345,0.9393026943715941,0.0,0.21437115690743067,0.14784559127083513,188.3149665224302,10.435316060204023,32.44230769230769,0.183195,20.22722778055403,0.14770235617955524,10.376930987013111,0.18792402145583464,1.0,0.9983912483912485,0.0,0.14318031310217677,0.1051705699943664,197.09431521312473,8.356657050571908,33.0,0,0,0,26,1080.3,36.1,29.9,0.2854020979020979,0.034626544348254344
+FASTAI (default),10.397479128328143,0.6249765678348704,5.689409993948898,0.6426262937267089,0.9744092722583597,0.9403239500449883,0.0,0.2303447427008108,0.17838953052326556,79.38940070919118,32.314469844151965,33.61538461538461,0.19183499999999998,9.91800790362888,0.5629585729704962,4.729717448807326,0.6226443216085578,1.0,1.0,0.0,0.1608856096564119,0.11423976777713259,63.05950085745769,32.34956133934325,36.5,0,0,0,26,1052.0,33.4,30.1,0.25874125874125875,0.0323196444621068
+LR (tuned + ensemble),175.85719627702338,0.42670365847074065,115.79203038641191,0.374819481777715,0.9444487671643353,0.9380469060094936,0.0,0.2831741664343597,0.2482282180537343,1448.7019616321465,20.41052886468638,34.26923076923077,0.216585,158.39292872746785,0.19311302105585734,88.63237206036187,0.25697546561814155,1.0,1.0,0.0,0.2176901252380467,0.1779541590472698,1246.7830478036524,13.25530093456624,38.0,0,0,1,25,1030.4,38.3,39.3,0.24388111888111888,0.04361346363347015
+LR (tuned),175.85719627702338,0.1364539579448537,115.79203038641191,0.12123112010680681,0.9626814936017534,0.9438846899767829,0.0,0.29021553617359425,0.25773755527090664,1448.7019616321465,6.009867470278231,35.28846153846154,0.21681,158.39292872746785,0.07476819356282552,88.63237206036187,0.08838151119168902,1.0,1.0,0.0,0.22518752798442315,0.1834788893417763,1246.7830478036524,4.016028876859062,38.0,0,0,0,26,996.9,36.4,42.3,0.22071678321678323,0.035049521543351864
+RF (default),0.9640304686676744,0.07426402477117686,0.5084719578868067,0.0844146006139,0.9953262580340543,0.9705599547883514,0.0,0.2575551228066212,0.2479832196611893,6.6754175478812146,4.153857105918795,35.36538461538461,0.213105,0.8910642200046115,0.05825435982810126,0.447836563000179,0.06594795127086661,1.0,1.0,0.0,0.17586669886220047,0.11692775501298655,5.654732996519019,3.502947097147378,37.5,0,0,0,26,1000.0,0.0,0.0,0.21896853146853146,0.029791202526941722
+LR (default),4.707631549162742,0.1483236100938585,2.804518891637732,0.1437661673750307,0.9749537762080217,0.952284063110889,0.0,0.305476356016987,0.29332097164244453,36.73103788870433,7.308777223189359,35.75,0.22103499999999998,4.746849238872528,0.08430976470311483,2.2657084486770183,0.10642460584640503,1.0,1.0,0.0,0.22930816077470617,0.22370791852870522,31.50980214431158,4.703818974402271,39.5,0,0,1,25,982.4,41.3,38.8,0.21022727272727273,0.039833353869287484
+XT (default),0.8462119445841536,0.0803421718442542,0.47456795510527094,0.08795126020679146,0.9848550619375056,0.9640817361404062,0.0,0.27531426583624075,0.2767172685663852,6.0304600748852675,4.406716139948246,36.69230769230769,0.215405,0.7635703219307794,0.06673479080200195,0.40395335630596185,0.07007418015238884,1.0,1.0,0.0,0.18424442460299273,0.1562338348801046,5.148113375558061,3.7424721126192138,39.0,0,0,0,26,955.8,43.4,47.9,0.1888111888111888,0.030314566866112242
+KNN (tuned + ensemble),10.643233974469014,0.2739423143558013,4.426066058298347,0.19964653999651732,1.0,0.9945826759714126,0.11538461538461539,0.4799351328471401,0.5914832143485576,52.034665130956334,11.285407568076662,41.57692307692308,0.31118999999999997,5.881281822257572,0.1030390567249722,2.969713103492417,0.16730320161416595,1.0,1.0,0.0,0.4552261138058871,0.6183874930702317,55.06974575171796,8.266636963631449,43.0,0,0,0,26,706.1,49.1,47.3,0.0777972027972028,0.024279443329967162
+KNN (tuned),10.643233974469014,0.06075953357240074,4.426066058298347,0.04304950843110991,1.0,0.9965786300523389,0.11538461538461539,0.5010874219586886,0.6455640718520189,52.034665130956334,2.5027008595459077,42.69230769230769,0.31467999999999996,5.881281822257572,0.036990099483066134,2.969713103492417,0.039402452723266784,1.0,1.0,0.0,0.4955223463378593,0.67298570245769,55.06974575171796,2.091430487051362,44.0,0,0,0,26,610.7,51.4,48.7,0.05244755244755245,0.023502270498812147
+KNN (default),0.2899092884145231,0.0317453768518236,0.13426353967394633,0.031065835648244968,1.0,1.0,0.11538461538461539,0.592345422239955,0.9491257372621102,1.00065410372272,1.4527699655062962,44.25,0.34582,0.1258228341738383,0.02117468251122369,0.07457399441809831,0.021006283652748647,1.0,1.0,0.0,0.6201400123756287,1.0,1.0,1.0057335151210618,45.0,0,0,0,26,410.3,85.8,96.4,0.017045454545454544,0.022663376691509682
diff --git a/data/tabpfn-tabicl/time_plot.png.zip b/data/tabpfn-tabicl/time_plot.png.zip
new file mode 100644
index 0000000000000000000000000000000000000000..010a0841fc358a915dcebdf2b93f0f4dc78a9d42
--- /dev/null
+++ b/data/tabpfn-tabicl/time_plot.png.zip
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:834c659b5faaf40d8d129d7ffc0a56cf33fce9ffbe1a3b38249f8fe26624107f
+size 460639
diff --git a/data/tabpfn-tabicl/tuning-impact-elo-horizontal.png.zip b/data/tabpfn-tabicl/tuning-impact-elo-horizontal.png.zip
new file mode 100644
index 0000000000000000000000000000000000000000..14482d9847c985a985b26e3bb1702a8b9abf33bc
--- /dev/null
+++ b/data/tabpfn-tabicl/tuning-impact-elo-horizontal.png.zip
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c49fb6311df3b5d7ded2ac317e013b62ffc635702f0d8cdbe3d2f4be4fd8fbd8
+size 220407
diff --git a/data/tabpfn-tabicl/tuning-impact-elo.png.zip b/data/tabpfn-tabicl/tuning-impact-elo.png.zip
new file mode 100644
index 0000000000000000000000000000000000000000..6e52795441d97228536af5b768cc6a5b67339aa9
--- /dev/null
+++ b/data/tabpfn-tabicl/tuning-impact-elo.png.zip
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:de7c030facdf3a919abde7ab13728f193df948f2ac0c2928f77aa2f918f6f3b0
+size 194810
diff --git a/data_pdfs_to_pngs.py b/data_pdfs_to_pngs.py
index 6076b0b26ca88c2832d23390c0892d0de6acc143..4cf4463cdc67f8ac363fb5364a3f0f0f6b71ce07 100644
--- a/data_pdfs_to_pngs.py
+++ b/data_pdfs_to_pngs.py
@@ -2,59 +2,30 @@
 
