New LB

.gitignore

@@ -8,5 +8,3 @@ wheels/
 
 # Virtual environments
 .venv
-
-*.png

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
@@ -18,19 +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
-```
-
-# Current Steps to get results:
-1. Run https://github.com/autogluon/tabarena/blob/main/examples/plots/run_generate_website_artifacts.py
-2. Delete the current `data` folder contents in this repo to remove old results.
-3. Unzip the generated `clean_website_artifacts.zip` zip file into the `data` folder in this repo.
-4. Test the LB locally, otherwise you are done :)
+```

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}

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
+TABM_GPU (default),150.0762373017289,1.2507152029645372,19.886819500646006,0.46487430096802723,0.7200913651969231,0.7318128476710409,0.0,0.1257035538283091,0.09205633408961793,189.61145131944258,14.042337078320946,18.32894736842105,0.17246,31.126562476158142,0.20260944763819377,10.213381764059356,0.1381032773929915,0.8315398727681542,0.7950654471852272,0.0,0.06154427249600947,0.03281090889681732,144.96049255349743,10.968725907290855,18.0,0,0,1,37,1375.0,29.4,25.1,0.6061602870813397,0.08448030842994195
+TABPFNV2_GPU (default),11.400364582092442,0.8958970822786029,4.227300497658887,0.4575723059305235,0.646401200043383,0.6913643236884485,0.3157894736842105,0.13032850434642715,0.10434014574898658,53.73712299744585,29.471362460513575,18.842105263157894,0.1886,7.994279013739691,0.2908047080039978,3.368600991426515,0.3152861168047789,0.777395370386663,0.7325492470622512,0.0,0.07929605277196083,0.04313507441518306,41.34560285308973,17.75894630310718,17.0,4,1,4,29,1366.1,24.9,30.7,0.5944976076555024,0.21051957029694982
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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}

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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data/{imputation_no/splits_all/tasks_multiclass/datasets_medium/tuning-impact-elo.png.zip → full-imputed-reg/time_plot.png.zip}

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:874b06d616abb9e43bdc28c3fe033211e60afb0c0daef77b4eafc4bbdef883d5
-size 94426
+oid sha256:da71d8796986e598f595ef583a35349dd78b721b6d2ad86658f6df61f9e4e254
+size 84316

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}

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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data/imputation_no/splits_all/tasks_all/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 1.5 (extreme, 4h)](https://arxiv.org/abs/2003.06505)",1700.0,+89/-74,0.795,7.04,2.85,4.972,289.07,4.031,✔️,0.0,False,GPU
-1,🧠⚡,Foundation Model,[TabPFN-2.6 (default)](https://arxiv.org/abs/2511.08667),1626.0,+82/-53,0.707,9.48,4.68,8.033,5.48,0.555,✔️,0.0,False,GPU
-2,🧠⚡,Foundation Model,[RealTabPFN-2.5 (tuned + ensembled)](https://arxiv.org/abs/2511.08667),1604.0,+82/-62,0.67,10.34,3.95,7.666,2040.22,8.92,✔️,0.0,False,GPU
-3,🧠⚡,Foundation Model,[TabICLv2 (default)](https://arxiv.org/abs/2602.11139),1598.0,+80/-66,0.718,10.55,3.03,6.995,4.02,0.381,✔️,0.0,False,GPU
-4,🧠⚡,Foundation Model,[RealTabPFN-2.5 (tuned)](https://arxiv.org/abs/2511.08667),1559.0,+71/-55,0.617,12.21,5.16,8.438,2040.22,1.218,✔️,0.0,False,GPU
-5,🧠⚡,Foundation Model,[RealTabPFN-2.5 (default)](https://arxiv.org/abs/2511.08667),1528.0,+67/-48,0.582,13.65,6.9,8.957,5.81,0.645,✔️,0.0,False,GPU
-6,📊,Reference Pipeline,"[AutoGluon 1.4 (best, 4h)](https://arxiv.org/abs/2003.06505)",1516.0,+60/-46,0.502,14.25,6.19,10.45,1735.72,2.559,✔️,0.0,False,CPU
-7,🧠🔁,Neural Network,[RealMLP (tuned + ensembled)](https://arxiv.org/abs/2407.04491),1514.0,+58/-45,0.505,14.32,8.8,10.564,2950.72,11.988,✔️,0.0,False,GPU
-8,🧠⚡,Foundation Model,[TabDPT (tuned + ensembled)](https://arxiv.org/abs/2410.18164),1460.0,+63/-54,0.472,17.17,5.92,11.016,4907.64,286.652,✔️,0.0,False,GPU
-9,🧠🔁,Neural Network,[TabM (tuned + ensembled)](https://arxiv.org/abs/2410.24210),1448.0,+57/-43,0.403,17.8,9.79,11.971,3285.87,1.472,✔️,0.0,False,GPU
-10,🌳,Tree-based,[LightGBM (tuned + ensembled)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1435.0,+36/-30,0.349,18.57,13.16,12.986,416.98,2.639,✔️,0.0,False,CPU
-11,🧠🔁,Neural Network,[RealMLP (tuned)](https://arxiv.org/abs/2407.04491),1430.0,+47/-46,0.372,18.84,10.57,11.953,2950.72,0.663,✔️,0.0,False,GPU
-12,🌳,Tree-based,[CatBoost (tuned + ensembled)](https://arxiv.org/abs/1706.09516),1418.0,+40/-41,0.341,19.54,11.92,12.603,1658.41,0.653,✔️,0.0,False,CPU
-13,🌳,Tree-based,[CatBoost (tuned)](https://arxiv.org/abs/1706.09516),1407.0,+40/-43,0.328,20.19,11.35,12.8,1658.41,0.081,✔️,0.0,False,CPU
-14,🧠⚡,Foundation Model,[TabDPT (tuned)](https://arxiv.org/abs/2410.18164),1403.0,+60/-55,0.388,20.41,7.91,12.264,4907.64,39.96,✔️,0.0,False,GPU
-15,🧠🔁,Neural Network,[TabM (tuned)](https://arxiv.org/abs/2410.24210),1391.0,+53/-43,0.335,21.15,11.0,12.846,3285.87,0.173,✔️,0.0,False,GPU
-16,🧠🔁,Neural Network,[ModernNCA (tuned + ensembled)](https://arxiv.org/abs/2407.03257),1390.0,+82/-54,0.363,21.19,9.61,13.263,4621.67,8.149,✔️,0.0,False,GPU
-17,🌳,Tree-based,[LightGBM (tuned)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1387.0,+33/-27,0.27,21.37,15.69,13.662,416.98,0.334,✔️,0.0,False,CPU
-18,🌳,Tree-based,[XGBoost (tuned + ensembled)](https://arxiv.org/abs/1603.02754),1376.0,+34/-34,0.277,22.04,14.73,13.755,693.49,1.69,✔️,0.0,False,CPU
-19,🌳,Tree-based,[CatBoost (default)](https://arxiv.org/abs/1706.09516),1368.0,+41/-42,0.291,22.52,13.14,13.561,6.83,0.08,✔️,0.0,False,CPU
-20,🧠🔁,Neural Network,[ModernNCA (tuned)](https://arxiv.org/abs/2407.03257),1357.0,+40/-37,0.246,23.24,12.89,13.784,4621.67,0.475,✔️,0.0,False,GPU
