diff --git a/data/imputation_no/splits_all/tasks_all/datasets_all/leaderboard_overview_explorer.html b/data/imputation_no/splits_all/tasks_all/datasets_all/leaderboard_overview_explorer.html index f39ece7fc68a9dbd98f1880445c5b335222c6fce..f9bb539ba8d30e8363e7735e581c03b21f0020eb 100644 --- a/data/imputation_no/splits_all/tasks_all/datasets_all/leaderboard_overview_explorer.html +++ b/data/imputation_no/splits_all/tasks_all/datasets_all/leaderboard_overview_explorer.html @@ -340,7 +340,7 @@ (function () { "use strict"; const CONFIG = {"title": null, "metrics": [{"key": "elo", "label": "Elo", "axisLabel": "Elo \u2014 higher is better", "lowerBetter": false, "fromZero": false, "decimals": 0, "suffix": "", "ci": {"lo": "elo_lo", "hi": "elo_hi"}}, {"key": "imp", "label": "Improvability (%)", "axisLabel": "Improvability (%) \u2014 lower is better", "lowerBetter": true, "fromZero": true, "decimals": 1, "suffix": "%"}, {"key": "score", "label": "Score", "axisLabel": "Score \u2014 higher is better", "lowerBetter": false, "fromZero": true, "decimals": 3, "suffix": ""}, {"key": "rank", "label": "Average rank", "axisLabel": "Average rank \u2014 lower is better", "lowerBetter": true, "fromZero": true, "decimals": 2, "suffix": ""}, {"key": "hrank", "label": "Harmonic rank", "axisLabel": "Harmonic rank \u2014 lower is better", "lowerBetter": true, "fromZero": true, "decimals": 2, "suffix": ""}], "rankMetric": "elo"}; - const POINTS = [{"method":"TabFM","variant":"Default","family":"Foundation Model","url":"https:\/\/github.com\/google-research\/tabfm","reference":false,"elo":1792.0,"imp":4.074,"score":0.889,"rank":6.17,"hrank":1.72,"elo_hi":1907.0,"elo_lo":1682.0,"imputed_pct":0.0,"imputed":false},{"method":"AutoGluon 1.5 (extreme, 4h)","variant":"","family":"Reference Pipeline","url":"https:\/\/arxiv.org\/abs\/2003.06505","reference":true,"elo":1691.0,"imp":7.979,"score":0.662,"rank":9.39,"hrank":4.03,"elo_hi":1773.0,"elo_lo":1623.0,"imputed_pct":0.0,"imputed":false},{"method":"TabPFN-3","variant":"Default","family":"Foundation Model","url":"https:\/\/arxiv.org\/abs\/2605.13986","reference":false,"elo":1665.0,"imp":9.328,"score":0.67,"rank":10.41,"hrank":4.06,"elo_hi":1745.0,"elo_lo":1604.0,"imputed_pct":0.0,"imputed":false},{"method":"TabPFN-2.6","variant":"Default","family":"Foundation Model","url":"https:\/\/arxiv.org\/abs\/2511.08667","reference":false,"elo":1620.0,"imp":10.751,"score":0.583,"rank":12.42,"hrank":7.14,"elo_hi":1691.0,"elo_lo":1569.0,"imputed_pct":0.0,"imputed":false},{"method":"RealTabPFN-2.5","variant":"Tuned + Ens.","family":"Foundation Model","url":"https:\/\/arxiv.org\/abs\/2511.08667","reference":false,"elo":1595.0,"imp":10.427,"score":0.549,"rank":13.64,"hrank":6.22,"elo_hi":1669.0,"elo_lo":1539.0,"imputed_pct":0.0,"imputed":false},{"method":"TabICLv2","variant":"Default","family":"Foundation