 from __future__ import annotations
 
+import glob
+import os
 import zipfile
 from pathlib import Path
-from multiprocessing import Pool, cpu_count
 
 from pdf2image import convert_from_path
 
+root_dir = "./data"
+pdf_paths = glob.glob(os.path.join(root_dir, "**", "*.pdf"), recursive=True)
 
-ROOT_DIR = Path("./data")
-DPI = 800  # you can lower this if files are huge / too slow
-
-
-def process_pdf(pdf_path_str: str) -> None:
-    pdf_path = Path(pdf_path_str).resolve()
-    zip_path = pdf_path.with_suffix(".png.zip")
 
+for pdf_path in pdf_paths:
+    # Relative path to recreate folder structure
+    path_to_pdf = Path(pdf_path).resolve()
+    path_to_png = path_to_pdf.with_suffix(".png")
+    path_to_zip = path_to_pdf.with_suffix(".png.zip")
     print(f"Converting {pdf_path}...")
 
-    # Convert all pages of the PDF
-    images = convert_from_path(str(pdf_path), dpi=DPI)
-
-    # Save pages as PNGs (multi-page safe naming)
-    png_path = pdf_path.with_suffix(".png")
-    images[0].save(png_path, "PNG")
-    png_paths = [png_path]
-
-
-    # Zip all PNGs into one archive
-    with zipfile.ZipFile(zip_path, "w", compression=zipfile.ZIP_DEFLATED) as zipf:
-        for png_path in png_paths:
-            zipf.write(png_path, arcname=png_path.name)
-
-    # Clean up PNGs and original PDF
-    for png_path in png_paths:
-        png_path.unlink(missing_ok=True)
-    pdf_path.unlink(missing_ok=True)
-
-
-def main() -> None:
-    pdf_paths = [str(p) for p in ROOT_DIR.rglob("*.pdf")]
-
-    if not pdf_paths:
-        print("No PDFs found.")
-        return
-
-    # Use one process per CPU, but not more than number of PDFs
-    n_procs = min(cpu_count(), len(pdf_paths))
-    print(f"Found {len(pdf_paths)} PDFs. Using {n_procs} processes.")
-
-    with Pool(processes=n_procs) as pool:
-        # imap_unordered gives you streaming results + simple progress printing
-        for _ in pool.imap_unordered(process_pdf, pdf_paths):
-            pass
+    images = convert_from_path(pdf_path, dpi=800)
+    for _i, image in enumerate(images):
+        image.save(path_to_png, "PNG")
 
+        with zipfile.ZipFile(path_to_zip, "w") as zipf:
+            zipf.write(path_to_png, arcname=path_to_png.name)
 
-if __name__ == "__main__":
-    main()
\ No newline at end of file
+        path_to_png.unlink(missing_ok=True)
+        path_to_pdf.unlink(missing_ok=True)
diff --git a/main.py b/main.py
index 7ee1b36519d08e7fccc5b276e3ae8b6b2a91196f..5491e7c3fcc05d6e18ceedb1a45760ff8096d9b7 100644
--- a/main.py
+++ b/main.py
@@ -3,16 +3,12 @@ from __future__ import annotations
 import zipfile
 from dataclasses import dataclass
 from pathlib import Path
+
 import gradio as gr
 import pandas as pd
-import numpy as np
-from functools import partial
-from copy import deepcopy
 import website_texts
-import os
-import re
-from constants import model_type_emoji
 from apscheduler.schedulers.background import BackgroundScheduler
+from constants import Constants, model_type_emoji
 from gradio_leaderboard import ColumnFilter, Leaderboard, SelectColumns
 from website_texts import (
     ABOUT_TEXT,
@@ -24,80 +20,173 @@ from website_texts import (
 )
 