-21,🌳,Tree-based,[XGBoost (tuned)](https://arxiv.org/abs/1603.02754),1352.0,+33/-34,0.234,23.52,17.78,14.07,693.49,0.308,✔️,0.0,False,CPU
-22,❓,Other,[xRFM (tuned + ensembled)](https://arxiv.org/abs/2508.10053),1350.0,+51/-40,0.258,23.62,15.05,14.164,846.88,2.552,✔️,0.0,False,GPU
-23,🧠⚡,Foundation Model,[TabDPT (default)](https://arxiv.org/abs/2410.18164),1324.0,+68/-56,0.304,25.26,9.86,14.638,47.62,43.739,✔️,0.0,False,GPU
-24,❓,Other,[xRFM (tuned)](https://arxiv.org/abs/2508.10053),1302.0,+45/-38,0.191,26.67,17.3,15.395,846.88,0.13,✔️,0.0,False,GPU
-25,🧠🔁,Neural Network,[TabM (default)](https://arxiv.org/abs/2410.24210),1297.0,+49/-43,0.226,27.0,17.03,15.092,10.49,0.132,✔️,0.0,False,GPU
-26,🧠🔁,Neural Network,[TorchMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1289.0,+49/-46,0.165,27.54,19.74,14.967,2874.67,1.952,✔️,0.0,False,CPU
-27,🧠⚡,Foundation Model,[SAP-RPT-OSS (default)](https://arxiv.org/abs/2506.10707),1284.0,+57/-54,0.25,27.81,11.02,16.098,14.11,2.075,➖,0.0,False,GPU
-28,🌳,Tree-based,[EBM (tuned + ensembled)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1272.0,+42/-39,0.157,28.59,20.18,16.795,2929.85,0.422,✔️,0.0,False,CPU
-29,🧠🔁,Neural Network,[ModernNCA (default)](https://arxiv.org/abs/2407.03257),1248.0,+44/-39,0.125,30.13,19.25,17.117,14.87,0.308,✔️,0.0,False,GPU
-30,🌳,Tree-based,[EBM (tuned)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1236.0,+44/-41,0.113,30.94,22.27,17.463,2929.85,0.051,✔️,0.0,False,CPU
-31,🧠🔁,Neural Network,[RealMLP (default)](https://arxiv.org/abs/2407.04491),1232.0,+38/-37,0.088,31.15,23.51,16.482,10.06,1.689,✔️,0.0,False,GPU
-32,🌳,Tree-based,[XGBoost (default)](https://arxiv.org/abs/1603.02754),1214.0,+39/-37,0.085,32.33,23.75,16.872,1.94,0.123,✔️,0.0,False,CPU
-33,🧠🔁,Neural Network,[TorchMLP (tuned)](https://arxiv.org/abs/2003.06505),1213.0,+42/-45,0.092,32.41,24.23,16.753,2874.67,0.131,✔️,0.0,False,CPU
-34,🧠🔁,Neural Network,[FastaiMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1208.0,+49/-57,0.13,32.7,19.96,17.625,593.24,4.467,✔️,0.0,False,CPU
-35,🌳,Tree-based,[EBM (default)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1202.0,+44/-48,0.103,33.06,23.28,18.493,7.32,0.05,✔️,0.0,False,CPU
-36,🌳,Tree-based,[ExtraTrees (tuned + ensembled)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1201.0,+47/-42,0.096,33.15,22.75,18.148,183.02,0.761,✔️,0.0,False,CPU
-37,🌳,Tree-based,[LightGBM (default)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1188.0,+33/-29,0.057,33.99,29.19,17.439,1.96,0.142,✔️,0.0,False,CPU
-38,🌳,Tree-based,[RandomForest (tuned + ensembled)](https://link.springer.com/article/10.1023/A:1010933404324),1172.0,+50/-45,0.078,34.95,23.48,19.09,373.18,0.771,✔️,0.0,False,CPU
-39,🌳,Tree-based,[ExtraTrees (tuned)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1166.0,+45/-46,0.073,35.34,23.07,19.081,183.02,0.091,✔️,0.0,False,CPU
-40,🧠🔁,Neural Network,[FastaiMLP (tuned)](https://arxiv.org/abs/2003.06505),1146.0,+50/-54,0.063,36.61,24.71,19.081,593.24,0.306,✔️,0.0,False,CPU
-41,🌳,Tree-based,[RandomForest (tuned)](https://link.springer.com/article/10.1023/A:1010933404324),1137.0,+48/-42,0.056,37.12,24.01,19.835,373.18,0.085,✔️,0.0,False,CPU
-42,🧠⚡,Foundation Model,[TabSTAR (tuned)](https://arxiv.org/abs/2505.18125),1096.0,+76/-83,0.131,39.6,13.44,24.048,28729.74,4.27,✔️,0.0,False,GPU
-43,🧠⚡,Foundation Model,[TabSTAR (tuned + ensembled)](https://arxiv.org/abs/2505.18125),1094.0,+80/-84,0.129,39.69,13.18,24.069,28729.74,18.819,✔️,0.0,False,GPU
-44,🌳,Tree-based,[PerpetualBooster (tuned + ensembled)](https://perpetual-ml.com/),1086.0,+46/-42,0.036,40.13,30.45,24.63,185.3,0.6,✔️,0.0,False,CPU
-45,🧠🔁,Neural Network,[TorchMLP (default)](https://arxiv.org/abs/2003.06505),1074.0,+34/-40,0.017,40.86,32.65,20.928,9.99,0.126,✔️,0.0,False,CPU
-46,🌳,Tree-based,[PerpetualBooster (tuned)](https://perpetual-ml.com/),1047.0,+48/-46,0.019,42.34,31.9,26.023,185.3,0.258,✔️,0.0,False,CPU
-47,❓,Other,[xRFM (default)](https://arxiv.org/abs/2508.10053),1038.0,+63/-65,0.036,42.79,35.5,24.63,3.23,0.919,✔️,0.0,False,GPU
-48,🧠🔁,Neural Network,[FastaiMLP (default)](https://arxiv.org/abs/2003.06505),1006.0,+52/-56,0.017,44.49,33.22,23.85,2.86,0.373,✔️,0.0,False,CPU
-49,🌳,Tree-based,[RandomForest (default)](https://link.springer.com/article/10.1023/A:1010933404324),1000.0,+45/-44,0.007,44.77,40.57,24.655,0.43,0.054,✔️,0.0,False,CPU
-50,📏,Baseline,[KNN (tuned + ensembled)](https://scikit-learn.org/stable/modules/neighbors.html),993.0,+59/-73,0.02,45.11,32.69,26.381,129.01,1.802,✔️,0.0,False,CPU
-51,🧠⚡,Foundation Model,[TabSTAR (default)](https://arxiv.org/abs/2505.18125),987.0,+90/-102,0.079,45.4,21.19,29.102,384.69,5.351,✔️,0.0,False,GPU
-52,🌳,Tree-based,[ExtraTrees (default)](https://link.springer.com/article/10.1007/s10994-006-6226-1),980.0,+55/-62,0.012,45.77,41.09,26.069,0.25,0.05,✔️,0.0,False,CPU
-53,📏,Baseline,[Linear (tuned + ensembled)](https://scikit-learn.org/stable/modules/linear_model.html),960.0,+64/-99,0.032,46.71,34.75,32.362,237.58,0.424,✔️,0.0,False,CPU
-54,📏,Baseline,[Linear (tuned)](https://scikit-learn.org/stable/modules/linear_model.html),933.0,+70/-99,0.022,47.87,36.37,32.933,237.58,0.085,✔️,0.0,False,CPU
-55,🌳,Tree-based,[PerpetualBooster (default)](https://perpetual-ml.com/),932.0,+44/-62,0.001,47.93,36.2,30.184,27.32,0.029,✔️,0.0,False,CPU
-56,📏,Baseline,[KNN (tuned)](https://scikit-learn.org/stable/modules/neighbors.html),886.0,+61/-95,0.01,49.78,39.21,31.533,129.01,0.18,✔️,0.0,False,CPU
-57,📏,Baseline,[Linear (default)](https://scikit-learn.org/stable/modules/linear_model.html),855.0,+70/-112,0.014,50.92,40.14,35.591,1.19,0.12,✔️,0.0,False,CPU
-58,📏,Baseline,[KNN (default)](https://scikit-learn.org/stable/modules/neighbors.html),648.0,+77/-93,0.0,56.13,51.15,45.014,0.19,0.036,✔️,0.0,False,CPU