Model","url":"https:\/\/arxiv.org\/abs\/2602.11139","reference":false,"elo":1594.0,"imp":10.175,"score":0.606,"rank":13.71,"hrank":4.97,"elo_hi":1667.0,"elo_lo":1533.0,"imputed_pct":0.0,"imputed":false},{"method":"RealTabPFN-2.5","variant":"Tuned","family":"Foundation Model","url":"https:\/\/arxiv.org\/abs\/2511.08667","reference":false,"elo":1554.0,"imp":11.116,"score":0.504,"rank":15.81,"hrank":7.33,"elo_hi":1619.0,"elo_lo":1499.0,"imputed_pct":0.0,"imputed":false},{"method":"RealTabPFN-2.5","variant":"Default","family":"Foundation Model","url":"https:\/\/arxiv.org\/abs\/2511.08667","reference":false,"elo":1524.0,"imp":11.66,"score":0.474,"rank":17.55,"hrank":9.62,"elo_hi":1586.0,"elo_lo":1480.0,"imputed_pct":0.0,"imputed":false},{"method":"AutoGluon 1.4 (best, 4h)","variant":"","family":"Reference Pipeline","url":"https:\/\/arxiv.org\/abs\/2003.06505","reference":true,"elo":1514.0,"imp":12.789,"score":0.401,"rank":18.2,"hrank":8.44,"elo_hi":1567.0,"elo_lo":1468.0,"imputed_pct":0.0,"imputed":false},{"method":"RealMLP","variant":"Tuned + Ens.","family":"Neural Network","url":"https:\/\/arxiv.org\/abs\/2407.04491","reference":false,"elo":1508.0,"imp":12.881,"score":0.405,"rank":18.55,"hrank":11.52,"elo_hi":1562.0,"elo_lo":1462.0,"imputed_pct":0.0,"imputed":false},{"method":"TabDPT-Turbo","variant":"Default","family":"Foundation Model","url":"https:\/\/openreview.net\/pdf?id=Y00pwFyrHR","reference":false,"elo":1459.0,"imp":14.0,"score":0.38,"rank":21.7,"hrank":9.59,"elo_hi":1514.0,"elo_lo":1408.0,"imputed_pct":0.0,"imputed":false},{"method":"TabDPT","variant":"Tuned + Ens.","family":"Foundation Model","url":"https:\/\/arxiv.org\/abs\/2410.18164","reference":false,"elo":1458.0,"imp":13.788,"score":0.375,"rank":21.81,"hrank":8.16,"elo_hi":1518.0,"elo_lo":1407.0,"imputed_pct":0.0,"imputed":false},{"method":"TabM","variant":"Tuned + Ens.","family":"Neural Network","url":"https:\/\/arxiv.org\/abs\/2410.24210","reference":false,"elo":1450.0,"imp":14.081,"score":0.315,"rank":22.33,"hrank":12.48,"elo_hi":1502.0,"elo_lo":1407.0,"imputed_pct":0.0,"imputed":false},{"method":"LightGBM","variant":"Tuned + Ens.","family":"Tree-based","url":"https:\/\/papers.nips.cc\/paper_files\/paper\/2017\/hash\/6449f44a102fde848669bdd9eb6b76fa-Abstract.html","reference":false,"elo":1433.0,"imp":15.033,"score":0.262,"rank":23.53,"hrank":17.2,"elo_hi":1466.0,"elo_lo":1402.0,"imputed_pct":0.0,"imputed":false},{"method":"RealMLP","variant":"Tuned","family":"Neural Network","url":"https:\/\/arxiv.org\/abs\/2407.04491","reference":false,"elo":1426.0,"imp":14.202,"score":0.295,"rank":23.99,"hrank":13.67,"elo_hi":1474.0,"elo_lo":1381.0,"imputed_pct":0.0,"imputed":false},{"method":"CatBoost","variant":"Tuned + Ens.","family":"Tree-based","url":"https:\/\/arxiv.org\/abs\/1706.09516","reference":false,"elo":1422.0,"imp":14.656,"score":0.261,"rank":24.34,"hrank":14.77,"elo_hi":1461.0,"elo_lo":1384.0,"imputed_pct":0.0,"imputed":false},{"method":"CatBoost","variant":"Tuned","family":"Tree-based","url":"https:\/\/arxiv.org\/abs\/1706.09516","reference":false,"elo":1408.0,"imp":14.885,"score":0.245,"rank":25.3,"hrank":15.31,"elo_hi":1446.0,"elo_lo":1365.0,"imputed_pct":0.0,"imputed":false},{"method":"iLTM","variant":"Tuned + Ens.","family":"Foundation Model","url":"https:\/\/arxiv.org\/abs\/2511.15941","reference":false,"elo":1404.0,"imp":15.304,"score":0.235,"rank":25.56,"hrank":17.78,"elo_hi":1444.0,"elo_lo":1362.0,"imputed_pct":0.0,"imputed":false},{"method":"TabDPT","variant":"Tuned","family":"Foundation Model","url":"https:\/\/arxiv.org\/abs\/2410.18164","reference":false,"elo":1403.0,"imp":14.936,"score":0.316,"rank":25.69,"hrank":11.3,"elo_hi":1462.0,"elo_lo":1347.0,"imputed_pct":0.0,"imputed":false},{"method":"TabM","variant":"Tuned","family":"Neural Network","url":"https:\/\/arxiv.org\/abs\/2410.24210","reference":false,"elo":1394.0,"imp":14.952,"score":0.251,"rank":26.35,"hrank":14.47,"elo_hi":1442.0,"elo_lo":1352.0,"imputed_pct":0.0,"imputed":false},{"method":"ModernNCA","variant":"Tuned + Ens.","family":"Neural Network","url":"https:\/\/arxiv.org\/abs\/2407.03257","reference":false,"elo":1389.0,"imp":15.599,"score":0.277,"rank":26.66,"hrank":12.79,"elo_hi":1462.0,"elo_lo":1337.0,"imputed_pct":0.0,"imputed":false},{"method":"LightGBM","variant":"Tuned","family":"Tree-based","url":"https:\/\/papers.nips.cc\/paper_files\/paper\/2017\/hash\/6449f44a102fde848669bdd9eb6b76fa-Abstract.html","reference":false,"elo":1386.0,"imp":15.688,"score":0.194,"rank":26.93,"hrank":20.71,"elo_hi":1415.0,"elo_lo":1357.0,"imputed_pct":0.0,"imputed":false},{"method":"CatBoost","variant":"Default","family":"Tree-based","url":"https:\/\/arxiv.org\/abs\/1706.09516","reference":false,"elo":1378.0,"imp":15.524,"score":0.224,"rank":27.47,"hrank":16.11,"elo_hi":1418.0,"elo_lo":1336.0,"imputed_pct":0.0,"imputed":false},{"method":"XGBoost","variant":"Tuned + Ens.","family":"Tree-based","url":"https:\/\/arxiv.org\/abs\/1603.02754","reference":false,"elo":1375.0,"imp":15.754,"score":0.198,"rank":27.73,"hrank":19.98,"elo_hi":1406.0,"elo_lo":1342.0,"imputed_pct":0.0,"imputed":false},{"method":"LimiX","variant":"Default","family":"Foundation Model","url":"https:\/\/arxiv.org\/abs\/2509.03505","reference":false,"elo":1363.0,"imp":15.526,"score":0.299,"rank":28.66,"hrank":9.55,"elo_hi":1441.0,"elo_lo":1304.0,"imputed_pct":0.0,"imputed":false},{"method":"ModernNCA","variant":"Tuned","family":"Neural Network","url":"https:\/\/arxiv.org\/abs\/2407.03257","reference":false,"elo":1355.0,"imp":16.044,"score":0.189,"rank":29.21,"hrank":16.82,"elo_hi":1392.0,"elo_lo":1318.0,"imputed_pct":0.0,"imputed":false},{"method":"TabSwift","variant":"Default","family":"Foundation Model","url":"https:\/\/github.com\/LAMDA-Tabular\/TabSwift","reference":false,"elo":1350.0,"imp":16.081,"score":0.251,"rank":29.58,"hrank":17.68,"elo_hi":1408.0,"elo_lo":1298.0,"imputed_pct":0.0,"imputed":false},{"method":"XGBoost","variant":"Tuned","family":"Tree-based","url":"https:\/\/arxiv.org\/abs\/1603.02754","reference":false,"elo":1350.0,"imp":16.065,"score":0.16,"rank":29.6,"hrank":22.22,"elo_hi":1379.0,"elo_lo":1318.0,"imputed_pct":0.0,"imputed":false},{"method":"xRFM","variant":"Tuned + Ens.","family":"Other","url":"https:\/\/arxiv.org\/abs\/2508.10053","reference":false,"elo":1348.0,"imp":16.284,"score":0.209,"rank":29.79,"hrank":18.96,"elo_hi":1397.0,"elo_lo":1305.0,"imputed_pct":0.0,"imputed":false},{"method":"ChimeraBoost","variant":"Tuned + Ens.","family":"Tree-based","url":"https:\/\/github.com\/bbstats\/chimeraboost","reference":false,"elo":1333.0,"imp":17.213,"score":0.186,"rank":30.87,"hrank":19.34,"elo_hi":1379.0,"elo_lo":1273.0,"imputed_pct":0.0,"imputed":false},{"method":"TabDPT","variant":"Default","family":"Foundation Model","url":"https:\/\/arxiv.org\/abs\/2410.18164","reference":false,"elo":1325.0,"imp":17.225,"score":0.245,"rank":31.53,"hrank":14.33,"elo_hi":1389.0,"elo_lo":1270.0,"imputed_pct":0.0,"imputed":false},{"method":"ChimeraBoost","variant":"Tuned","family":"Tree-based","url":"https:\/\/github.com\/bbstats\/chimeraboost","reference":false,"elo":1308.0,"imp":17.551,"score":0.156,"rank":32.79,"hrank":21.32,"elo_hi":1352.0,"elo_lo":1248.0,"imputed_pct":0.0,"imputed":false},{"method":"xRFM","variant":"Tuned","family":"Other","url":"https:\/\/arxiv.org\/abs\/2508.10053","reference":false,"elo":1300.0,"imp":17.449,"score":0.158,"rank":33.43,"hrank":22.28,"elo_hi":1345.0,"elo_lo":1261.0,"imputed_pct":0.0,"imputed":false},{"method":"TabM","variant":"Default","family":"Neural Network","url":"https:\/\/arxiv.org\/abs\/2410.24210","reference":false,"elo":1298.0,"imp":17.0,"score":0.161,"rank":33.63,"hrank":21.84,"elo_hi":1345.0,"elo_lo":1254.0,"imputed_pct":0.0,"imputed":false},{"method":"iLTM","variant":"Tuned","family":"Foundation Model","url":"https:\/\/arxiv.org\/abs\/2511.15941","reference":false,"elo":1295.0,"imp":17.147,"score":0.111,"rank":33.83,"hrank":23.47,"elo_hi":1335.0,"elo_lo":1262.0,"imputed_pct":0.0,"imputed":false},{"method":"TorchMLP","variant":"Tuned + Ens.","family":"Neural Network","url":"https:\/\/arxiv.org\/abs\/2003.06505","reference":false,"elo":1285.0,"imp":17.161,"score":0.126,"rank":34.58,"hrank":25.37,"elo_hi":1333.0,"elo_lo":1238.0,"imputed_pct":0.0,"imputed":false},{"method":"SAP-RPT-OSS","variant":"Default","family":"Foundation Model","url":"https:\/\/arxiv.org\/abs\/2506.10707","reference":false,"elo":1283.0,"imp":18.278,"score":0.194,"rank":34.72,"hrank":14.11,"elo_hi":1340.0,"elo_lo":1228.0,"imputed_pct":0.0,"imputed":false},{"method":"EBM","variant":"Tuned + Ens.","family":"Tree-based","url":"https:\/\/www.cs.cornell.edu\/~yinlou\/papers\/lou-kdd13.pdf","reference":false,"elo":1272.0,"imp":18.672,"score":0.116,"rank":35.64,"hrank":25.8,"elo_hi":1312.0,"elo_lo":1232.0,"imputed_pct":0.0,"imputed":false},{"method":"ChimeraBoost","variant":"Default","family":"Tree-based","url":"https:\/\/github.com\/bbstats\/chimeraboost","reference":false,"elo":1264.0,"imp":18.657,"score":0.121,"rank":36.23,"hrank":23.23,"elo_hi":1311.0,"elo_lo":1209.0,"imputed_pct":0.0,"imputed":false},{"method":"ModernNCA","variant":"Default","family":"Neural