 
+def get_model_family(model_name: str) -> str:
+    prefixes_mapping = {
+        Constants.reference: ["AutoGluon"],
+        Constants.neural_network: ["REALMLP", "TabM", "FASTAI", "MNCA", "NN_TORCH"],
+        Constants.tree: ["GBM", "CAT", "EBM", "XGB", "XT", "RF"],
+        Constants.foundational: ["TABDPT", "TABICL", "TABPFN"],
+        Constants.baseline: ["KNN", "LR"],
+    }
+
+    for method_type, prefixes in prefixes_mapping.items():
+        for prefix in prefixes:
+            if prefix.lower() in model_name.lower():
+                return method_type
+    return Constants.other
+
+
+def rename_map(model_name: str) -> str:
+    rename_map = {
+        "TABM": "TabM",
+        "REALMLP": "RealMLP",
+        "GBM": "LightGBM",
+        "CAT": "CatBoost",
+        "XGB": "XGBoost",
+        "XT": "ExtraTrees",
+        "RF": "RandomForest",
+        "MNCA": "ModernNCA",
+        "NN_TORCH": "TorchMLP",
+        "FASTAI": "FastaiMLP",
+        "TABPFNV2": "TabPFNv2",
+        "EBM": "EBM",
+        "TABDPT": "TabDPT",
+        "TABICL": "TabICL",
+        "KNN": "KNN",
+        "LR": "Linear",
+    }
+
+    for prefix in rename_map:
+        if prefix in model_name:
+            return model_name.replace(prefix, rename_map[prefix])
+
+    return model_name
+
+
+def load_data(filename: str, data_source="data"):
+    df_leaderboard = pd.read_csv(Path(__file__).parent / data_source / filename)
+
+    # Add Model Family Information
+    df_leaderboard["Type"] = df_leaderboard.loc[:, "method"].apply(
+        lambda s: model_type_emoji[get_model_family(s)]
+    )
+    df_leaderboard["TypeName"] = df_leaderboard.loc[:, "method"].apply(
+        lambda s: get_model_family(s)
+    )
+    df_leaderboard["method"] = df_leaderboard["method"].apply(rename_map)
+
+    # elo,elo+,elo-,mrr
+    df_leaderboard["Elo 95% CI"] = (
+        "+"
+        + df_leaderboard["elo+"].round(0).astype(int).astype(str)
+        + "/-"
+        + df_leaderboard["elo-"].round(0).astype(int).astype(str)
+    )
+    # select only the columns we want to display
+    df_leaderboard["normalized-score"] = 1 - df_leaderboard["normalized-error"]
+    df_leaderboard["hmr"] = 1 / df_leaderboard["mrr"]
+    df_leaderboard["improvability"] = 100 * df_leaderboard["champ_delta"]
+
+    # Imputed logic
+    if "imputed" in df_leaderboard.columns:
+        df_leaderboard["imputed"] = (100 * df_leaderboard["imputed"]).round(2)
+        df_leaderboard["imputed_bool"] = False
+        # Filter methods that are fully imputed.
+        df_leaderboard = df_leaderboard[~(df_leaderboard["imputed"] == 100)]
+        # Add imputed column and add name postfix
+        imputed_mask = df_leaderboard["imputed"] != 0
+        df_leaderboard.loc[imputed_mask, "imputed_bool"] = True
+        df_leaderboard.loc[imputed_mask, "method"] = df_leaderboard.loc[
+            imputed_mask, ["method", "imputed"]
+        ].apply(lambda row: row["method"] + f" [{row['imputed']:.2f}% IMPUTED]", axis=1)
+    else:
+        df_leaderboard["imputed_bool"] = None
+        df_leaderboard["imputed"] = None
+
+    # Resolve GPU postfix
+    gpu_postfix = "_GPU"
+    df_leaderboard["Hardware"] = df_leaderboard["method"].apply(
+        lambda x: "CPU" if gpu_postfix not in x else "GPU"
+    )
+    df_leaderboard["method"] = df_leaderboard["method"].str.replace(gpu_postfix, "")
+
+    df_leaderboard = df_leaderboard.loc[
+        :,
+        [
+            "Type",
+            "TypeName",
+            "method",
+            "elo",
+            "Elo 95% CI",
+            "normalized-score",
+            "rank",
+            "hmr",
+            "improvability",
+            "median_time_train_s_per_1K",
+            "median_time_infer_s_per_1K",
+            "imputed",
+            "imputed_bool",
+            "Hardware",
+        ],
+    ]
+
+    # round for better display
+    df_leaderboard[["elo", "Elo 95% CI"]] = df_leaderboard[["elo", "Elo 95% CI"]].round(
+        0
+    )
+    df_leaderboard[["median_time_train_s_per_1K", "rank", "hmr"]] = df_leaderboard[
+        ["median_time_train_s_per_1K", "rank", "hmr"]
+    ].round(2)
+    df_leaderboard[
+        ["normalized-score", "median_time_infer_s_per_1K", "improvability"]
+    ] = df_leaderboard[
+        ["normalized-score", "median_time_infer_s_per_1K", "improvability"]
+    ].round(3)
+
+    df_leaderboard = df_leaderboard.sort_values(by="elo", ascending=False)
+    df_leaderboard = df_leaderboard.reset_index(drop=True)
+    df_leaderboard = df_leaderboard.reset_index(names="#")
+
+    # rename some columns
+    return df_leaderboard.rename(
+        columns={
+            "median_time_train_s_per_1K": "Median Train Time (s/1K) [⬇️]",
+            "median_time_infer_s_per_1K": "Median Predict Time (s/1K) [⬇️]",
+            "method": "Model",
+            "elo": "Elo [⬆️]",
+            "rank": "Rank [⬇️]",
+            "normalized-score": "Score [⬆️]",
+            "hmr": "Harmonic Rank [⬇️]",
+            "improvability": "Improvability (%) [⬇️]",
+            "imputed": "Imputed (%) [⬇️]",
+            "imputed_bool": "Imputed",
+        }
+    )
+
+
 @dataclass
 class LBContainer:
     name: str
-    base_path_to_results: str
-    blurb: str | None = None
-    n_datasets: int | None = None
+    file_name: str
+    blurb: str
+    overview_image_name: str | None
+    df_leaderboard: pd.DataFrame | None = None
 
     def __post_init__(self):
-        for fname in os.listdir(self._base_path):
-            match = re.match(r"n_datasets_(.+)", fname)
-            if match:
-                self.n_datasets = match.group(1)
-                break
-
-    @property
-    def _base_path(self):
-        return Path(__file__).parent / "data" / self.base_path_to_results
-
-    def load_df_leaderboard(self) -> pd.DataFrame:
-        df = pd.read_csv(self._base_path.resolve() / "website_leaderboard.csv")
-        df = df.rename(columns={"1#": "#"})
-        return df
-
-    def _handle_img_zip(self, img_name: str) -> str:
-        _base_path = self._base_path / img_name
-        zip_path = _base_path.with_suffix(".png.zip")
-        img_path = _base_path.with_suffix(".png")
-        if img_path.exists():
-            return str(img_path)
-        with zipfile.ZipFile(zip_path, "r") as zipf:
-            zipf.extractall(img_path.parent)
-        return str(img_path)
-
-    def get_path_to_tuning_impact_elo(self) -> str:
-        return self._handle_img_zip("tuning-impact-elo")
-
-    def get_path_to_pareto_front_improvability_vs_time_infer(self) -> str:
-        return self._handle_img_zip("pareto_front_improvability_vs_time_infer")
-
-    def get_path_to_pareto_n_configs_imp(self) -> str:
-        return self._handle_img_zip("pareto_n_configs_imp")
-
-    def get_path_to_winrate_matrix(self) -> str:
-        return self._handle_img_zip("winrate_matrix")
-
-
-def make_overview_images(lb: LBContainer, subset_name):
-    # Main Figure
+        self.df_leaderboard = load_data(self.file_name)
+
+
+def make_overview_image(
+    overview_image_name: str | None, data_source: str = "data"
+) -> None:
+    path_to_image = Path(__file__).parent / data_source / overview_image_name
+    path_to_image_zip = path_to_image.with_suffix(".png.zip")
+    with zipfile.ZipFile(path_to_image_zip, "r") as zipf:
+        zipf.extractall(path_to_image.parent)
     gr.Image(
-        lb.get_path_to_tuning_impact_elo(),
-        label=f"Leaderboard Overview [{subset_name}]",
-        show_label=True,
-        height=500,
-        show_share_button=True,
+        str(path_to_image), label="Leaderboard Overview", show_label=True, height=550
     )
 