data/imputation_no/splits_all/tasks_all/datasets_all/winrate_matrix.png.zip

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data/imputation_no/splits_all/tasks_all/datasets_medium/website_leaderboard.csv

@@ -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 1.5 (extreme, 4h)](https://arxiv.org/abs/2003.06505)",1932.0,+95/-58,0.857,4.36,2.28,2.354,191.18,2.207,✔️,0.0,False,GPU
-1,📊,Reference Pipeline,"[AutoGluon 1.4 (best, 4h)](https://arxiv.org/abs/2003.06505)",1794.0,+95/-46,0.717,7.59,3.24,3.572,432.35,4.085,✔️,0.0,False,CPU
-2,🧠⚡,Foundation Model,[TabPFN-2.6 (default)](https://arxiv.org/abs/2511.08667),1749.0,+125/-76,0.649,8.98,5.63,5.387,2.76,0.701,✔️,0.0,False,GPU
-3,🧠⚡,Foundation Model,[TabICLv2 (default)](https://arxiv.org/abs/2602.11139),1715.0,+214/-112,0.66,10.16,2.55,4.309,0.76,0.139,✔️,0.0,False,GPU
-4,🧠⚡,Foundation Model,[RealTabPFN-2.5 (tuned + ensembled)](https://arxiv.org/abs/2511.08667),1671.0,+156/-117,0.579,11.81,4.87,6.235,735.58,11.736,✔️,0.0,False,GPU
-5,🧠🔁,Neural Network,[RealMLP (tuned + ensembled)](https://arxiv.org/abs/2407.04491),1647.0,+98/-92,0.529,12.81,8.83,6.546,1719.82,1.675,✔️,0.0,False,GPU
-6,🧠🔁,Neural Network,[ModernNCA (tuned + ensembled)](https://arxiv.org/abs/2407.03257),1631.0,+116/-114,0.529,13.49,8.39,6.662,2526.28,6.013,✔️,0.0,False,GPU
-7,🌳,Tree-based,[CatBoost (tuned + ensembled)](https://arxiv.org/abs/1706.09516),1623.0,+86/-62,0.49,13.83,7.59,6.452,777.59,0.25,✔️,0.0,False,CPU
-8,🧠⚡,Foundation Model,[RealTabPFN-2.5 (tuned)](https://arxiv.org/abs/2511.08667),1618.0,+137/-108,0.527,14.06,6.91,6.936,735.58,1.386,✔️,0.0,False,GPU
-9,🌳,Tree-based,[CatBoost (tuned)](https://arxiv.org/abs/1706.09516),1613.0,+93/-61,0.49,14.26,6.61,6.653,777.59,0.052,✔️,0.0,False,CPU
-10,🌳,Tree-based,[LightGBM (tuned + ensembled)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1602.0,+69/-50,0.435,14.76,10.3,8.214,131.56,2.639,✔️,0.0,False,CPU
-11,🌳,Tree-based,[CatBoost (default)](https://arxiv.org/abs/1706.09516),1571.0,+105/-99,0.47,16.17,8.09,6.869,3.24,0.031,✔️,0.0,False,CPU
-12,🌳,Tree-based,[XGBoost (tuned + ensembled)](https://arxiv.org/abs/1603.02754),1562.0,+91/-56,0.393,16.61,9.94,8.346,282.13,0.563,✔️,0.0,False,CPU
-13,🧠🔁,Neural Network,[RealMLP (tuned)](https://arxiv.org/abs/2407.04491),1551.0,+110/-86,0.397,17.16,10.32,7.814,1719.82,0.081,✔️,0.0,False,GPU
-14,🧠⚡,Foundation Model,[RealTabPFN-2.5 (default)](https://arxiv.org/abs/2511.08667),1543.0,+147/-94,0.429,17.55,10.42,7.777,1.88,0.645,✔️,0.0,False,GPU
-15,🧠🔁,Neural Network,[TabM (tuned + ensembled)](https://arxiv.org/abs/2410.24210),1540.0,+153/-91,0.395,17.7,8.36,8.274,1993.14,0.619,✔️,0.0,False,GPU
-16,🧠⚡,Foundation Model,[TabDPT (tuned + ensembled)](https://arxiv.org/abs/2410.18164),1533.0,+144/-126,0.432,18.01,5.14,7.892,4786.55,444.544,✔️,0.0,False,GPU
-17,🌳,Tree-based,[LightGBM (tuned)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1514.0,+81/-63,0.313,18.99,13.44,9.409,131.56,0.132,✔️,0.0,False,CPU
-18,🌳,Tree-based,[XGBoost (tuned)](https://arxiv.org/abs/1603.02754),1512.0,+68/-50,0.324,19.07,14.83,8.908,282.13,0.066,✔️,0.0,False,CPU
-19,🧠🔁,Neural Network,[TabM (tuned)](https://arxiv.org/abs/2410.24210),1490.0,+160/-93,0.335,20.19,9.35,9.007,1993.14,0.061,✔️,0.0,False,GPU
-20,🧠🔁,Neural Network,[ModernNCA (tuned)](https://arxiv.org/abs/2407.03257),1479.0,+98/-84,0.311,20.73,15.41,8.968,2526.28,0.349,✔️,0.0,False,GPU
-21,❓,Other,[xRFM (tuned + ensembled)](https://arxiv.org/abs/2508.10053),1436.0,+113/-112,0.262,23.03,15.17,10.476,566.74,0.951,✔️,0.0,False,GPU
-22,🧠⚡,Foundation Model,[TabDPT (tuned)](https://arxiv.org/abs/2410.18164),1409.0,+122/-124,0.275,24.46,9.98,10.42,4786.55,42.641,✔️,0.0,False,GPU
-23,🧠🔁,Neural Network,[TorchMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1386.0,+74/-68,0.176,25.7,19.95,10.226,1770.56,1.069,✔️,0.0,False,CPU
-24,❓,Other,[xRFM (tuned)](https://arxiv.org/abs/2508.10053),1384.0,+99/-103,0.198,25.79,20.46,12.128,566.74,0.06,✔️,0.0,False,GPU
-25,🌳,Tree-based,[XGBoost (default)](https://arxiv.org/abs/1603.02754),1374.0,+98/-112,0.191,26.36,15.9,10.756,0.49,0.053,✔️,0.0,False,CPU
-26,🧠⚡,Foundation Model,[TabDPT (default)](https://arxiv.org/abs/2410.18164),1332.0,+133/-143,0.222,28.61,12.07,13.196,46.62,43.739,✔️,0.0,False,GPU
-27,🧠🔁,Neural Network,[TabM (default)](https://arxiv.org/abs/2410.24210),1330.0,+128/-102,0.166,28.76,19.62,11.857,5.16,0.074,✔️,0.0,False,GPU
-28,🌳,Tree-based,[EBM (tuned + ensembled)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1328.0,+122/-130,0.192,28.83,20.49,13.755,1517.65,0.134,✔️,0.0,False,CPU
-29,🧠🔁,Neural Network,[ModernNCA (default)](https://arxiv.org/abs/2407.03257),1302.0,+77/-79,0.11,30.29,26.46,12.273,8.06,0.25,✔️,0.0,False,GPU
-30,🧠🔁,Neural Network,[RealMLP (default)](https://arxiv.org/abs/2407.04491),1279.0,+81/-69,0.064,31.5,28.42,12.947,6.75,0.235,✔️,0.0,False,GPU
-31,🧠🔁,Neural Network,[TorchMLP (tuned)](https://arxiv.org/abs/2003.06505),1278.0,+77/-74,0.072,31.6,27.08,11.947,1770.56,0.051,✔️,0.0,False,CPU
-32,🌳,Tree-based,[EBM (tuned)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1267.0,+110/-140,0.128,32.19,25.38,14.642,1517.65,0.015,✔️,0.0,False,CPU
-33,🌳,Tree-based,[LightGBM (default)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1262.0,+60/-68,0.058,32.44,30.18,12.659,0.29,0.045,✔️,0.0,False,CPU
-34,🌳,Tree-based,[RandomForest (tuned + ensembled)](https://link.springer.com/article/10.1023/A:1010933404324),1249.0,+85/-83,0.042,33.15,27.74,13.167,66.0,0.341,✔️,0.0,False,CPU
-35,🌳,Tree-based,[EBM (default)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1218.0,+102/-135,0.099,34.81,29.72,16.189,3.12,0.016,✔️,0.0,False,CPU
-36,🌳,Tree-based,[RandomForest (tuned)](https://link.springer.com/article/10.1023/A:1010933404324),1217.0,+91/-80,0.046,34.85,29.25,13.841,66.0,0.024,✔️,0.0,False,CPU
-37,🌳,Tree-based,[ExtraTrees (tuned + ensembled)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1206.0,+75/-96,0.028,35.4,32.86,13.309,36.48,0.329,✔️,0.0,False,CPU
-38,🧠🔁,Neural Network,[FastaiMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1204.0,+121/-140,0.083,35.52,27.63,15.115,351.94,1.658,✔️,0.0,False,CPU
-39,🧠⚡,Foundation Model,[SAP-RPT-OSS (default)](https://arxiv.org/abs/2506.10707),1202.0,+87/-94,0.046,35.63,30.77,15.154,11.44,10.416,➖,0.0,False,GPU
-40,🌳,Tree-based,[ExtraTrees (tuned)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1161.0,+68/-75,0.014,37.74,35.83,14.467,36.48,0.037,✔️,0.0,False,CPU
-41,🧠🔁,Neural Network,[TorchMLP (default)](https://arxiv.org/abs/2003.06505),1122.0,+68/-74,0.004,39.71,37.95,16.236,2.18,0.039,✔️,0.0,False,CPU
-42,🧠🔁,Neural Network,[FastaiMLP (tuned)](https://arxiv.org/abs/2003.06505),1098.0,+90/-101,0.024,40.86,36.07,17.304,351.94,0.114,✔️,0.0,False,CPU
-43,🌳,Tree-based,[PerpetualBooster (tuned + ensembled)](https://perpetual-ml.com/),1094.0,+105/-121,0.024,41.04,35.31,19.604,20.26,0.515,✔️,0.0,False,CPU
-44,🌳,Tree-based,[PerpetualBooster (tuned)](https://perpetual-ml.com/),1044.0,+95/-115,0.01,43.4,39.56,20.76,20.26,0.2,✔️,0.0,False,CPU
-45,❓,Other,[xRFM (default)](https://arxiv.org/abs/2508.10053),1034.0,+154/-192,0.023,43.81,37.67,24.374,2.49,0.145,✔️,0.0,False,GPU
-46,🧠🔁,Neural Network,[FastaiMLP (default)](https://arxiv.org/abs/2003.06505),1021.0,+139/-166,0.027,44.41,39.24,20.959,1.51,0.111,✔️,0.0,False,CPU
-47,🌳,Tree-based,[RandomForest (default)](https://link.springer.com/article/10.1023/A:1010933404324),1000.0,+56/-92,0.0,45.31,44.21,19.395,0.2,0.021,✔️,0.0,False,CPU
-48,📏,Baseline,[KNN (tuned + ensembled)](https://scikit-learn.org/stable/modules/neighbors.html),985.0,+102/-124,0.007,45.95,40.09,22.93,150.3,10.071,✔️,0.0,False,CPU
-49,🧠⚡,Foundation Model,[TabSTAR (tuned)](https://arxiv.org/abs/2505.18125),983.0,+59/-98,0.0,46.04,44.38,24.3,3381.73,1.724,✔️,0.0,False,GPU
-50,🧠⚡,Foundation Model,[TabSTAR (tuned + ensembled)](https://arxiv.org/abs/2505.18125),982.0,+60/-92,0.0,46.07,44.53,24.278,3381.73,5.283,✔️,0.0,False,GPU
-51,🌳,Tree-based,[ExtraTrees (default)](https://link.springer.com/article/10.1007/s10994-006-6226-1),940.0,+107/-128,0.004,47.74,45.79,22.49,0.11,0.028,✔️,0.0,False,CPU
-52,📏,Baseline,[Linear (tuned + ensembled)](https://scikit-learn.org/stable/modules/linear_model.html),926.0,+157/-216,0.007,48.25,43.68,31.744,43.64,0.081,✔️,0.0,False,CPU
-53,📏,Baseline,[Linear (tuned)](https://scikit-learn.org/stable/modules/linear_model.html),882.0,+159/-230,0.004,49.84,46.21,32.653,43.64,0.018,✔️,0.0,False,CPU
-54,🌳,Tree-based,[PerpetualBooster (default)](https://perpetual-ml.com/),881.0,+99/-160,0.004,49.86,47.98,27.991,1.5,0.015,✔️,0.0,False,CPU
-55,🧠⚡,Foundation Model,[TabSTAR (default)](https://arxiv.org/abs/2505.18125),841.0,+50/-95,0.0,51.15,50.53,29.403,110.78,1.964,✔️,0.0,False,GPU
-56,📏,Baseline,[KNN (tuned)](https://scikit-learn.org/stable/modules/neighbors.html),808.0,+56/-95,0.0,52.13,51.83,28.803,150.3,0.482,✔️,0.0,False,CPU
-57,📏,Baseline,[Linear (default)](https://scikit-learn.org/stable/modules/linear_model.html),787.0,+135/-221,0.0,52.7,50.9,34.725,0.19,0.019,✔️,0.0,False,CPU
-58,📏,Baseline,[KNN (default)](https://scikit-learn.org/stable/modules/neighbors.html),580.0,+86/-145,0.0,56.78,56.63,42.573,0.1,0.072,✔️,0.0,False,CPU