Network","url":"https:\/\/arxiv.org\/abs\/2407.03257","reference":false,"elo":1248.0,"imp":19.194,"score":0.09,"rank":37.44,"hrank":23.68,"elo_hi":1289.0,"elo_lo":1209.0,"imputed_pct":0.0,"imputed":false},{"method":"EBM","variant":"Tuned","family":"Tree-based","url":"https:\/\/www.cs.cornell.edu\/~yinlou\/papers\/lou-kdd13.pdf","reference":false,"elo":1235.0,"imp":19.314,"score":0.082,"rank":38.43,"hrank":28.17,"elo_hi":1279.0,"elo_lo":1195.0,"imputed_pct":0.0,"imputed":false},{"method":"RealMLP","variant":"Default","family":"Neural Network","url":"https:\/\/arxiv.org\/abs\/2407.04491","reference":false,"elo":1230.0,"imp":18.569,"score":0.066,"rank":38.85,"hrank":29.23,"elo_hi":1266.0,"elo_lo":1193.0,"imputed_pct":0.0,"imputed":false},{"method":"XGBoost","variant":"Default","family":"Tree-based","url":"https:\/\/arxiv.org\/abs\/1603.02754","reference":false,"elo":1214.0,"imp":18.792,"score":0.053,"rank":40.04,"hrank":30.76,"elo_hi":1253.0,"elo_lo":1178.0,"imputed_pct":0.0,"imputed":false},{"method":"TorchMLP","variant":"Tuned","family":"Neural Network","url":"https:\/\/arxiv.org\/abs\/2003.06505","reference":false,"elo":1212.0,"imp":18.877,"score":0.069,"rank":40.24,"hrank":30.96,"elo_hi":1253.0,"elo_lo":1170.0,"imputed_pct":0.0,"imputed":false},{"method":"ExtraTrees","variant":"Tuned + Ens.","family":"Tree-based","url":"https:\/\/link.springer.com\/article\/10.1007\/s10994-006-6226-1","reference":false,"elo":1208.0,"imp":19.777,"score":0.083,"rank":40.47,"hrank":28.16,"elo_hi":1257.0,"elo_lo":1165.0,"imputed_pct":0.0,"imputed":false},{"method":"FastaiMLP","variant":"Tuned + Ens.","family":"Neural Network","url":"https:\/\/arxiv.org\/abs\/2003.06505","reference":false,"elo":1207.0,"imp":19.677,"score":0.105,"rank":40.58,"hrank":25.38,"elo_hi":1258.0,"elo_lo":1148.0,"imputed_pct":0.0,"imputed":false},{"method":"EBM","variant":"Default","family":"Tree-based","url":"https:\/\/www.cs.cornell.edu\/~yinlou\/papers\/lou-kdd13.pdf","reference":false,"elo":1204.0,"imp":20.255,"score":0.069,"rank":40.82,"hrank":28.54,"elo_hi":1249.0,"elo_lo":1155.0,"imputed_pct":0.0,"imputed":false},{"method":"LightGBM","variant":"Default","family":"Tree-based","url":"https:\/\/papers.nips.cc\/paper_files\/paper\/2017\/hash\/6449f44a102fde848669bdd9eb6b76fa-Abstract.html","reference":false,"elo":1186.0,"imp":19.344,"score":0.038,"rank":42.12,"hrank":36.15,"elo_hi":1220.0,"elo_lo":1157.0,"imputed_pct":0.0,"imputed":false},{"method":"ExtraTrees","variant":"Tuned","family":"Tree-based","url":"https:\/\/link.springer.com\/article\/10.1007\/s10994-006-6226-1","reference":false,"elo":1180.0,"imp":20.564,"score":0.074,"rank":42.56,"hrank":26.73,"elo_hi":1225.0,"elo_lo":1128.0,"imputed_pct":0.0,"imputed":false},{"method":"RandomForest","variant":"Tuned + Ens.","family":"Tree-based","url":"https:\/\/link.springer.com\/article\/10.1023\/A:1010933404324","reference":false,"elo":1171.0,"imp":20.828,"score":0.06,"rank":43.28,"hrank":29.04,"elo_hi":1225.0,"elo_lo":1124.0,"imputed_pct":0.0,"imputed":false},{"method":"FastaiMLP","variant":"Tuned","family":"Neural Network","url":"https:\/\/arxiv.org\/abs\/2003.06505","reference":false,"elo":1147.0,"imp":21.096,"score":0.048,"rank":45.01,"hrank":31.19,"elo_hi":1199.0,"elo_lo":1088.0,"imputed_pct":0.0,"imputed":false},{"method":"RandomForest","variant":"Tuned","family":"Tree-based","url":"https:\/\/link.springer.com\/article\/10.1023\/A:1010933404324","reference":false,"elo":1137.0,"imp":21.535,"score":0.041,"rank":45.71,"hrank":28.56,"elo_hi":1187.0,"elo_lo":1093.0,"imputed_pct":0.0,"imputed":false},{"method":"TabSTAR","variant":"Tuned","family":"Foundation Model","url":"https:\/\/arxiv.org\/abs\/2505.18125","reference":false,"elo":1097.0,"imp":25.584,"score":0.125,"rank":48.47,"hrank":15.95,"elo_hi":1172.0,"elo_lo":1014.0,"imputed_pct":0.0,"imputed":false},{"method":"TabSTAR","variant":"Tuned + Ens.","family":"Foundation Model","url":"https:\/\/arxiv.org\/abs\/2505.18125","reference":false,"elo":1096.0,"imp":25.6,"score":0.123,"rank":48.56,"hrank":15.35,"elo_hi":1175.0,"elo_lo":1013.0,"imputed_pct":0.0,"imputed":false},{"method":"iLTM","variant":"Default","family":"Foundation Model","url":"https:\/\/arxiv.org\/abs\/2511.15941","reference":false,"elo":1094.0,"imp":23.024,"score":0.037,"rank":48.66,"hrank":33.93,"elo_hi":1141.0,"elo_lo":1040.0,"imputed_pct":0.0,"imputed":false},{"method":"PerpetualBooster","variant":"Tuned + Ens.","family":"Tree-based","url":"https:\/\/perpetual-ml.com\/","reference":false,"elo":1089.0,"imp":26.446,"score":0.024,"rank":49.04,"hrank":38.83,"elo_hi":1133.0,"elo_lo":1044.0,"imputed_pct":0.0,"imputed":false},{"method":"TorchMLP","variant":"Default","family":"Neural Network","url":"https:\/\/arxiv.org\/abs\/2003.06505","reference":false,"elo":1074.0,"imp":22.815,"score":0.011,"rank":49.99,"hrank":39.42,"elo_hi":1108.0,"elo_lo":1032.0,"imputed_pct":0.0,"imputed":false},{"method":"PerpetualBooster","variant":"Tuned","family":"Tree-based","url":"https:\/\/perpetual-ml.com\/","reference":false,"elo":1050.0,"imp":27.802,"score":0.011,"rank":51.52,"hrank":39.96,"elo_hi":1097.0,"elo_lo":1000.0,"imputed_pct":0.0,"imputed":false},{"method":"xRFM","variant":"Default","family":"Other","url":"https:\/\/arxiv.org\/abs\/2508.10053","reference":false,"elo":1043.0,"imp":26.445,"score":0.029,"rank":51.95,"hrank":44.11,"elo_hi":1104.0,"elo_lo":973.0,"imputed_pct":0.0,"imputed":false},{"method":"ExtraTrees","variant":"Default","family":"Tree-based","url":"https:\/\/link.springer.com\/article\/10.1007\/s10994-006-6226-1","reference":false,"elo":1009.0,"imp":26.176,"score":0.012,"rank":54.0,"hrank":47.38,"elo_hi":1060.0,"elo_lo":943.0,"imputed_pct":0.0,"imputed":false},{"method":"FastaiMLP","variant":"Default","family":"Neural