-    with gr.Row():
-        with gr.Column(scale=1):
-            gr.Image(
-                value=lb.get_path_to_pareto_front_improvability_vs_time_infer(),
-                label=f"Inference Time Pareto Front [{subset_name}]",
-                height=400,
-                show_label=True,
-                show_share_button=True,
-            )
-        with gr.Column(scale=1):
-            gr.Image(
-                value=lb.get_path_to_pareto_n_configs_imp(),
-                label=f"Tuning Trajectories [{subset_name}]",
-                height=400,
-                show_label=True,
-                show_share_button=True,
-            )
-
 
 def make_overview_leaderboard(lbs: [LBContainer]):
     # Create column per LB
@@ -118,6 +207,16 @@ def make_overview_leaderboard(lbs: [LBContainer]):
         df[lb.name] = df["Elo [⬆️]"].rank(ascending=False, method="first").astype(int)
         df = df.sort_values(by=lb.name, ascending=True)
 
+        # Adding indicators does not work as it makes it a string and then not sort
+        #   correctly.
+        # df[lb.name] = df[lb.name].astype(str)
+        # df[lb.name] = df[lb.name].replace({
+        #     "1": "🥇 1",
+        #     "2": "🥈 2",
+        #     "3": "🥉 3",
+        #     }
+        # )
+
         df = df[["Type", "Model", lb.name]]
         # Remove imputed message.
         df["Model"] = (
@@ -166,40 +265,24 @@ def make_overview_leaderboard(lbs: [LBContainer]):
     )
 
 
-def make_leaderboard(lb: LBContainer) -> Leaderboard:
-    df_leaderboard = lb.load_df_leaderboard()
-
+def make_leaderboard(df_leaderboard: pd.DataFrame) -> Leaderboard:
     # -- Add filters
     df_leaderboard["TypeFiler"] = df_leaderboard["TypeName"].apply(
         lambda m: f"{m} {model_type_emoji[m]}"
     )
-    df_leaderboard["Only Default"] = df_leaderboard["Model"].str.contains(
-        "(default)", regex=False
-    )
-    df_leaderboard["Only Tuned"] = df_leaderboard["Model"].str.contains(
-        "(tuned)", regex=False
-    )
-    df_leaderboard["Only Tuned + Ensembled"] = df_leaderboard["Model"].str.contains(
-        r"(tuned + ensembled)", regex=False
-    ) | df_leaderboard["Model"].str.contains(r"AutoGluon", regex=False)
+    df_leaderboard["Only Default"] = df_leaderboard["Model"].str.endswith("(default)")
+    df_leaderboard["Only Tuned"] = df_leaderboard["Model"].str.endswith("(tuned)")
+    df_leaderboard["Only Tuned + Ensemble"] = df_leaderboard["Model"].str.endswith(
+        "(tuned + ensemble)"
+    ) | df_leaderboard["Model"].str.endswith("(4h)")
 
     filter_columns = [
         ColumnFilter("TypeFiler", type="checkboxgroup", label="🤖 Model Types"),
         ColumnFilter("Only Default", type="boolean", default=False),
         ColumnFilter("Only Tuned", type="boolean", default=False),
-        ColumnFilter("Only Tuned + Ensembled", type="boolean", default=False),
+        ColumnFilter("Only Tuned + Ensemble", type="boolean", default=False),
     ]
 
-    datatypes = []
-    for s in df_leaderboard.T.values:
-        dt = s.dtype
-        if dt == bool:
-            datatypes.append("bool")
-        elif np.issubdtype(dt, np.number):
-            datatypes.append("number")
-        else:
-            datatypes.append("markdown")
-
     # Add Imputed count postfix
     if any(df_leaderboard["Imputed"]):
         df_leaderboard["Imputed"] = df_leaderboard["Imputed"].replace(
@@ -208,15 +291,14 @@ def make_leaderboard(lb: LBContainer) -> Leaderboard:
                 False: "Not Imputed",
             }
         )
-        datatypes.append("bool")
         filter_columns.append(
             ColumnFilter(
                 "Imputed",
                 type="checkboxgroup",
                 label="(Not) Imputed Models",
                 info="We impute the performance for models that cannot run on all"
-                " datasets due to task or dataset size constraints. We impute with"
-                " the performance of a default RandomForest."
+                " datasets due to task or dataset size constraints (e.g. TabPFN,"
+                " TabICL). We impute with the performance of a default RandomForest."
                 " We add a postfix [X% IMPUTED] to the model if any results were"
                 " imputed. The X% shows the percentage of"
                 " datasets that were imputed. In general, imputation negatively"
@@ -224,14 +306,9 @@ def make_leaderboard(lb: LBContainer) -> Leaderboard:
                 " being able to run on all datasets.",
             )
         )
-    else:
-        df_leaderboard = df_leaderboard.drop(columns=["Imputed (%) [⬇️]"])
 
     return Leaderboard(
-        # label=f"Full Leaderboard [{lb.name}]",
-        elem_id=f"lb_for_{lb.name}",
         value=df_leaderboard,
-        datatype=datatypes,
         select_columns=SelectColumns(
             default_selection=list(df_leaderboard.columns),
             cant_deselect=["Type", "Model"],
@@ -243,7 +320,7 @@ def make_leaderboard(lb: LBContainer) -> Leaderboard:
             "RefModel",
             "Only Default",
             "Only Tuned",
-            "Only Tuned + Ensembled",
+            "Only Tuned + Ensemble",
             "Imputed",
         ],
         search_columns=["Model", "TypeName"],
@@ -253,137 +330,52 @@ def make_leaderboard(lb: LBContainer) -> Leaderboard:
     )
 