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data/imputation_no/splits_all/tasks_all/datasets_small/website_leaderboard.csv

@@ -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 1.5 (extreme, 4h)](https://arxiv.org/abs/2003.06505)",1642.0,+87/-57,0.769,8.16,3.19,6.063,346.57,6.557,✔️,0.0,False,GPU
-1,🧠⚡,Foundation Model,[TabPFN-2.6 (default)](https://arxiv.org/abs/2511.08667),1599.0,+77/-48,0.731,9.69,4.37,9.136,7.03,0.548,✔️,0.0,False,GPU
-2,🧠⚡,Foundation Model,[RealTabPFN-2.5 (tuned + ensembled)](https://arxiv.org/abs/2511.08667),1598.0,+96/-63,0.708,9.73,3.66,8.263,2289.05,8.049,✔️,0.0,False,GPU
-3,🧠⚡,Foundation Model,[TabICLv2 (default)](https://arxiv.org/abs/2602.11139),1573.0,+109/-84,0.743,10.72,3.29,8.114,7.06,0.671,✔️,0.0,False,GPU
-4,🧠⚡,Foundation Model,[RealTabPFN-2.5 (tuned)](https://arxiv.org/abs/2511.08667),1556.0,+73/-58,0.655,11.44,4.67,9.065,2289.05,1.143,✔️,0.0,False,GPU
-5,🧠⚡,Foundation Model,[RealTabPFN-2.5 (default)](https://arxiv.org/abs/2511.08667),1543.0,+88/-54,0.645,12.03,6.05,9.448,6.76,0.636,✔️,0.0,False,GPU
-6,🧠🔁,Neural Network,[RealMLP (tuned + ensembled)](https://arxiv.org/abs/2407.04491),1482.0,+64/-47,0.494,14.95,8.79,12.238,3770.75,21.902,✔️,0.0,False,GPU
-7,🧠⚡,Foundation Model,[TabDPT (tuned + ensembled)](https://arxiv.org/abs/2410.18164),1447.0,+81/-59,0.489,16.81,6.32,12.318,5119.36,218.711,✔️,0.0,False,GPU
-8,📊,Reference Pipeline,"[AutoGluon 1.4 (best, 4h)](https://arxiv.org/abs/2003.06505)",1444.0,+53/-49,0.413,17.03,9.96,13.315,3716.07,2.547,✔️,0.0,False,CPU
-9,🧠🔁,Neural Network,[TabM (tuned + ensembled)](https://arxiv.org/abs/2410.24210),1429.0,+58/-51,0.407,17.84,10.54,13.511,3553.12,1.741,✔️,0.0,False,GPU
-10,🧠⚡,Foundation Model,[TabDPT (tuned)](https://arxiv.org/abs/2410.18164),1414.0,+73/-58,0.435,18.73,7.29,13.032,5119.36,28.351,✔️,0.0,False,GPU
-11,🧠🔁,Neural Network,[RealMLP (tuned)](https://arxiv.org/abs/2407.04491),1400.0,+54/-40,0.362,19.54,10.68,13.678,3770.75,1.778,✔️,0.0,False,GPU
-12,🌳,Tree-based,[LightGBM (tuned + ensembled)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1390.0,+36/-31,0.313,20.16,14.88,14.975,892.41,2.574,✔️,0.0,False,CPU
-13,🧠🔁,Neural Network,[TabM (tuned)](https://arxiv.org/abs/2410.24210),1367.0,+56/-51,0.334,21.54,11.87,14.445,3553.12,0.241,✔️,0.0,False,GPU
-14,🌳,Tree-based,[CatBoost (tuned + ensembled)](https://arxiv.org/abs/1706.09516),1361.0,+46/-41,0.278,21.92,15.62,15.166,2476.51,0.814,✔️,0.0,False,CPU
-15,🌳,Tree-based,[LightGBM (tuned)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1354.0,+36/-29,0.252,22.36,16.87,15.434,892.41,0.346,✔️,0.0,False,CPU
-16,🌳,Tree-based,[CatBoost (tuned)](https://arxiv.org/abs/1706.09516),1349.0,+48/-35,0.26,22.66,16.17,15.361,2476.51,0.101,✔️,0.0,False,CPU
-17,🧠⚡,Foundation Model,[TabDPT (default)](https://arxiv.org/abs/2410.18164),1330.0,+74/-66,0.338,23.87,9.16,15.239,50.32,43.709,✔️,0.0,False,GPU
-18,❓,Other,[xRFM (tuned + ensembled)](https://arxiv.org/abs/2508.10053),1330.0,+46/-41,0.256,23.87,15.0,15.7,1126.71,2.941,✔️,0.0,False,GPU
-19,🧠🔁,Neural Network,[ModernNCA (tuned)](https://arxiv.org/abs/2407.03257),1324.0,+42/-40,0.219,24.29,12.06,15.791,6521.96,0.506,✔️,0.0,False,GPU
-20,🌳,Tree-based,[XGBoost (tuned + ensembled)](https://arxiv.org/abs/1603.02754),1324.0,+34/-36,0.229,24.3,18.43,16.009,884.18,2.368,✔️,0.0,False,CPU
-21,🧠🔁,Neural Network,[ModernNCA (tuned + ensembled)](https://arxiv.org/abs/2407.03257),1322.0,+65/-56,0.294,24.4,10.23,16.013,6521.96,8.396,✔️,0.0,False,GPU
-22,🧠⚡,Foundation Model,[SAP-RPT-OSS (default)](https://arxiv.org/abs/2506.10707),1320.0,+71/-57,0.335,24.55,8.7,16.492,16.22,1.278,➖,0.0,False,GPU
-23,🌳,Tree-based,[CatBoost (default)](https://arxiv.org/abs/1706.09516),1310.0,+36/-35,0.217,25.17,17.76,16.35,9.64,0.128,✔️,0.0,False,CPU
-24,🌳,Tree-based,[XGBoost (tuned)](https://arxiv.org/abs/1603.02754),1307.0,+31/-38,0.197,25.38,19.38,16.22,884.18,0.393,✔️,0.0,False,CPU
-25,🧠🔁,Neural Network,[TabM (default)](https://arxiv.org/abs/2410.24210),1294.0,+55/-46,0.252,26.26,16.14,16.44,13.18,0.17,✔️,0.0,False,GPU
-26,❓,Other,[xRFM (tuned)](https://arxiv.org/abs/2508.10053),1282.0,+40/-45,0.188,27.03,16.25,16.756,1126.71,0.163,✔️,0.0,False,GPU
-27,🧠🔁,Neural Network,[TorchMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1263.0,+44/-50,0.161,28.3,19.66,16.943,3865.95,2.158,✔️,0.0,False,CPU
-28,🌳,Tree-based,[EBM (tuned + ensembled)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1260.0,+42/-45,0.143,28.48,20.06,18.062,3351.28,0.47,✔️,0.0,False,CPU
-29,🧠🔁,Neural Network,[ModernNCA (default)](https://arxiv.org/abs/2407.03257),1236.0,+48/-52,0.132,30.06,17.29,19.136,16.27,0.321,✔️,0.0,False,GPU
-30,🌳,Tree-based,[EBM (tuned)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1231.0,+47/-44,0.106,30.42,21.19,18.638,3351.28,0.056,✔️,0.0,False,CPU
-31,🧠🔁,Neural Network,[RealMLP (default)](https://arxiv.org/abs/2407.04491),1222.0,+37/-42,0.098,31.0,21.94,17.954,15.69,4.691,✔️,0.0,False,GPU
-32,🧠🔁,Neural Network,[FastaiMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1214.0,+60/-61,0.15,31.52,17.89,18.671,1678.92,8.069,✔️,0.0,False,CPU
-33,🌳,Tree-based,[ExtraTrees (tuned + ensembled)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1204.0,+65/-64,0.125,32.21,20.17,20.165,499.14,1.466,✔️,0.0,False,CPU
-34,🌳,Tree-based,[EBM (default)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1202.0,+48/-50,0.105,32.33,21.36,19.452,9.08,0.057,✔️,0.0,False,CPU
-35,🧠🔁,Neural Network,[TorchMLP (tuned)](https://arxiv.org/abs/2003.06505),1196.0,+40/-47,0.1,32.74,23.21,18.755,3865.95,0.148,✔️,0.0,False,CPU
-36,🌳,Tree-based,[ExtraTrees (tuned)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1172.0,+61/-61,0.097,34.33,20.09,21.004,499.14,0.207,✔️,0.0,False,CPU
-37,🌳,Tree-based,[LightGBM (default)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1167.0,+40/-41,0.057,34.64,28.8,19.43,3.61,0.17,✔️,0.0,False,CPU
-38,🌳,Tree-based,[XGBoost (default)](https://arxiv.org/abs/1603.02754),1164.0,+31/-37,0.041,34.82,29.92,19.42,3.29,0.253,✔️,0.0,False,CPU
-39,🧠🔁,Neural Network,[FastaiMLP (tuned)](https://arxiv.org/abs/2003.06505),1164.0,+49/-51,0.079,34.83,21.84,19.822,1678.92,0.826,✔️,0.0,False,CPU
-40,🌳,Tree-based,[RandomForest (tuned + ensembled)](https://link.springer.com/article/10.1023/A:1010933404324),1151.0,+56/-67,0.093,35.7,22.07,21.558,590.04,1.461,✔️,0.0,False,CPU
-41,🧠⚡,Foundation Model,[TabSTAR (tuned)](https://arxiv.org/abs/2505.18125),1131.0,+75/-77,0.186,36.92,10.41,23.943,40848.87,5.609,✔️,0.0,False,GPU
-42,🧠⚡,Foundation Model,[TabSTAR (tuned + ensembled)](https://arxiv.org/abs/2505.18125),1130.0,+75/-78,0.183,37.04,10.19,23.982,40848.87,25.959,✔️,0.0,False,GPU
-43,🌳,Tree-based,[RandomForest (tuned)](https://link.springer.com/article/10.1023/A:1010933404324),1113.0,+49/-65,0.06,38.06,22.34,22.333,590.04,0.15,✔️,0.0,False,CPU
-44,🌳,Tree-based,[PerpetualBooster (tuned + ensembled)](https://perpetual-ml.com/),1086.0,+44/-57,0.041,39.75,28.79,26.724,341.86,0.895,✔️,0.0,False,CPU
-45,🧠🔁,Neural Network,[TorchMLP (default)](https://arxiv.org/abs/2003.06505),1058.0,+45/-47,0.022,41.33,30.86,22.883,13.69,0.155,✔️,0.0,False,CPU
-46,🌳,Tree-based,[PerpetualBooster (tuned)](https://perpetual-ml.com/),1049.0,+47/-54,0.022,41.91,29.52,28.216,341.86,0.313,✔️,0.0,False,CPU
-47,❓,Other,[xRFM (default)](https://arxiv.org/abs/2508.10053),1040.0,+59/-82,0.042,42.36,34.67,24.737,5.44,1.098,✔️,0.0,False,GPU
-48,🧠⚡,Foundation Model,[TabSTAR (default)](https://arxiv.org/abs/2505.18125),1029.0,+80/-114,0.112,43.0,17.06,28.977,471.66,7.221,✔️,0.0,False,GPU
-49,🧠🔁,Neural Network,[FastaiMLP (default)](https://arxiv.org/abs/2003.06505),1000.0,+46/-59,0.013,44.52,31.22,25.054,5.48,0.685,✔️,0.0,False,CPU
-50,🌳,Tree-based,[RandomForest (default)](https://link.springer.com/article/10.1023/A:1010933404324),1000.0,+58/-69,0.01,44.55,39.23,26.847,0.51,0.089,✔️,0.0,False,CPU
-51,📏,Baseline,[KNN (tuned + ensembled)](https://scikit-learn.org/stable/modules/neighbors.html),996.0,+66/-90,0.026,44.77,30.35,27.818,111.84,1.215,✔️,0.0,False,CPU
-52,🌳,Tree-based,[ExtraTrees (default)](https://link.springer.com/article/10.1007/s10994-006-6226-1),992.0,+63/-68,0.015,44.94,39.41,27.559,0.47,0.092,✔️,0.0,False,CPU
-53,📏,Baseline,[Linear (tuned + ensembled)](https://scikit-learn.org/stable/modules/linear_model.html),970.0,+83/-95,0.042,46.06,32.03,32.619,520.95,0.647,✔️,0.0,False,CPU
-54,📏,Baseline,[Linear (tuned)](https://scikit-learn.org/stable/modules/linear_model.html),949.0,+82/-103,0.03,47.04,33.41,33.05,520.95,0.113,✔️,0.0,False,CPU
-55,🌳,Tree-based,[PerpetualBooster (default)](https://perpetual-ml.com/),948.0,+39/-55,0.0,47.12,32.84,31.097,39.08,0.041,✔️,0.0,False,CPU
-56,📏,Baseline,[KNN (tuned)](https://scikit-learn.org/stable/modules/neighbors.html),909.0,+68/-86,0.014,48.8,35.6,32.671,111.84,0.111,✔️,0.0,False,CPU
-57,📏,Baseline,[Linear (default)](https://scikit-learn.org/stable/modules/linear_model.html),875.0,+97/-116,0.019,50.17,36.89,35.951,2.59,0.138,✔️,0.0,False,CPU
-58,📏,Baseline,[KNN (default)](https://scikit-learn.org/stable/modules/neighbors.html),666.0,+99/-128,0.0,55.86,49.16,46.031,0.37,0.033,✔️,0.0,False,CPU