Network","url":"https:\/\/arxiv.org\/abs\/2003.06505","reference":false,"elo":1008.0,"imp":25.682,"score":0.009,"rank":54.07,"hrank":39.97,"elo_hi":1065.0,"elo_lo":946.0,"imputed_pct":0.0,"imputed":false},{"method":"RandomForest","variant":"Default","family":"Tree-based","url":"https:\/\/link.springer.com\/article\/10.1023\/A:1010933404324","reference":false,"elo":1000.0,"imp":26.265,"score":0.003,"rank":54.51,"hrank":49.81,"elo_hi":1047.0,"elo_lo":953.0,"imputed_pct":0.0,"imputed":false},{"method":"KNN","variant":"Tuned + Ens.","family":"Baseline","url":"https:\/\/scikit-learn.org\/stable\/modules\/neighbors.html","reference":false,"elo":997.0,"imp":27.822,"score":0.017,"rank":54.67,"hrank":38.92,"elo_hi":1058.0,"elo_lo":921.0,"imputed_pct":0.0,"imputed":false},{"method":"TabSTAR","variant":"Default","family":"Foundation Model","url":"https:\/\/arxiv.org\/abs\/2505.18125","reference":false,"elo":993.0,"imp":30.456,"score":0.077,"rank":54.89,"hrank":24.31,"elo_hi":1082.0,"elo_lo":889.0,"imputed_pct":0.0,"imputed":false},{"method":"Linear","variant":"Tuned + Ens.","family":"Baseline","url":"https:\/\/scikit-learn.org\/stable\/modules\/linear_model.html","reference":false,"elo":965.0,"imp":33.667,"score":0.031,"rank":56.39,"hrank":40.87,"elo_hi":1029.0,"elo_lo":865.0,"imputed_pct":0.0,"imputed":false},{"method":"Linear","variant":"Tuned","family":"Baseline","url":"https:\/\/scikit-learn.org\/stable\/modules\/linear_model.html","reference":false,"elo":940.0,"imp":34.211,"score":0.022,"rank":57.67,"hrank":42.64,"elo_hi":1010.0,"elo_lo":835.0,"imputed_pct":0.0,"imputed":false},{"method":"PerpetualBooster","variant":"Default","family":"Tree-based","url":"https:\/\/perpetual-ml.com\/","reference":false,"elo":936.0,"imp":31.748,"score":0.0,"rank":57.84,"hrank":45.44,"elo_hi":979.0,"elo_lo":879.0,"imputed_pct":0.0,"imputed":false},{"method":"KNN","variant":"Tuned","family":"Baseline","url":"https:\/\/scikit-learn.org\/stable\/modules\/neighbors.html","reference":false,"elo":890.0,"imp":32.782,"score":0.008,"rank":59.92,"hrank":46.93,"elo_hi":951.0,"elo_lo":790.0,"imputed_pct":0.0,"imputed":false},{"method":"Linear","variant":"Default","family":"Baseline","url":"https:\/\/scikit-learn.org\/stable\/modules\/linear_model.html","reference":false,"elo":861.0,"imp":36.822,"score":0.014,"rank":61.12,"hrank":47.51,"elo_hi":930.0,"elo_lo":743.0,"imputed_pct":0.0,"imputed":false},{"method":"KNN","variant":"Default","family":"Baseline","url":"https:\/\/scikit-learn.org\/stable\/modules\/neighbors.html","reference":false,"elo":654.0,"imp":45.987,"score":0.0,"rank":66.89,"hrank":60.42,"elo_hi":732.0,"elo_lo":563.0,"imputed_pct":0.0,"imputed":false}]; + const POINTS = [{"method":"TabFM","variant":"Default","family":"Foundation Model","url":"https:\/\/github.com\/google-research\/tabfm","reference":false,"elo":1796.0,"imp":4.221,"score":0.88,"rank":6.45,"hrank":1.79,"elo_hi":1911.0,"elo_lo":1686.0,"imputed_pct":0.0,"imputed":false},{"method":"EXAONE-Tabular","variant":"Default","family":"Foundation