 
-@dataclass
-class LBMatrixElement:
-    imputation: str
-    splits: str
-    tasks: str
-    datasets: str
-
-    def get_path_to_results(self) -> str:
-        return (
-            f"imputation_{self.imputation}/"
-            f"splits_{self.splits}/"
-            f"tasks_{self.tasks}/"
-            f"datasets_{self.datasets}/"
-        )
-
-
-@dataclass
-class LBMatrix:
-    imputation = ["no", "yes"]
-    splits = ["all", "lite"]
-    tasks = ["all", "classification", "regression"]
-    datasets = ["all", "small", "medium", "tabpfn"]
-
-    @staticmethod
-    def get_name_for_lb(lb_key, lb_value):
-        if lb_key == "imputation":
-            return (
-                "Models (w/o imputation)"
-                if lb_value == "no"
-                else "🔹 Models (with imputation)"
-            )
-        if lb_key == "splits":
-            return "All Repeats" if lb_value == "all" else "Lite"
-        if lb_key == "tasks":
-            match lb_value:
-                case "all":
-                    return "All Tasks"
-                case "classification":
-                    return "Classification"
-                case "regression":
-                    return "Regression"
-                case _:
-                    raise ValueError()
-        if lb_key == "datasets":
-            match lb_value:
-                case "all":
-                    return "All Datasets"
-                case "small":
-                    return "Small"
-                case "medium":
-                    return "Medium"
-                case "tabpfn":
-                    return "🔸 TabPFNv2-data"
-                case _:
-                    raise ValueError()
-        raise ValueError()
-
-    def element_to_blurb(self, element: LBMatrixElement, n_datasets: int) -> str:
-        datasets_name = (
-            element.datasets if element.datasets != "tabpfn" else "TabPFNv2-compatible"
-        )
-        blurb = f"Leaderboard for {n_datasets} datasets ({datasets_name} datasets, {element.tasks} tasks) "
-
-        if element.splits == "lite":
-            blurb += "for one split (1st fold, 1st repeat) "
-
-        blurb += "including all "
-        if element.imputation == "yes":
-            blurb += "(imputed) "
-        blurb += f"models."
-
-        if datasets_name == "small":
-            blurb += "<br>Small datasets contain between 500 and 10,000 samples."
-        elif datasets_name == "medium":
-            blurb += "<br>Medium datasets contain between 10,000 and 250,000 samples."
-        elif datasets_name == "TabPFNv2-compatible":
-            blurb += "<br>TabPFNv2-compatible datasets contain at most 10,000 samples, 500 features, and 10 classes."
-
-        return blurb
-
-
-def render_details(imputation, splits, tasks, datasets, lb_matrix):
-    """
-    Renders the heavy content (images, dataframes).
-    """
-    impute_t_name = lb_matrix.get_name_for_lb("imputation", imputation)
-    splits_t = lb_matrix.get_name_for_lb("splits", splits)
-    tasks_t_name = lb_matrix.get_name_for_lb("tasks", tasks)
-    datasets_t_name = lb_matrix.get_name_for_lb("datasets", datasets)
-
-    lb_element = LBMatrixElement(
-        imputation=imputation,
-        splits=splits,
-        tasks=tasks,
-        datasets=datasets,
+def _get_lbs() -> tuple[LBContainer, ...]:
+    ta = LBContainer(
+        name="🏅 Main",
+        file_name="full-imputed/tabarena_leaderboard.csv",
+        overview_image_name="full-imputed/tuning-impact-elo.png",
+        blurb="Leaderboard for all datasets including all (imputed) models.",
     )
-    lb = LBContainer(
-        name=f"{impute_t_name} | {splits_t} | {tasks_t_name} | {datasets_t_name}",
-        base_path_to_results=lb_element.get_path_to_results(),
+    ta_lite = LBContainer(
+        name="Lite",
+        file_name="lite/full-imputed/tabarena_leaderboard.csv",
+        overview_image_name="lite/full-imputed/tuning-impact-elo.png",
+        blurb="Leaderboard for one split (1st fold, 1st repeat) for all datasets including all (imputed) models.",
     )
-
-    lb.blurb = lb_matrix.element_to_blurb(
-        lb_element,
-        n_datasets=lb.n_datasets,
+    ta_clf = LBContainer(
+        name="Classification",
+        file_name="full-imputed-cls/tabarena_leaderboard.csv",
+        overview_image_name="full-imputed-cls/tuning-impact-elo.png",
+        blurb="Leaderboard for all 38 classification datasets including all (imputed) models.",
     )
-
-    gr.Markdown(
-        lb.blurb,
-        elem_classes="markdown-text",
+    ta_reg = LBContainer(
+        name="Regression",
+        file_name="full-imputed-reg/tabarena_leaderboard.csv",
+        # FIXME: get overview image without TabICL
+        overview_image_name="full-imputed-reg/tuning-impact-elo.png",
+        blurb="Leaderboard for all 13 regression datasets including all (imputed) models.",
     )
-    make_overview_images(lb, subset_name=lb.name)
-
-    # Render Leaderboard safely
-    with gr.Group():
-        gr.Markdown(
-            "## ⭐ Full Leaderboard Table",
-            elem_classes="markdown-text",
-        )
-        make_leaderboard(lb)
-
-    gr.Image(
-        lb.get_path_to_winrate_matrix(),
-        label=f"Winmatrix Overview [{lb.name}]",
-        show_label=True,
-        height=800,
-        show_share_button=True,
+    ta_tabicl = LBContainer(
+        name="⚡ TabICL-data",
+        file_name="tabicl-imputed/tabarena_leaderboard.csv",
+        overview_image_name="tabicl-imputed/tuning-impact-elo.png",
+        blurb="Leaderboard for all 36 datasets within the constraints of TabICL including all (imputed) models.",
+    )
+    ta_tabpfn = LBContainer(
+        name="⚡ TabPFN-data",
+        file_name="tabpfn-imputed/tabarena_leaderboard.csv",
+        overview_image_name="tabpfn-imputed/tuning-impact-elo.png",
+        blurb="Leaderboard for all 33 datasets within the constraints of TabPFN including all (imputed) models.",
+    )
+    ta_tabpfn_tabicl = LBContainer(
+        name="TabPFN/ICL-data",
+        file_name="tabpfn-tabicl/tabarena_leaderboard.csv",
+        overview_image_name="tabpfn-tabicl/tuning-impact-elo.png",
+        blurb="Leaderboard for all 26 datasets within the constraints of TabPFN and TabICL including all models.",
     )
 