data/imputation_no/splits_all/tasks_all/datasets_small/winrate_matrix.png.zip

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data/imputation_no/splits_all/tasks_binary/datasets_all/website_leaderboard.csv

@@ -1,62 +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 1.5 (extreme, 4h)](https://arxiv.org/abs/2003.06505)",1685.0,+123/-92,0.777,7.55,2.76,5.022,272.41,4.562,✔️,0.0,False,GPU
-1,🧠⚡,Foundation Model,[TabICLv2 (default)](https://arxiv.org/abs/2602.11139),1605.0,+123/-67,0.711,10.44,3.1,7.359,3.01,0.337,✔️,0.0,False,GPU
-2,🧠⚡,Foundation Model,[TabPFN-2.6 (default)](https://arxiv.org/abs/2511.08667),1603.0,+80/-60,0.681,10.55,4.87,9.332,4.82,0.464,✔️,0.0,False,GPU
-3,🧠⚡,Foundation Model,[RealTabPFN-2.5 (tuned + ensembled)](https://arxiv.org/abs/2511.08667),1555.0,+112/-58,0.595,12.67,4.95,10.009,1923.88,9.103,✔️,0.0,False,GPU
-4,🧠⚡,Foundation Model,[RealTabPFN-2.5 (default)](https://arxiv.org/abs/2511.08667),1536.0,+85/-57,0.586,13.57,6.78,10.48,4.91,0.694,✔️,0.0,False,GPU
-5,🧠⚡,Foundation Model,[RealTabPFN-2.5 (tuned)](https://arxiv.org/abs/2511.08667),1525.0,+93/-56,0.557,14.16,5.79,10.69,1923.88,1.329,✔️,0.0,False,GPU
-6,📊,Reference Pipeline,"[AutoGluon 1.4 (best, 4h)](https://arxiv.org/abs/2003.06505)",1504.0,+77/-69,0.503,15.26,5.6,11.459,1152.95,1.784,✔️,0.0,False,CPU
-7,🧠🔁,Neural Network,[RealMLP (tuned + ensembled)](https://arxiv.org/abs/2407.04491),1489.0,+50/-54,0.455,16.05,10.66,12.456,2775.44,8.849,✔️,0.0,False,GPU
-8,🧠🔁,Neural Network,[TabM (tuned + ensembled)](https://arxiv.org/abs/2410.24210),1466.0,+82/-56,0.416,17.37,8.52,13.167,2229.7,1.387,✔️,0.0,False,GPU
-9,🌳,Tree-based,[LightGBM (tuned + ensembled)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1431.0,+54/-40,0.338,19.44,12.88,14.373,328.96,1.102,✔️,0.0,False,CPU
-10,🧠⚡,Foundation Model,[TabDPT (tuned + ensembled)](https://arxiv.org/abs/2410.18164),1412.0,+70/-59,0.37,20.62,8.18,12.195,4982.66,358.753,✔️,0.0,False,GPU
-11,🧠🔁,Neural Network,[TabM (tuned)](https://arxiv.org/abs/2410.24210),1410.0,+79/-60,0.352,20.76,9.81,14.026,2229.7,0.133,✔️,0.0,False,GPU
-12,🌳,Tree-based,[CatBoost (tuned + ensembled)](https://arxiv.org/abs/1706.09516),1404.0,+66/-53,0.329,21.15,11.53,14.171,1055.6,0.482,✔️,0.0,False,CPU
-13,🌳,Tree-based,[CatBoost (tuned)](https://arxiv.org/abs/1706.09516),1400.0,+62/-48,0.33,21.45,10.73,14.282,1055.6,0.063,✔️,0.0,False,CPU
-14,🌳,Tree-based,[CatBoost (default)](https://arxiv.org/abs/1706.09516),1398.0,+56/-53,0.345,21.52,10.94,14.164,4.27,0.064,✔️,0.0,False,CPU
-15,🧠🔁,Neural Network,[RealMLP (tuned)](https://arxiv.org/abs/2407.04491),1396.0,+50/-50,0.299,21.67,11.74,14.127,2775.44,0.415,✔️,0.0,False,GPU
-16,🌳,Tree-based,[LightGBM (tuned)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1380.0,+47/-30,0.246,22.69,15.77,15.206,328.96,0.126,✔️,0.0,False,CPU
-17,🌳,Tree-based,[XGBoost (tuned + ensembled)](https://arxiv.org/abs/1603.02754),1379.0,+64/-51,0.283,22.77,13.01,15.251,472.99,0.621,✔️,0.0,False,CPU
-18,🧠⚡,Foundation Model,[BetaTabPFN (default)](https://arxiv.org/abs/2502.02527),1377.0,+64/-54,0.308,22.92,12.37,16.226,250.36,1.708,➖,0.0,False,GPU
-19,🧠🔁,Neural Network,[ModernNCA (tuned)](https://arxiv.org/abs/2407.03257),1361.0,+54/-58,0.244,23.95,12.55,15.152,3383.91,0.51,✔️,0.0,False,GPU
-20,🧠🔁,Neural Network,[ModernNCA (tuned + ensembled)](https://arxiv.org/abs/2407.03257),1357.0,+94/-94,0.346,24.24,10.97,15.235,3383.91,8.396,✔️,0.0,False,GPU
-21,🧠⚡,Foundation Model,[TabDPT (tuned)](https://arxiv.org/abs/2410.18164),1349.0,+62/-53,0.268,24.77,9.54,13.746,4982.66,42.199,✔️,0.0,False,GPU
-22,🌳,Tree-based,[XGBoost (tuned)](https://arxiv.org/abs/1603.02754),1346.0,+47/-42,0.223,24.97,17.35,15.749,472.99,0.13,✔️,0.0,False,CPU
-23,❓,Other,[xRFM (tuned + ensembled)](https://arxiv.org/abs/2508.10053),1325.0,+57/-57,0.199,26.41,16.58,15.913,642.33,2.767,✔️,0.0,False,GPU
-24,🧠🔁,Neural Network,[TorchMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1316.0,+46/-42,0.19,26.99,18.86,15.579,2241.65,2.415,✔️,0.0,False,CPU
-25,🧠🔁,Neural Network,[TabM (default)](https://arxiv.org/abs/2410.24210),1311.0,+66/-59,0.231,27.33,15.91,16.346,8.72,0.126,✔️,0.0,False,GPU
-26,🌳,Tree-based,[EBM (tuned + ensembled)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1308.0,+50/-44,0.155,27.52,19.29,17.519,1560.02,0.404,✔️,0.0,False,CPU
-27,❓,Other,[xRFM (tuned)](https://arxiv.org/abs/2508.10053),1299.0,+49/-59,0.165,28.18,17.0,17.102,642.33,0.146,✔️,0.0,False,GPU
-28,🧠⚡,Foundation Model,[SAP-RPT-OSS (default)](https://arxiv.org/abs/2506.10707),1292.0,+64/-60,0.211,28.64,13.1,18.162,12.86,3.167,➖,0.0,False,GPU
-29,🧠⚡,Foundation Model,[TabDPT (default)](https://arxiv.org/abs/2410.18164),1277.0,+63/-73,0.206,29.68,13.02,16.675,49.67,43.824,✔️,0.0,False,GPU
-30,🌳,Tree-based,[EBM (tuned)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1274.0,+47/-44,0.101,29.88,21.56,18.223,1560.02,0.052,✔️,0.0,False,CPU
-31,🧠🔁,Neural Network,[ModernNCA (default)](https://arxiv.org/abs/2407.03257),1266.0,+47/-44,0.148,30.44,17.21,18.05,13.5,0.311,✔️,0.0,False,GPU
-32,🧠🔁,Neural Network,[RealMLP (default)](https://arxiv.org/abs/2407.04491),1266.0,+41/-46,0.113,30.48,21.64,16.919,9.33,1.116,✔️,0.0,False,GPU
-33,🧠🔁,Neural Network,[FastaiMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1265.0,+57/-64,0.143,30.49,19.4,17.247,559.38,4.08,✔️,0.0,False,CPU
-34,🌳,Tree-based,[EBM (default)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1248.0,+48/-51,0.106,31.69,21.3,19.115,4.98,0.049,✔️,0.0,False,CPU
-35,🌳,Tree-based,[XGBoost (default)](https://arxiv.org/abs/1603.02754),1231.0,+62/-53,0.113,32.83,21.38,18.347,1.24,0.11,✔️,0.0,False,CPU
-36,🧠🔁,Neural Network,[TorchMLP (tuned)](https://arxiv.org/abs/2003.06505),1229.0,+43/-38,0.086,33.02,24.16,17.69,2241.65,0.136,✔️,0.0,False,CPU
-37,🧠🔁,Neural Network,[FastaiMLP (tuned)](https://arxiv.org/abs/2003.06505),1192.0,+55/-63,0.064,35.53,23.03,19.222,559.38,0.276,✔️,0.0,False,CPU
-38,🌳,Tree-based,[ExtraTrees (tuned + ensembled)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1184.0,+50/-54,0.047,36.03,27.31,19.614,125.38,0.674,✔️,0.0,False,CPU
-39,🌳,Tree-based,[LightGBM (default)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1184.0,+48/-37,0.056,36.05,30.62,19.067,0.81,0.093,✔️,0.0,False,CPU
-40,🧠⚡,Foundation Model,[TabSTAR (tuned)](https://arxiv.org/abs/2505.18125),1168.0,+73/-74,0.171,37.14,10.46,22.701,25373.34,3.667,✔️,0.0,False,GPU
-41,🧠⚡,Foundation Model,[TabSTAR (tuned + ensembled)](https://arxiv.org/abs/2505.18125),1160.0,+72/-80,0.165,37.63,10.4,22.836,25373.34,14.078,✔️,0.0,False,GPU
-42,🌳,Tree-based,[RandomForest (tuned + ensembled)](https://link.springer.com/article/10.1023/A:1010933404324),1156.0,+48/-59,0.035,37.95,27.55,21.052,169.75,0.603,✔️,0.0,False,CPU
-43,🌳,Tree-based,[ExtraTrees (tuned)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1148.0,+49/-52,0.029,38.46,29.78,20.729,125.38,0.069,✔️,0.0,False,CPU
-44,🌳,Tree-based,[RandomForest (tuned)](https://link.springer.com/article/10.1023/A:1010933404324),1122.0,+41/-55,0.024,40.07,30.9,21.742,169.75,0.059,✔️,0.0,False,CPU
-45,🧠🔁,Neural Network,[TorchMLP (default)](https://arxiv.org/abs/2003.06505),1099.0,+56/-44,0.024,41.55,31.34,21.71,4.95,0.091,✔️,0.0,False,CPU
-46,🌳,Tree-based,[PerpetualBooster (tuned + ensembled)](https://perpetual-ml.com/),1098.0,+58/-74,0.047,41.59,28.28,23.287,117.83,0.773,✔️,0.0,False,CPU
-47,🧠🔁,Neural Network,[FastaiMLP (default)](https://arxiv.org/abs/2003.06505),1063.0,+63/-81,0.027,43.7,28.95,23.032,2.56,0.267,✔️,0.0,False,CPU
-48,🌳,Tree-based,[PerpetualBooster (tuned)](https://perpetual-ml.com/),1062.0,+59/-74,0.028,43.73,30.88,24.692,117.83,0.29,✔️,0.0,False,CPU
-49,🧠⚡,Foundation Model,[TabSTAR (default)](https://arxiv.org/abs/2505.18125),1060.0,+86/-103,0.11,43.87,17.17,27.666,391.1,4.052,✔️,0.0,False,GPU
-50,📏,Baseline,[Linear (tuned + ensembled)](https://scikit-learn.org/stable/modules/linear_model.html),1050.0,+84/-100,0.055,44.47,29.7,28.28,162.68,0.405,✔️,0.0,False,CPU
-51,🧠⚡,Foundation Model,[TabFlex (default)](https://arxiv.org/abs/2506.05584),1043.0,+101/-107,0.084,44.83,27.52,27.118,0.85,0.129,➖,0.0,False,GPU
-52,📏,Baseline,[Linear (tuned)](https://scikit-learn.org/stable/modules/linear_model.html),1024.0,+84/-112,0.038,45.89,31.3,28.935,162.68,0.054,✔️,0.0,False,CPU
-53,📏,Baseline,[KNN (tuned + ensembled)](https://scikit-learn.org/stable/modules/neighbors.html),1024.0,+59/-92,0.017,45.91,33.65,25.608,139.84,3.917,✔️,0.0,False,CPU
-54,🌳,Tree-based,[RandomForest (default)](https://link.springer.com/article/10.1023/A:1010933404324),1000.0,+62/-73,0.014,47.15,41.31,25.873,0.25,0.029,✔️,0.0,False,CPU
-55,❓,Other,[xRFM (default)](https://arxiv.org/abs/2508.10053),985.0,+73/-100,0.026,47.92,40.21,28.374,2.8,0.564,✔️,0.0,False,GPU
-56,📏,Baseline,[Linear (default)](https://scikit-learn.org/stable/modules/linear_model.html),966.0,+83/-107,0.024,48.84,34.55,30.816,0.84,0.094,✔️,0.0,False,CPU
-57,🌳,Tree-based,[ExtraTrees (default)](https://link.springer.com/article/10.1007/s10994-006-6226-1),959.0,+76/-94,0.009,49.14,44.03,27.217,0.2,0.037,✔️,0.0,False,CPU
-58,🌳,Tree-based,[PerpetualBooster (default)](https://perpetual-ml.com/),946.0,+56/-80,0.0,49.77,36.57,29.067,15.79,0.029,✔️,0.0,False,CPU
-59,📏,Baseline,[KNN (tuned)](https://scikit-learn.org/stable/modules/neighbors.html),920.0,+71/-126,0.003,50.89,38.05,30.607,139.84,0.193,✔️,0.0,False,CPU
-60,📏,Baseline,[KNN (default)](https://scikit-learn.org/stable/modules/neighbors.html),620.0,+102/-166,0.0,58.76,54.33,44.885,0.15,0.023,✔️,0.0,False,CPU

data/imputation_no/splits_all/tasks_binary/datasets_all/winrate_matrix.png.zip

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data/imputation_no/splits_all/tasks_binary/datasets_medium/pareto_front_improvability_vs_time_infer.png.zip

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data/imputation_no/splits_all/tasks_binary/datasets_medium/website_leaderboard.csv

@@ -1,63 +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 1.5 (extreme, 4h)](https://arxiv.org/abs/2003.06505)",2095.0,+165/-59,0.905,3.51,2.21,2.432,128.64,2.023,✔️,0.0,False,GPU
-1,📊,Reference Pipeline,"[AutoGluon 1.4 (best, 4h)](https://arxiv.org/abs/2003.06505)",1913.0,+190/-74,0.787,7.23,2.58,3.423,325.91,2.156,✔️,0.0,False,CPU
-2,🧠⚡,Foundation Model,[TabPFN-2.6 (default)](https://arxiv.org/abs/2511.08667),1804.0,+141/-89,0.621,10.81,6.02,6.94,2.76,0.886,✔️,0.0,False,GPU
-3,🧠⚡,Foundation Model,[TabICLv2 (default)](https://arxiv.org/abs/2602.11139),1784.0,+187/-121,0.603,11.58,3.0,5.237,0.84,0.202,✔️,0.0,False,GPU
-4,🌳,Tree-based,[CatBoost (tuned + ensembled)](https://arxiv.org/abs/1706.09516),1770.0,+154/-87,0.608,12.19,6.52,5.606,619.15,0.198,✔️,0.0,False,CPU
-5,🌳,Tree-based,[CatBoost (tuned)](https://arxiv.org/abs/1706.09516),1764.0,+160/-96,0.613,12.41,5.46,5.907,619.15,0.016,✔️,0.0,False,CPU
-6,🧠🔁,Neural Network,[RealMLP (tuned + ensembled)](https://arxiv.org/abs/2407.04491),1761.0,+119/-43,0.553,12.56,9.14,6.321,1633.8,2.053,✔️,0.0,False,GPU
-7,🌳,Tree-based,[CatBoost (default)](https://arxiv.org/abs/1706.09516),1749.0,+143/-81,0.604,13.04,6.16,5.697,2.21,0.025,✔️,0.0,False,CPU
-8,🌳,Tree-based,[XGBoost (tuned + ensembled)](https://arxiv.org/abs/1603.02754),1727.0,+160/-94,0.505,14.0,7.73,8.4,110.13,0.386,✔️,0.0,False,CPU
-9,🌳,Tree-based,[LightGBM (tuned + ensembled)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1709.0,+159/-78,0.493,14.84,9.81,8.801,86.85,0.668,✔️,0.0,False,CPU
-10,🧠🔁,Neural Network,[TabM (tuned + ensembled)](https://arxiv.org/abs/2410.24210),1691.0,+206/-125,0.473,15.68,6.27,8.164,804.65,0.71,✔️,0.0,False,GPU
-11,🧠🔁,Neural Network,[ModernNCA (tuned + ensembled)](https://arxiv.org/abs/2407.03257),1682.0,+148/-136,0.498,16.1,8.96,7.855,2139.17,6.41,✔️,0.0,False,GPU
-12,🧠⚡,Foundation Model,[RealTabPFN-2.5 (tuned + ensembled)](https://arxiv.org/abs/2511.08667),1662.0,+198/-115,0.443,17.06,8.17,9.222,842.24,15.119,✔️,0.0,False,GPU
-13,🧠🔁,Neural Network,[RealMLP (tuned)](https://arxiv.org/abs/2407.04491),1662.0,+140/-65,0.412,17.1,10.14,7.81,1633.8,0.088,✔️,0.0,False,GPU
-14,🌳,Tree-based,[XGBoost (tuned)](https://arxiv.org/abs/1603.02754),1650.0,+123/-79,0.403,17.69,12.95,9.231,110.13,0.061,✔️,0.0,False,CPU
-15,🧠🔁,Neural Network,[TabM (tuned)](https://arxiv.org/abs/2410.24210),1636.0,+204/-148,0.429,18.37,6.9,8.836,804.65,0.063,✔️,0.0,False,GPU
-16,🧠⚡,Foundation Model,[RealTabPFN-2.5 (tuned)](https://arxiv.org/abs/2511.08667),1615.0,+195/-113,0.394,19.46,9.38,9.857,842.24,1.465,✔️,0.0,False,GPU
-17,🧠⚡,Foundation Model,[RealTabPFN-2.5 (default)](https://arxiv.org/abs/2511.08667),1590.0,+158/-118,0.371,20.79,11.49,9.518,2.3,0.896,✔️,0.0,False,GPU
-18,🌳,Tree-based,[LightGBM (tuned)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1588.0,+150/-86,0.323,20.89,13.55,10.578,86.85,0.078,✔️,0.0,False,CPU
-19,🧠⚡,Foundation Model,[TabICL (default)](https://arxiv.org/abs/2502.05564),1573.0,+171/-157,0.361,21.74,10.72,10.177,8.53,3.578,✔️,0.0,False,GPU
-20,🧠🔁,Neural Network,[ModernNCA (tuned)](https://arxiv.org/abs/2407.03257),1560.0,+121/-76,0.266,22.43,15.29,10.591,2139.17,0.349,✔️,0.0,False,GPU
-21,🧠⚡,Foundation Model,[TabDPT (tuned + ensembled)](https://arxiv.org/abs/2410.18164),1540.0,+173/-150,0.314,23.56,10.5,9.911,4860.88,475.791,✔️,0.0,False,GPU
-22,🧠🔁,Neural Network,[TorchMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1537.0,+101/-108,0.24,23.68,17.28,9.926,1156.69,1.558,✔️,0.0,False,CPU
-23,❓,Other,[xRFM (tuned + ensembled)](https://arxiv.org/abs/2508.10053),1494.0,+162/-120,0.209,26.09,16.43,11.475,572.82,1.935,✔️,0.0,False,GPU
-24,🌳,Tree-based,[EBM (tuned + ensembled)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1487.0,+134/-115,0.212,26.49,20.13,13.72,270.2,0.192,✔️,0.0,False,CPU
-25,🌳,Tree-based,[XGBoost (default)](https://arxiv.org/abs/1603.02754),1472.0,+133/-135,0.213,27.35,14.95,11.694,0.49,0.053,✔️,0.0,False,CPU
-26,❓,Other,[xRFM (tuned)](https://arxiv.org/abs/2508.10053),1464.0,+152/-127,0.182,27.85,20.57,13.423,572.82,0.109,✔️,0.0,False,GPU
-27,🧠🔁,Neural Network,[TabM (default)](https://arxiv.org/abs/2410.24210),1460.0,+157/-170,0.229,28.05,16.53,11.377,5.5,0.074,✔️,0.0,False,GPU
-28,🧠🔁,Neural Network,[RealMLP (default)](https://arxiv.org/abs/2407.04491),1441.0,+82/-52,0.11,29.14,26.15,11.644,6.41,0.247,✔️,0.0,False,GPU
-29,🧠🔁,Neural Network,[FastaiMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1434.0,+121/-145,0.143,29.56,22.46,12.192,371.59,2.386,✔️,0.0,False,CPU
-30,🧠��,Foundation Model,[BetaTabPFN (default)](https://arxiv.org/abs/2502.02527),1426.0,+116/-139,0.135,30.02,23.46,14.853,96.61,0.754,➖,0.0,False,GPU
-31,🌳,Tree-based,[EBM (tuned)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1413.0,+142/-106,0.112,30.77,26.55,14.845,270.2,0.015,✔️,0.0,False,CPU
-32,🧠🔁,Neural Network,[TorchMLP (tuned)](https://arxiv.org/abs/2003.06505),1390.0,+98/-117,0.081,32.07,25.92,12.235,1156.69,0.054,✔️,0.0,False,CPU
-33,🧠⚡,Foundation Model,[TabDPT (tuned)](https://arxiv.org/abs/2410.18164),1374.0,+136/-141,0.102,32.99,21.41,13.494,4860.88,42.641,✔️,0.0,False,GPU
-34,🌳,Tree-based,[EBM (default)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1368.0,+142/-120,0.091,33.36,28.93,16.624,1.07,0.018,✔️,0.0,False,CPU
-35,🌳,Tree-based,[LightGBM (default)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1355.0,+92/-123,0.083,34.1,30.86,13.259,0.29,0.033,✔️,0.0,False,CPU
-36,🌳,Tree-based,[RandomForest (tuned + ensembled)](https://link.springer.com/article/10.1023/A:1010933404324),1326.0,+60/-67,0.007,35.72,33.59,14.864,42.95,0.226,✔️,0.0,False,CPU
-37,🧠🔁,Neural Network,[ModernNCA (default)](https://arxiv.org/abs/2407.03257),1320.0,+90/-80,0.027,36.05,32.83,14.764,8.34,0.25,✔️,0.0,False,GPU
-38,🧠⚡,Foundation Model,[SAP-RPT-OSS (default)](https://arxiv.org/abs/2506.10707),1308.0,+79/-111,0.013,36.68,33.2,16.834,16.41,16.24,➖,0.0,False,GPU
-39,🌳,Tree-based,[RandomForest (tuned)](https://link.springer.com/article/10.1023/A:1010933404324),1288.0,+76/-78,0.017,37.78,34.01,15.783,42.95,0.021,✔️,0.0,False,CPU
-40,🌳,Tree-based,[ExtraTrees (tuned + ensembled)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1283.0,+68/-95,0.002,38.06,35.41,14.209,40.36,0.318,✔️,0.0,False,CPU
-41,🧠⚡,Foundation Model,[TabDPT (default)](https://arxiv.org/abs/2410.18164),1282.0,+181/-185,0.065,38.08,25.8,17.722,47.03,45.876,✔️,0.0,False,GPU
-42,🧠🔁,Neural Network,[FastaiMLP (tuned)](https://arxiv.org/abs/2003.06505),1282.0,+94/-124,0.041,38.14,32.24,15.655,371.59,0.102,✔️,0.0,False,CPU
-43,🧠🔁,Neural Network,[TorchMLP (default)](https://arxiv.org/abs/2003.06505),1234.0,+68/-94,0.0,40.62,38.79,15.854,1.86,0.046,✔️,0.0,False,CPU
-44,🌳,Tree-based,[ExtraTrees (tuned)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1224.0,+66/-81,0.0,41.16,39.25,15.818,40.36,0.028,✔️,0.0,False,CPU
-45,🧠🔁,Neural Network,[FastaiMLP (default)](https://arxiv.org/abs/2003.06505),1210.0,+133/-205,0.047,41.86,35.34,18.624,1.52,0.115,✔️,0.0,False,CPU
-46,📏,Baseline,[Linear (tuned + ensembled)](https://scikit-learn.org/stable/modules/linear_model.html),1148.0,+179/-229,0.017,44.88,39.29,24.71,43.64,0.085,✔️,0.0,False,CPU
-47,📏,Baseline,[KNN (tuned + ensembled)](https://scikit-learn.org/stable/modules/neighbors.html),1135.0,+104/-178,0.012,45.47,37.02,21.414,513.06,78.02,✔️,0.0,False,CPU
-48,🧠⚡,Foundation Model,[TabSTAR (tuned)](https://arxiv.org/abs/2505.18125),1135.0,+101/-121,0.0,45.49,43.6,24.018,3265.66,1.948,✔️,0.0,False,GPU
-49,🧠⚡,Foundation Model,[TabSTAR (tuned + ensembled)](https://arxiv.org/abs/2505.18125),1125.0,+98/-130,0.0,45.96,44.13,24.103,3265.66,5.38,✔️,0.0,False,GPU
-50,📏,Baseline,[Linear (tuned)](https://scikit-learn.org/stable/modules/linear_model.html),1104.0,+186/-216,0.008,46.87,42.26,25.652,43.64,0.022,✔️,0.0,False,CPU
-51,🌳,Tree-based,[PerpetualBooster (tuned + ensembled)](https://perpetual-ml.com/),1056.0,+134/-223,0.002,48.93,41.93,22.623,20.26,0.641,✔️,0.0,False,CPU
-52,🌳,Tree-based,[PerpetualBooster (tuned)](https://perpetual-ml.com/),1016.0,+132/-242,0.0,50.49,46.02,23.796,20.26,0.258,✔️,0.0,False,CPU
-53,🌳,Tree-based,[RandomForest (default)](https://link.springer.com/article/10.1023/A:1010933404324),1000.0,+95/-217,0.0,51.09,50.07,22.929,0.12,0.014,✔️,0.0,False,CPU
-54,📏,Baseline,[Linear (default)](https://scikit-learn.org/stable/modules/linear_model.html),988.0,+137/-244,0.0,51.52,49.21,27.323,0.22,0.024,✔️,0.0,False,CPU
-55,❓,Other,[xRFM (default)](https://arxiv.org/abs/2508.10053),974.0,+189/-390,0.025,52.01,44.1,29.18,2.62,0.186,✔️,0.0,False,GPU
-56,🧠⚡,Foundation Model,[TabSTAR (default)](https://arxiv.org/abs/2505.18125),954.0,+73/-132,0.0,52.7,51.87,29.853,101.07,2.021,✔️,0.0,False,GPU
-57,🌳,Tree-based,[ExtraTrees (default)](https://link.springer.com/article/10.1007/s10994-006-6226-1),934.0,+103/-238,0.0,53.35,52.69,24.795,0.1,0.021,✔️,0.0,False,CPU
-58,🧠⚡,Foundation Model,[TabFlex (default)](https://arxiv.org/abs/2506.05584),920.0,+89/-168,0.0,53.79,52.68,30.981,0.24,0.036,➖,0.0,False,GPU
-59,📏,Baseline,[KNN (tuned)](https://scikit-learn.org/stable/modules/neighbors.html),894.0,+58/-123,0.0,54.57,54.28,28.309,513.06,2.568,✔️,0.0,False,CPU
-60,🌳,Tree-based,[PerpetualBooster (default)](https://perpetual-ml.com/),820.0,+157/-291,0.0,56.51,55.44,32.967,1.21,0.03,✔️,0.0,False,CPU
-61,📏,Baseline,[KNN (default)](https://scikit-learn.org/stable/modules/neighbors.html),546.0,+108/-356,0.0,60.68,60.63,45.843,0.11,0.087,✔️,0.0,False,CPU

data/imputation_no/splits_all/tasks_binary/datasets_medium/winrate_matrix.png.zip

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data/imputation_no/splits_all/tasks_binary/datasets_small/website_leaderboard.csv