-
-def render_func(evt: gr.SelectData):
-    print(f"Tab Selected: {evt.value} (Type: {evt.index})")
+    return ta, ta_lite, ta_clf, ta_reg, ta_tabicl, ta_tabpfn, ta_tabpfn_tabicl
 
 
 def main():
@@ -391,11 +383,6 @@ def main():
     .markdown-text-box {
         padding: 4px;
         border-radius: 2px;
-    }    
-    
-    .tab-buttons {
-    margin-top: -14px !important; 
-    margin-bottom: -14px !important;
     }
     """
     js_func = """
@@ -408,7 +395,8 @@ def main():
         }
     }
     """
-    with gr.Blocks(css=css, js=js_func, title="TabArena") as website:
+    demo = gr.Blocks(css=css, js=js_func, title="TabArena")
+    with demo:
         gr.HTML(TITLE)
 
         # -- Introduction
@@ -424,15 +412,15 @@ def main():
                     website_texts.OVERVIEW_MODELS, elem_classes="markdown-text-box"
                 )
         with gr.Row():
-            with gr.Column(), gr.Accordion("📈 Metrics, Imputation, Repeats", open=False):
+            with gr.Column(), gr.Accordion("📈 Metrics", open=False):
                 gr.Markdown(
                     website_texts.OVERVIEW_METRICS, elem_classes="markdown-text-box"
                 )
-            with gr.Column(), gr.Accordion("📊 Reference Pipelines", open=False):
+            with gr.Column(), gr.Accordion("📊 Reference Pipeline", open=False):
                 gr.Markdown(
                     website_texts.OVERVIEW_REF_PIPE, elem_classes="markdown-text-box"
                 )
-        with gr.Row(), gr.Accordion("📝 About", open=False):
+        with gr.Row(), gr.Accordion("📝 More Details", open=False):
             gr.Markdown(ABOUT_TEXT, elem_classes="markdown-text-box")
         with gr.Row(), gr.Accordion("📙 Citation", open=False):
             gr.Textbox(
@@ -443,69 +431,70 @@ def main():
                 show_copy_button=True,
             )
 
+        # -- Get all LBs we need:
+        ta, ta_lite, ta_clf, ta_reg, ta_tabicl, ta_tabpfn, ta_tabpfn_tabicl = _get_lbs()
+
+        # -- LB Overview
+        gr.Markdown("## 🗺️ TabArena Overview")
+        ordered_lbs = [
+            ta,
+            ta_clf,
+            ta_reg,
+            ta_tabicl,
+            ta_tabpfn,
+            ta_tabpfn_tabicl,
+            ta_lite,
+        ]
+        make_overview_leaderboard(lbs=ordered_lbs)
+
         gr.Markdown("## 🏆 TabArena Leaderboards")
-        gr.Markdown("Change the filters below to compare models with our without imputation across repeats, tasks, and dataset subsets.")
-        gr.Markdown("")
-        lb_matrix = LBMatrix()
-
-        impute_state = gr.State(lb_matrix.imputation[0])
-        splits_state = gr.State(lb_matrix.splits[0])
-        tasks_state = gr.State(lb_matrix.tasks[0])
-        datasets_state = gr.State(lb_matrix.datasets[0])
-
-        # Impute
-        with gr.Tabs(elem_classes="tab-buttons") as impute_tabs:
-            for impute_t in lb_matrix.imputation:
-                with gr.TabItem(
-                    lb_matrix.get_name_for_lb("imputation", impute_t),
-                    id=impute_t,
-                ) as t_impute:
-                    t_impute.select(lambda x=impute_t: x, outputs=impute_state)
-        # Splits
-        with gr.Tabs(elem_classes="tab-buttons") as split_tabs:
-            for splits_t in lb_matrix.splits:
-                with gr.TabItem(
-                    lb_matrix.get_name_for_lb("splits", splits_t),
-                    id=f"{impute_t}_{splits_t}",
-                ) as t_splits:
-                    t_splits.select(lambda x=splits_t: x, outputs=splits_state)
-        # Tasks
-        with gr.Tabs(elem_classes="tab-buttons") as task_tabs:
-            for tasks_t in lb_matrix.tasks:
-                with gr.TabItem(
-                    lb_matrix.get_name_for_lb("tasks", tasks_t),
-                    id=f"{impute_t}_{splits_t}_{tasks_t}",
-                ) as t_tasks:
-                    t_tasks.select(lambda x=tasks_t: x, outputs=tasks_state)
-        # Datasets
-        with gr.Tabs(elem_classes="tab-buttons") as dataset_tabs:
-            for datasets_t in lb_matrix.datasets:
-                with gr.TabItem(
-                    lb_matrix.get_name_for_lb("datasets", datasets_t),
-                    id=f"{impute_t}_{splits_t}_{tasks_t}_{datasets_t}",
-                ) as t_dataset:
-                    t_dataset.select(
-                        lambda x=datasets_t: x,
-                        outputs=datasets_state,
-                    )
-
-        with gr.Column():
-
-            @gr.render(inputs=[impute_state, splits_state, tasks_state, datasets_state])
-            def reactive_render(sel_i, sel_s, sel_t, sel_d):
-                render_details(
-                    imputation=sel_i,
-                    splits=sel_s,
-                    tasks=sel_t,
-                    datasets=sel_d,
-                    lb_matrix=lb_matrix,
-                )
+        with gr.Tabs(elem_classes="tab-buttons"):
+            for lb_id, lb in enumerate(ordered_lbs):
+                with gr.TabItem(lb.name, elem_id="llm-benchmark-tab-table", id=lb_id):
+                    gr.Markdown(lb.blurb, elem_classes="markdown-text")
+                    make_overview_image(lb.overview_image_name)
+                    make_leaderboard(lb.df_leaderboard)
 
         with gr.Row(), gr.Accordion("📂 Version History", open=False):
             gr.Markdown(VERSION_HISTORY_BUTTON_TEXT, elem_classes="markdown-text")
 