@@ -1,62 +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 1.5 (extreme, 4h)](https://arxiv.org/abs/2003.06505)",1595.0,+127/-92,0.722,9.33,3.11,6.133,368.12,6.655,✔️,0.0,False,GPU
-1,🧠⚡,Foundation Model,[TabICLv2 (default)](https://arxiv.org/abs/2602.11139),1577.0,+146/-87,0.757,10.02,3.15,8.27,5.02,0.381,✔️,0.0,False,GPU
-2,🧠⚡,Foundation Model,[TabPFN-2.6 (default)](https://arxiv.org/abs/2511.08667),1564.0,+112/-68,0.706,10.54,4.52,10.358,5.48,0.433,✔️,0.0,False,GPU
-3,🧠⚡,Foundation Model,[RealTabPFN-2.5 (default)](https://arxiv.org/abs/2511.08667),1561.0,+98/-48,0.676,10.66,5.79,10.893,5.96,0.554,✔️,0.0,False,GPU
-4,🧠⚡,Foundation Model,[RealTabPFN-2.5 (tuned + ensembled)](https://arxiv.org/abs/2511.08667),1555.0,+137/-67,0.659,10.93,4.25,10.348,2052.28,8.252,✔️,0.0,False,GPU
-5,🧠⚡,Foundation Model,[RealTabPFN-2.5 (tuned)](https://arxiv.org/abs/2511.08667),1530.0,+125/-57,0.626,12.05,4.99,11.048,2052.28,1.266,✔️,0.0,False,GPU
-6,🧠🔁,Neural Network,[RealMLP (tuned + ensembled)](https://arxiv.org/abs/2407.04491),1423.0,+72/-46,0.412,17.7,11.57,15.086,2950.72,15.595,✔️,0.0,False,GPU
-7,🧠🔁,Neural Network,[TabM (tuned + ensembled)](https://arxiv.org/abs/2410.24210),1414.0,+81/-54,0.391,18.26,10.13,15.312,2457.54,1.658,✔️,0.0,False,GPU
-8,📊,Reference Pipeline,"[AutoGluon 1.4 (best, 4h)](https://arxiv.org/abs/2003.06505)",1405.0,+88/-65,0.381,18.82,11.44,14.904,1921.63,1.718,✔️,0.0,False,CPU
-9,🧠⚡,Foundation Model,[TabDPT (tuned + ensembled)](https://arxiv.org/abs/2410.18164),1392.0,+78/-69,0.392,19.62,7.52,13.174,5351.68,268.579,✔️,0.0,False,GPU
-10,🧠⚡,Foundation Model,[BetaTabPFN (default)](https://arxiv.org/abs/2502.02527),1383.0,+82/-63,0.382,20.16,10.34,16.816,317.91,1.983,➖,0.0,False,GPU
-11,🌳,Tree-based,[LightGBM (tuned + ensembled)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1361.0,+48/-38,0.271,21.58,15.12,16.763,512.57,1.18,✔️,0.0,False,CPU
-12,🧠⚡,Foundation Model,[TabDPT (tuned)](https://arxiv.org/abs/2410.18164),1361.0,+83/-71,0.338,21.6,7.76,13.855,5351.68,37.621,✔️,0.0,False,GPU
-13,🧠🔁,Neural Network,[TabM (tuned)](https://arxiv.org/abs/2410.24210),1355.0,+87/-59,0.319,21.98,12.1,16.252,2457.54,0.178,✔️,0.0,False,GPU
-14,🌳,Tree-based,[LightGBM (tuned)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1330.0,+42/-35,0.212,23.69,17.15,17.19,512.57,0.243,✔️,0.0,False,CPU
-15,🧠🔁,Neural Network,[RealMLP (tuned)](https://arxiv.org/abs/2407.04491),1328.0,+75/-59,0.248,23.83,12.66,16.835,2950.72,1.225,✔️,0.0,False,GPU
-16,🧠🔁,Neural Network,[ModernNCA (tuned)](https://arxiv.org/abs/2407.03257),1314.0,+86/-64,0.234,24.79,11.78,17.108,4806.04,0.512,✔️,0.0,False,GPU
-17,🌳,Tree-based,[CatBoost (tuned + ensembled)](https://arxiv.org/abs/1706.09516),1309.0,+50/-44,0.208,25.13,17.59,17.843,1096.5,0.584,✔️,0.0,False,CPU
-18,🌳,Tree-based,[CatBoost (default)](https://arxiv.org/abs/1706.09516),1306.0,+63/-45,0.233,25.28,16.65,17.794,4.81,0.08,✔️,0.0,False,CPU
-19,🌳,Tree-based,[CatBoost (tuned)](https://arxiv.org/abs/1706.09516),1304.0,+52/-44,0.208,25.45,18.45,17.872,1096.5,0.074,✔️,0.0,False,CPU
-20,🧠⚡,Foundation Model,[SAP-RPT-OSS (default)](https://arxiv.org/abs/2506.10707),1303.0,+71/-74,0.296,25.51,10.43,18.732,9.05,1.763,➖,0.0,False,GPU
-21,🧠⚡,Foundation Model,[TabDPT (default)](https://arxiv.org/abs/2410.18164),1289.0,+86/-75,0.264,26.47,10.79,16.228,51.83,43.615,✔️,0.0,False,GPU
-22,🌳,Tree-based,[XGBoost (tuned + ensembled)](https://arxiv.org/abs/1603.02754),1286.0,+45/-42,0.187,26.72,18.94,18.188,693.49,1.398,✔️,0.0,False,CPU
-23,❓,Other,[xRFM (tuned + ensembled)](https://arxiv.org/abs/2508.10053),1285.0,+48/-65,0.194,26.81,16.74,17.817,711.84,2.983,✔️,0.0,False,GPU
-24,🧠🔁,Neural Network,[TabM (default)](https://arxiv.org/abs/2410.24210),1278.0,+63/-58,0.231,27.27,15.74,18.477,10.08,0.152,✔️,0.0,False,GPU
-25,🧠🔁,Neural Network,[ModernNCA (tuned + ensembled)](https://arxiv.org/abs/2407.03257),1269.0,+108/-105,0.28,27.9,12.36,18.4,4806.04,8.461,✔️,0.0,False,GPU
-26,🌳,Tree-based,[EBM (tuned + ensembled)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1264.0,+44/-45,0.129,28.25,19.09,19.148,1634.54,0.422,✔️,0.0,False,CPU
-27,🌳,Tree-based,[XGBoost (tuned)](https://arxiv.org/abs/1603.02754),1263.0,+40/-33,0.144,28.31,20.52,18.543,693.49,0.194,✔️,0.0,False,CPU
-28,🧠🔁,Neural Network,[ModernNCA (default)](https://arxiv.org/abs/2407.03257),1262.0,+58/-60,0.2,28.4,14.37,19.459,14.37,0.334,✔️,0.0,False,GPU
-29,❓,Other,[xRFM (tuned)](https://arxiv.org/abs/2508.10053),1259.0,+50/-60,0.157,28.61,15.92,18.68,711.84,0.162,✔️,0.0,False,GPU
-30,🧠🔁,Neural Network,[TorchMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1258.0,+79/-54,0.166,28.66,19.89,18.003,2665.36,2.619,✔️,0.0,False,CPU
-31,🌳,Tree-based,[EBM (tuned)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1242.0,+46/-46,0.096,29.81,20.1,19.672,1634.54,0.054,✔️,0.0,False,CPU
-32,🧠🔁,Neural Network,[FastaiMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1223.0,+62/-75,0.141,31.17,18.45,19.415,644.55,5.974,✔️,0.0,False,CPU
-33,🌳,Tree-based,[EBM (default)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1222.0,+48/-51,0.111,31.29,19.29,20.184,7.32,0.054,✔️,0.0,False,CPU
-34,🧠🔁,Neural Network,[RealMLP (default)](https://arxiv.org/abs/2407.04491),1221.0,+51/-46,0.115,31.33,20.3,19.181,10.89,2.249,✔️,0.0,False,GPU
-35,🧠🔁,Neural Network,[TorchMLP (tuned)](https://arxiv.org/abs/2003.06505),1188.0,+67/-48,0.089,33.71,23.68,20.029,2665.36,0.143,✔️,0.0,False,CPU
-36,🧠⚡,Foundation Model,[TabSTAR (tuned)](https://arxiv.org/abs/2505.18125),1184.0,+116/-91,0.245,33.97,7.9,22.137,34059.64,3.91,✔️,0.0,False,GPU
-37,🧠⚡,Foundation Model,[TabSTAR (tuned + ensembled)](https://arxiv.org/abs/2505.18125),1177.0,+118/-90,0.236,34.47,7.85,22.294,34059.64,18.819,✔️,0.0,False,GPU
-38,🧠🔁,Neural Network,[FastaiMLP (tuned)](https://arxiv.org/abs/2003.06505),1174.0,+61/-79,0.074,34.7,20.61,20.753,644.55,0.398,✔️,0.0,False,CPU
-39,🌳,Tree-based,[XGBoost (default)](https://arxiv.org/abs/1603.02754),1163.0,+56/-54,0.071,35.48,28.47,21.199,1.94,0.121,✔️,0.0,False,CPU
-40,🌳,Tree-based,[ExtraTrees (tuned + ensembled)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1162.0,+59/-73,0.067,35.5,25.04,21.931,203.15,0.968,✔️,0.0,False,CPU
-41,🌳,Tree-based,[LightGBM (default)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1137.0,+44/-51,0.042,37.26,30.93,21.558,2.44,0.121,✔️,0.0,False,CPU
-42,🌳,Tree-based,[ExtraTrees (tuned)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1131.0,+55/-76,0.041,37.65,27.16,22.836,203.15,0.091,✔️,0.0,False,CPU
-43,🌳,Tree-based,[PerpetualBooster (tuned + ensembled)](https://perpetual-ml.com/),1113.0,+58/-70,0.066,38.86,25.07,23.572,218.34,0.904,✔️,0.0,False,CPU
-44,🌳,Tree-based,[RandomForest (tuned + ensembled)](https://link.springer.com/article/10.1023/A:1010933404324),1108.0,+55/-84,0.048,39.24,25.78,23.706,484.22,1.025,✔️,0.0,False,CPU
-45,🧠⚡,Foundation Model,[TabSTAR (default)](https://arxiv.org/abs/2505.18125),1088.0,+126/-107,0.158,40.51,13.37,26.73,460.02,6.641,✔️,0.0,False,GPU
-46,🌳,Tree-based,[PerpetualBooster (tuned)](https://perpetual-ml.com/),1077.0,+53/-76,0.041,41.26,27.25,25.076,218.34,0.322,✔️,0.0,False,CPU
-47,🌳,Tree-based,[RandomForest (tuned)](https://link.springer.com/article/10.1023/A:1010933404324),1075.0,+46/-83,0.026,41.39,30.08,24.298,484.22,0.086,✔️,0.0,False,CPU
-48,🧠⚡,Foundation Model,[TabFlex (default)](https://arxiv.org/abs/2506.05584),1075.0,+104/-126,0.119,41.4,22.93,25.463,1.3,0.15,➖,0.0,False,GPU
-49,🧠🔁,Neural Network,[TorchMLP (default)](https://arxiv.org/abs/2003.06505),1061.0,+62/-79,0.034,42.29,29.13,24.221,9.39,0.13,✔️,0.0,False,CPU
-50,📏,Baseline,[Linear (tuned + ensembled)](https://scikit-learn.org/stable/modules/linear_model.html),1022.0,+92/-130,0.072,44.61,26.99,29.811,278.97,0.873,✔️,0.0,False,CPU
-51,🧠🔁,Neural Network,[FastaiMLP (default)](https://arxiv.org/abs/2003.06505),1019.0,+72/-83,0.018,44.82,27.03,24.922,2.97,0.388,✔️,0.0,False,CPU
-52,📏,Baseline,[Linear (tuned)](https://scikit-learn.org/stable/modules/linear_model.html),1002.0,+97/-128,0.051,45.79,28.26,30.343,278.97,0.103,✔️,0.0,False,CPU
-53,🌳,Tree-based,[RandomForest (default)](https://link.springer.com/article/10.1023/A:1010933404324),1000.0,+55/-114,0.02,45.89,38.69,27.136,0.42,0.041,✔️,0.0,False,CPU
-54,📏,Baseline,[KNN (tuned + ensembled)](https://scikit-learn.org/stable/modules/neighbors.html),990.0,+78/-112,0.019,46.46,32.59,27.406,90.71,1.623,✔️,0.0,False,CPU
-55,❓,Other,[xRFM (default)](https://arxiv.org/abs/2508.10053),988.0,+81/-106,0.026,46.57,38.99,28.03,3.71,0.919,✔️,0.0,False,GPU
-56,🌳,Tree-based,[PerpetualBooster (default)](https://perpetual-ml.com/),974.0,+58/-64,0.0,47.31,32.07,27.396,30.82,0.029,✔️,0.0,False,CPU
-57,🌳,Tree-based,[ExtraTrees (default)](https://link.springer.com/article/10.1007/s10994-006-6226-1),965.0,+75/-126,0.013,47.77,41.41,28.255,0.33,0.043,✔️,0.0,False,CPU
-58,📏,Baseline,[Linear (default)](https://scikit-learn.org/stable/modules/linear_model.html),959.0,+91/-158,0.033,48.09,30.78,32.314,1.48,0.139,✔️,0.0,False,CPU
-59,📏,Baseline,[KNN (tuned)](https://scikit-learn.org/stable/modules/neighbors.html),925.0,+81/-137,0.004,49.74,33.89,31.593,90.71,0.125,✔️,0.0,False,CPU
-60,📏,Baseline,[KNN (default)](https://scikit-learn.org/stable/modules/neighbors.html),632.0,+105/-188,0.0,58.37,52.33,44.475,0.22,0.02,✔️,0.0,False,CPU

data/imputation_no/splits_all/tasks_binary/datasets_small/winrate_matrix.png.zip

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data/imputation_no/splits_all/tasks_classification/datasets_all/website_leaderboard.csv

@@ -1,62 +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 1.5 (extreme, 4h)](https://arxiv.org/abs/2003.06505)",1689.0,+107/-85,0.791,7.43,2.82,5.82,267.31,3.983,✔️,0.0,False,GPU
-1,🧠⚡,Foundation Model,[TabPFN-2.6 (default)](https://arxiv.org/abs/2511.08667),1604.0,+70/-69,0.69,10.48,5.02,9.903,5.17,0.539,✔️,0.0,False,GPU
-2,🧠⚡,Foundation Model,[TabICLv2 (default)](https://arxiv.org/abs/2602.11139),1589.0,+94/-76,0.701,11.12,3.28,8.535,4.15,0.412,✔️,0.0,False,GPU
-3,🧠⚡,Foundation Model,[RealTabPFN-2.5 (tuned + ensembled)](https://arxiv.org/abs/2511.08667),1578.0,+78/-76,0.644,11.6,4.22,9.634,2046.25,8.976,✔️,0.0,False,GPU
-4,🧠⚡,Foundation Model,[RealTabPFN-2.5 (tuned)](https://arxiv.org/abs/2511.08667),1553.0,+74/-68,0.614,12.73,5.14,10.411,2046.25,1.329,✔️,0.0,False,GPU
-5,🧠⚡,Foundation Model,[RealTabPFN-2.5 (default)](https://arxiv.org/abs/2511.08667),1540.0,+68/-62,0.603,13.38,6.41,10.59,5.76,0.794,✔️,0.0,False,GPU
-6,📊,Reference Pipeline,"[AutoGluon 1.4 (best, 4h)](https://arxiv.org/abs/2003.06505)",1502.0,+74/-57,0.496,15.31,5.8,12.294,1684.49,1.97,✔️,0.0,False,CPU
-7,🧠🔁,Neural Network,[RealMLP (tuned + ensembled)](https://arxiv.org/abs/2407.04491),1488.0,+62/-45,0.467,16.08,9.95,12.94,2879.46,12.49,✔️,0.0,False,GPU
-8,🧠🔁,Neural Network,[TabM (tuned + ensembled)](https://arxiv.org/abs/2410.24210),1462.0,+71/-50,0.422,17.55,8.91,14.175,2466.21,1.502,✔️,0.0,False,GPU
-9,🌳,Tree-based,[LightGBM (tuned + ensembled)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1431.0,+52/-36,0.352,19.37,13.19,15.0,382.05,1.488,✔️,0.0,False,CPU
-10,🧠🔁,Neural Network,[TabM (tuned)](https://arxiv.org/abs/2410.24210),1409.0,+65/-60,0.36,20.71,9.99,15.022,2466.21,0.176,✔️,0.0,False,GPU
-11,🧠⚡,Foundation Model,[TabDPT (tuned + ensembled)](https://arxiv.org/abs/2410.18164),1409.0,+80/-55,0.383,20.72,8.44,13.819,4940.61,307.751,✔️,0.0,False,GPU
-12,🧠🔁,Neural Network,[RealMLP (tuned)](https://arxiv.org/abs/2407.04491),1408.0,+55/-48,0.336,20.76,11.27,14.469,2879.46,0.598,✔️,0.0,False,GPU
-13,🌳,Tree-based,[CatBoost (tuned + ensembled)](https://arxiv.org/abs/1706.09516),1408.0,+56/-47,0.341,20.8,12.29,14.643,1372.94,0.556,✔️,0.0,False,CPU
-14,🌳,Tree-based,[CatBoost (tuned)](https://arxiv.org/abs/1706.09516),1400.0,+56/-45,0.332,21.33,11.65,14.866,1372.94,0.074,✔️,0.0,False,CPU
-15,🌳,Tree-based,[LightGBM (tuned)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1388.0,+42/-35,0.275,22.05,15.73,15.704,382.05,0.254,✔️,0.0,False,CPU
-16,🌳,Tree-based,[XGBoost (tuned + ensembled)](https://arxiv.org/abs/1603.02754),1378.0,+52/-48,0.288,22.71,13.8,15.849,685.87,1.455,✔️,0.0,False,CPU
-17,🌳,Tree-based,[CatBoost (default)](https://arxiv.org/abs/1706.09516),1377.0,+47/-44,0.315,22.74,12.36,15.347,5.72,0.076,✔️,0.0,False,CPU
-18,🧠⚡,Foundation Model,[BetaTabPFN (default)](https://arxiv.org/abs/2502.02527),1370.0,+50/-49,0.314,23.21,13.22,17.241,282.72,1.886,➖,0.0,False,GPU
-19,🧠🔁,Neural Network,[ModernNCA (tuned)](https://arxiv.org/abs/2407.03257),1362.0,+57/-40,0.247,23.75,12.54,15.784,4879.89,0.525,✔️,0.0,False,GPU
-20,🧠🔁,Neural Network,[ModernNCA (tuned + ensembled)](https://arxiv.org/abs/2407.03257),1360.0,+87/-81,0.33,23.91,11.77,15.764,4879.89,8.744,✔️,0.0,False,GPU
-21,🌳,Tree-based,[XGBoost (tuned)](https://arxiv.org/abs/1603.02754),1353.0,+48/-42,0.241,24.37,17.42,16.22,685.87,0.205,✔️,0.0,False,CPU
-22,🧠⚡,Foundation Model,[TabDPT (tuned)](https://arxiv.org/abs/2410.18164),1349.0,+65/-57,0.286,24.62,9.81,15.339,4940.61,41.606,✔️,0.0,False,GPU
-23,❓,Other,[xRFM (tuned + ensembled)](https://arxiv.org/abs/2508.10053),1329.0,+44/-47,0.221,25.94,16.35,16.912,934.1,3.063,✔️,0.0,False,GPU
-24,🌳,Tree-based,[EBM (tuned + ensembled)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1313.0,+39/-34,0.175,26.98,19.27,18.003,2686.11,0.47,✔️,0.0,False,CPU
-25,🧠🔁,Neural Network,[TabM (default)](https://arxiv.org/abs/2410.24210),1312.0,+57/-50,0.243,27.09,16.01,17.45,10.21,0.138,✔️,0.0,False,GPU
-26,🧠🔁,Neural Network,[TorchMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1310.0,+44/-41,0.185,27.21,19.31,16.776,2389.22,2.158,✔️,0.0,False,CPU
-27,🧠⚡,Foundation Model,[SAP-RPT-OSS (default)](https://arxiv.org/abs/2506.10707),1297.0,+62/-73,0.254,28.09,10.25,18.354,13.7,2.033,➖,0.0,False,GPU
-28,❓,Other,[xRFM (tuned)](https://arxiv.org/abs/2508.10053),1290.0,+52/-52,0.168,28.6,17.08,18.334,934.1,0.169,✔️,0.0,False,GPU
-29,🌳,Tree-based,[EBM (tuned)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1277.0,+40/-39,0.121,29.43,21.47,18.716,2686.11,0.054,✔️,0.0,False,CPU
-30,🧠��,Foundation Model,[TabDPT (default)](https://arxiv.org/abs/2410.18164),1269.0,+61/-56,0.208,30.0,12.29,18.204,49.21,43.824,✔️,0.0,False,GPU
-31,🧠🔁,Neural Network,[FastaiMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1260.0,+60/-62,0.166,30.61,17.63,18.823,618.9,4.766,✔️,0.0,False,CPU
-32,🌳,Tree-based,[EBM (default)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1250.0,+41/-43,0.119,31.27,21.67,19.779,6.86,0.057,✔️,0.0,False,CPU
-33,🧠🔁,Neural Network,[ModernNCA (default)](https://arxiv.org/abs/2407.03257),1249.0,+46/-44,0.126,31.39,18.75,19.733,14.78,0.346,✔️,0.0,False,GPU
-34,🧠🔁,Neural Network,[RealMLP (default)](https://arxiv.org/abs/2407.04491),1241.0,+38/-34,0.089,31.91,23.47,18.973,10.47,1.707,✔️,0.0,False,GPU
-35,🌳,Tree-based,[XGBoost (default)](https://arxiv.org/abs/1603.02754),1230.0,+47/-50,0.106,32.63,22.55,18.957,1.77,0.117,✔️,0.0,False,CPU
-36,🧠🔁,Neural Network,[TorchMLP (tuned)](https://arxiv.org/abs/2003.06505),1228.0,+45/-36,0.098,32.8,23.87,18.902,2389.22,0.152,✔️,0.0,False,CPU
-37,🌳,Tree-based,[ExtraTrees (tuned + ensembled)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1207.0,+53/-52,0.094,34.18,22.52,20.247,189.76,0.743,✔️,0.0,False,CPU
-38,🧠🔁,Neural Network,[FastaiMLP (tuned)](https://arxiv.org/abs/2003.06505),1191.0,+53/-58,0.08,35.25,22.21,20.612,618.9,0.298,✔️,0.0,False,CPU
-39,🌳,Tree-based,[LightGBM (default)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1190.0,+48/-40,0.075,35.34,29.31,19.944,1.79,0.12,✔️,0.0,False,CPU
-40,🌳,Tree-based,[RandomForest (tuned + ensembled)](https://link.springer.com/article/10.1023/A:1010933404324),1185.0,+61/-57,0.091,35.7,21.7,21.247,323.74,0.743,✔️,0.0,False,CPU
-41,🌳,Tree-based,[ExtraTrees (tuned)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1170.0,+55/-52,0.068,36.7,23.15,21.427,189.76,0.079,✔️,0.0,False,CPU
-42,🌳,Tree-based,[RandomForest (tuned)](https://link.springer.com/article/10.1023/A:1010933404324),1149.0,+58/-57,0.069,38.04,22.02,22.081,323.74,0.076,✔️,0.0,False,CPU
-43,🧠⚡,Foundation Model,[TabSTAR (tuned)](https://arxiv.org/abs/2505.18125),1136.0,+70/-81,0.135,38.88,12.43,24.546,29479.47,4.09,✔️,0.0,False,GPU
-44,🧠⚡,Foundation Model,[TabSTAR (tuned + ensembled)](https://arxiv.org/abs/2505.18125),1130.0,+69/-84,0.131,39.23,12.33,24.631,29479.47,18.318,✔️,0.0,False,GPU
-45,🧠🔁,Neural Network,[TorchMLP (default)](https://arxiv.org/abs/2003.06505),1090.0,+41/-50,0.019,41.72,31.77,23.336,6.83,0.147,✔️,0.0,False,CPU
-46,🌳,Tree-based,[PerpetualBooster (tuned + ensembled)](https://perpetual-ml.com/),1062.0,+55/-60,0.037,43.36,30.58,28.957,187.0,0.955,✔️,0.0,False,CPU
-47,🧠🔁,Neural Network,[FastaiMLP (default)](https://arxiv.org/abs/2003.06505),1040.0,+62/-66,0.024,44.58,31.32,25.558,2.91,0.368,✔️,0.0,False,CPU
-48,📏,Baseline,[Linear (tuned + ensembled)](https://scikit-learn.org/stable/modules/linear_model.html),1035.0,+85/-84,0.043,44.91,31.87,30.889,252.58,0.528,✔️,0.0,False,CPU
-49,🌳,Tree-based,[PerpetualBooster (tuned)](https://perpetual-ml.com/),1025.0,+57/-60,0.022,45.43,31.58,30.455,187.0,0.338,✔️,0.0,False,CPU
-50,🧠⚡,Foundation Model,[TabSTAR (default)](https://arxiv.org/abs/2505.18125),1024.0,+78/-102,0.087,45.52,19.93,30.312,439.44,5.886,✔️,0.0,False,GPU
-51,📏,Baseline,[KNN (tuned + ensembled)](https://scikit-learn.org/stable/modules/neighbors.html),1017.0,+68/-92,0.027,45.85,31.01,28.592,139.84,3.615,✔️,0.0,False,CPU
-52,🧠⚡,Foundation Model,[TabFlex (default)](https://arxiv.org/abs/2506.05584),1012.0,+80/-94,0.066,46.13,30.44,29.832,1.11,0.189,➖,0.0,False,GPU
-53,📏,Baseline,[Linear (tuned)](https://scikit-learn.org/stable/modules/linear_model.html),1008.0,+84/-84,0.03,46.35,33.47,31.597,252.58,0.089,✔️,0.0,False,CPU
-54,❓,Other,[xRFM (default)](https://arxiv.org/abs/2508.10053),1006.0,+69/-87,0.032,46.46,38.94,28.769,3.61,0.939,✔️,0.0,False,GPU
-55,🌳,Tree-based,[RandomForest (default)](https://link.springer.com/article/10.1023/A:1010933404324),1000.0,+57/-58,0.011,46.75,41.31,28.033,0.38,0.037,✔️,0.0,False,CPU
-56,🌳,Tree-based,[ExtraTrees (default)](https://link.springer.com/article/10.1007/s10994-006-6226-1),950.0,+72/-71,0.007,49.18,44.43,30.143,0.25,0.041,✔️,0.0,False,CPU
-57,📏,Baseline,[Linear (default)](https://scikit-learn.org/stable/modules/linear_model.html),930.0,+87/-98,0.019,50.05,37.38,34.335,1.29,0.131,✔️,0.0,False,CPU
-58,🌳,Tree-based,[PerpetualBooster (default)](https://perpetual-ml.com/),921.0,+57/-75,0.0,50.43,34.93,34.834,26.06,0.041,✔️,0.0,False,CPU
-59,📏,Baseline,[KNN (tuned)](https://scikit-learn.org/stable/modules/neighbors.html),902.0,+87/-105,0.012,51.23,38.39,34.68,139.84,0.193,✔️,0.0,False,CPU
-60,📏,Baseline,[KNN (default)](https://scikit-learn.org/stable/modules/neighbors.html),582.0,+99/-106,0.0,59.08,55.47,50.328,0.18,0.029,✔️,0.0,False,CPU