-    website.launch(show_error=True, ssr_mode=False, debug=True)
+            gr.Markdown("## Old Leaderboards")
+            with (
+                gr.Tabs(elem_classes="tab-buttons"),
+                gr.TabItem("TabArena-v0.1", elem_id="llm-benchmark-tab-table", id=2),
+            ):
+                df_leaderboard = load_data(
+                    "tabarena_leaderboard.csv.zip", data_source="old_data/v0_1_0"
+                )
+                df_leaderboard["Imputed"] = False
+                imputed_map = {
+                    "TabPFNv2": 35.29,
+                    "TabICL": 29.41,
+                }
+                for model_name, imputed_percentage in imputed_map.items():
+                    if imputed_percentage == 100:
+                        # Filter methods that are fully imputed.
+                        df_leaderboard = df_leaderboard[
+                            ~df_leaderboard["Model"].str.startswith(model_name)
+                        ]
+                    else:
+                        mask = df_leaderboard["Model"].str.startswith(model_name)
+                        df_leaderboard.loc[mask, "Model"] = (
+                            df_leaderboard.loc[mask, "Model"]
+                            + f" [{imputed_percentage:.2f}% IMPUTED]"
+                        )
+                        df_leaderboard.loc[mask, "Imputed"] = True
+                # Post fix logic is incorrect, thus we overwrite it here.
+                # See paper for details.
+                df_leaderboard["Hardware"] = None
+                make_leaderboard(df_leaderboard)
+
+    scheduler = BackgroundScheduler()
+    # scheduler.add_job(restart_space, "interval", seconds=1800)
+    scheduler.start()
+    demo.queue(default_concurrency_limit=40).launch()
+    demo.launch()
 
 
 if __name__ == "__main__":
-    main()
\ No newline at end of file
+    main()
diff --git a/old_data/v0_1_0/tabarena_leaderboard.csv.zip b/old_data/v0_1_0/tabarena_leaderboard.csv.zip
new file mode 100644
index 0000000000000000000000000000000000000000..4676feddcece76e39fce98c1b70a7eb3dce50215
--- /dev/null
+++ b/old_data/v0_1_0/tabarena_leaderboard.csv.zip
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7b23c724927320a54d5e4edcf1b2d938bc818c1dfd5461f1a8d204bb0b44d095
+size 10582
diff --git a/pyproject.toml b/pyproject.toml
index 77e9a4d4c9f143744f747e3cd1844037039ba084..65ec0b9b5e1d67b1a93bb0fae705dadfa9add0e0 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,14 +1,14 @@
 [project]
 name = "tabarenaleaderboard"
 version = "0.1.1"
-description = "Code that renders the TabArena leaderboard"
+description = "Add your description here"
 readme = "README.md"
 requires-python = ">=3.12"
 dependencies = [
     "apscheduler>=3.11.0",
     "gradio-client>=1.3.0",
     "gradio-leaderboard==0.0.13",
-    "gradio[oauth]==5.49.1",
+    "gradio[oauth]==5.33.2",
     "pandas>=2.2.3",
 ]
 [project.optional-dependencies]
diff --git a/website_texts.py b/website_texts.py
index e7ae2050355c21f4e2335eff1b08ffc150c8357c..aa3f2204badaaa1af87e886362864fa3e70bf4b7 100644
--- a/website_texts.py
+++ b/website_texts.py
@@ -5,9 +5,6 @@ INTRODUCTION_TEXT = """
 TabArena is a living benchmark system for predictive machine learning on tabular data.
 The goal of TabArena and its leaderboard is to assess the peak performance of
 model-specific pipelines.
-
-Expand the boxes below to learn more about the datasets, models, metrics, and reference pieplines.
-You can find more details and links to additional resources in the `About` section below.
 """
 
 OVERVIEW_DATASETS = """
@@ -15,51 +12,38 @@ The leaderboard is based on a manually curated collection of
 51 tabular classification and regression datasets for independent and identically distributed
 (IID) data, spanning the small to medium data regime. The datasets were carefully
 curated to represent various real-world predictive machine learning use cases.
-
-**Subsets:** We present results for various subsets of the datasets based on tasks and dataset size. Select your
-subset of interest from the tabs above the leaderboard.
 """
 OVERVIEW_MODELS = """
 The focus of the leaderboard is on model-specific pipelines. Each pipeline
 is evaluated with default and tuned hyperparameter configuration or as an ensemble of
 tuned configurations. Each model is implemented in a tested real-world pipeline that was
 optimized to get the most out of the model by the maintainers of TabArena, and where
-possible together with the authors of the model. 
-
-**Verified Models:** Some models were contributed and evaluated, but their implementations have
-not been verified by the original authors or maintainers of the model. We indicate whether the implementation
-of a model is verified in an extra column in the leaderboard. Results for unverified and recent models should 
-be interpreted with more caution. We count an older, stable model (such as XGBoost, LightGBM, 
-CatBoost, Random Forests, or baselines) as verified as long as the its implementation is verified by the
-the maintainers of TabArena. 
+possible together with the authors of the model.
 """
 OVERVIEW_METRICS = """
 The leaderboards are ranked based on Elo. We present several additional
-metrics. See `About` for more information on the metrics.
-
-**Imputation:** We also present results with imputation. The `Imputed` tab presents all results where we impute the 
-performance for models that cannot run on all datasets due to task or dataset size constraints. In general, imputation 
-negatively represents the model performance, punishing the model for not being able to run on all datasets. 
+metrics. See `More Details` for more information on the metrics.
 
-**Repeats:** We also present results for TabArena-Lite, where we only repeat the experiments once instead of multiple
-times per dataset. By selecting the `Lite` tab, you can see results for TabArena-Lite. Results for TabArena-Lite are 
-less reliable than for `All Repeats` but often present a good proxy for the overall performance while being much
-cheaper to compute.
+**Note, we impute** the performance for models that cannot run on all datasets due to
+task or dataset size constraints (e.g. TabPFN, TabICL). In general, imputation
+negatively represents the model performance, punishing the model for not being able
+to run on all datasets. We provide leaderboards computed only on the subset of datasets
+where TabPFN, TabICL, or both can run. We denote these leaderboards by `X-data`.
 """
 OVERVIEW_REF_PIPE = """
-The leaderboard includes reference pipelines, which are applied
+The leaderboard includes a reference pipeline, which is applied
 independently of the tuning protocol and constraints we constructed for models within TabArena.
-A reference pipeline aims to represent the performance quickly achievable by a
+The reference pipeline aims to represent the performance quickly achievable by a
 practitioner on a dataset. The current reference pipeline is the predictive machine
-learning system AutoGluon. AutoGluon represents an ensemble pipeline across various model
+learning system AutoGluon (version 1.3, with the best_quality preset and
+4 hours for training). AutoGluon represents an ensemble pipeline across various model
 types and thus provides a reference for model-specific pipelines.
 """
 
 ABOUT_TEXT = r"""
 ### Extended Overview of TabArena (References / Papers)
-We introduce TabArena and provide an overview of TabArena-v0.1.1 in our paper: https://tabarena.ai/paper-tabular-ml-iid-study.
-
-Moreover, you can find a presentation of TabArena-v0.1.1 here: https://www.youtube.com/watch?v=mcPRMcJHW2Y 
+We introduce TabArena and provide an overview of TabArena-v0.1 in our paper: https://tabarena.ai/paper-tabular-ml-iid-study.
+Moreover, you can find a presentation of TabArena here: https://www.youtube.com/watch?v=mcPRMcJHW2Y 
 
 ### Using TabArena for Benchmarking
 To compare your own methods to the pre-computed results for all models on the leaderboard,
@@ -81,20 +65,14 @@ The leaderboard is ranked by Elo and includes several other metrics. Here is a s
 description for these metrics:
 
 #### Elo
-We evaluate models using the Elo rating system. Elo is a
+We evaluate models using the Elo rating system, following Chatbot Arena. Elo is a
 pairwise comparison-based rating system where each model's rating predicts its expected
 win probability against others, with a 400-point Elo gap corresponding to a 10 to 1
 (91\%) expected win rate. We calibrate 1000 Elo to the performance of our default
-random forest configuration across all figures, and perform bootstrapping
+random forest configuration across all figures, and perform 100 rounds of bootstrapping
 to obtain 95\% confidence intervals. Elo scores are computed using ROC AUC for binary
 classification, log-loss for multiclass classification, and RMSE for regression.
 
-#### Improvability
-We introduce improvability as a metric that measures how many percent lower the error
-of the best method is than the current method on a dataset. This is then averaged over
-datasets. Formally, for a single dataset improvability is (err_i - besterr_i)/err_i * 100\%.
-Improvability is always between 0\% and 100\%.
-
 #### Score
 Following TabRepo, we compute a normalized score to provide an additional relative 
 comparison. We linearly rescale the error such that the best method has a normalized 
@@ -111,6 +89,12 @@ low ranks on some datasets. It therefore favors methods that are sometimes very
 and sometimes very bad over methods that are  always mediocre, as the former are more 
 likely to be useful in conjunction with other methods.
 
+#### Improvability
+We introduce improvability as a metric that measures how many percent lower the error
+of the best method is than the current method on a dataset. This is then averaged over
+datasets. Formally, for a single dataset improvability is (err_i - besterr_i)/err_i * 100\%.
+Improvability is always between 0\% and 100\%.
+
 ---
 
 ### Contact
@@ -131,36 +115,21 @@ The current core maintainers of TabArena are:
 CITATION_BUTTON_LABEL = (
     "If you use TabArena or the leaderboard in your research please cite the following:"
 )
-CITATION_BUTTON_TEXT = r"""@inproceedings{erickson2025tabarena,
-  title     = {TabArena: A Living Benchmark for Machine Learning on Tabular Data},
-  author    = {Erickson, Nick and Purucker, Lennart and Tschalzev, Andrej and Holzm{\"u}ller, David and Desai, Prateek Mutalik and Salinas, David and Hutter, Frank},
-  booktitle = {Proceedings of the 39th Conference on Neural Information Processing Systems (NeurIPS)},
-  year      = {2025},
-  url       = {https://arxiv.org/abs/2506.16791}
+CITATION_BUTTON_TEXT = r"""@article{erickson2025tabarena,
+  title={TabArena: A Living Benchmark for Machine Learning on Tabular Data}, 
+  author={Nick Erickson and Lennart Purucker and Andrej Tschalzev and David Holzmüller and Prateek Mutalik Desai and David Salinas and Frank Hutter},
+  year={2025},
+  journal={arXiv preprint arXiv:2506.16791},
+  url={https://arxiv.org/abs/2506.16791}, 
 }
 """
 
 VERSION_HISTORY_BUTTON_TEXT = """
-**Current Version: TabArena-v0.1.2.1**
+**Current Version: TabArena-v0.1.1**
 
 The following details updates to the leaderboard (date format is YYYY/MM/DD):
 
-* 2025/12/11-v0.1.2.2: 
-    * Add new unverified model: SAP-RPT-OSS (a.k.a.: ConTexTab, sap-rpt-1-oss)
-* 2025/11/27-v0.1.2.1: 
-    * Make tuning trajectories start from the default configuration.
-    * UI improvements and more user-friendly explanations.
-* 2025/11/22-v0.1.2: Add newest version of TabArena LB for NeurIPS 2025
-    * New UI and new leaderboard subsets for different dataset sizes, tasks, and imputation + general polish. 
-    * Some metrics have been refactored and made more stable (see GitHub for details).
-    * Updated Reference Pipeline to include AutoGluon v1.4 with the extreme preset.
-    * Updated existing models: RealMLP, TabDPT, EBM
-    * Add new verified models: Mitra, xRFM, RealTabPFN-v2.5
-    * Add new unverified models: TabFlex, BetaTabPFN, LimiX
-* 2025/06/13-v0.1.1: Add data for all subsets and re-runs on GPU; Add leaderboards for subsets;
+* 2025/06/13: Add data for all subsets and re-runs on GPU; Add leaderboards for subsets;
  new overview; add Figures to LBs.
-* 2025/05-v0.1.0: Initialization of the TabArena-v0.1 leaderboard.
-
-Old Leaderboards (with major changes) can be found at:
-* Tabarena-v0.1 and TabArena-v0.1.1: https://huggingface.co/spaces/TabArena-Legacy/TabArena-v0.1.1
+* 2025/05: Initialization of the TabArena-v0.1 leaderboard.
 """