Model","url":"https:\/\/github.com\/LGAI-Research\/EXAONE-Tabular","reference":false,"elo":1731.0,"imp":8.459,"score":0.729,"rank":8.47,"hrank":3.6,"elo_hi":1805.0,"elo_lo":1677.0,"imputed_pct":0.0,"imputed":false},{"method":"AutoGluon 1.5 (extreme, 4h)","variant":"","family":"Reference Pipeline","url":"https:\/\/arxiv.org\/abs\/2003.06505","reference":true,"elo":1690.0,"imp":8.101,"score":0.651,"rank":9.98,"hrank":4.39,"elo_hi":1770.0,"elo_lo":1623.0,"imputed_pct":0.0,"imputed":false},{"method":"TabPFN-3","variant":"Default","family":"Foundation Model","url":"https:\/\/arxiv.org\/abs\/2605.13986","reference":false,"elo":1666.0,"imp":9.452,"score":0.66,"rank":10.95,"hrank":4.34,"elo_hi":1746.0,"elo_lo":1605.0,"imputed_pct":0.0,"imputed":false},{"method":"TabPFN-2.6","variant":"Default","family":"Foundation Model","url":"https:\/\/arxiv.org\/abs\/2511.08667","reference":false,"elo":1618.0,"imp":10.856,"score":0.571,"rank":13.18,"hrank":7.92,"elo_hi":1687.0,"elo_lo":1567.0,"imputed_pct":0.0,"imputed":false},{"method":"TabICLv2","variant":"Default","family":"Foundation Model","url":"https:\/\/arxiv.org\/abs\/2602.11139","reference":false,"elo":1595.0,"imp":10.286,"score":0.598,"rank":14.34,"hrank":5.33,"elo_hi":1667.0,"elo_lo":1535.0,"imputed_pct":0.0,"imputed":false},{"method":"RealTabPFN-2.5","variant":"Tuned + Ens.","family":"Foundation Model","url":"https:\/\/arxiv.org\/abs\/2511.08667","reference":false,"elo":1594.0,"imp":10.568,"score":0.539,"rank":14.37,"hrank":6.87,"elo_hi":1666.0,"elo_lo":1539.0,"imputed_pct":0.0,"imputed":false},{"method":"RealTabPFN-2.5","variant":"Tuned","family":"Foundation Model","url":"https:\/\/arxiv.org\/abs\/2511.08667","reference":false,"elo":1554.0,"imp":11.266,"score":0.494,"rank":16.55,"hrank":7.93,"elo_hi":1618.0,"elo_lo":1499.0,"imputed_pct":0.0,"imputed":false},{"method":"RealTabPFN-2.5","variant":"Default","family":"Foundation Model","url":"https:\/\/arxiv.org\/abs\/2511.08667","reference":false,"elo":1524.0,"imp":11.817,"score":0.464,"rank":18.34,"hrank":10.6,"elo_hi":1584.0,"elo_lo":1480.0,"imputed_pct":0.0,"imputed":false},{"method":"AutoGluon 1.4 (best, 4h)","variant":"","family":"Reference Pipeline","url":"https:\/\/arxiv.org\/abs\/2003.06505","reference":true,"elo":1513.0,"imp":12.887,"score":0.386,"rank":19.02,"hrank":9.7,"elo_hi":1565.0,"elo_lo":1467.0,"imputed_pct":0.0,"imputed":false},{"method":"RealMLP","variant":"Tuned + Ens.","family":"Neural Network","url":"https:\/\/arxiv.org\/abs\/2407.04491","reference":false,"elo":1507.0,"imp":13.011,"score":0.39,"rank":19.39,"hrank":12.47,"elo_hi":1559.0,"elo_lo":1462.0,"imputed_pct":0.0,"imputed":false},{"method":"TabDPT-Turbo","variant":"Default","family":"Foundation Model","url":"https:\/\/openreview.net\/pdf?id=Y00pwFyrHR","reference":false,"elo":1460.0,"imp":14.093,"score":0.37,"rank":22.48,"hrank":10.05,"elo_hi":1514.0,"elo_lo":1410.0,"imputed_pct":0.0,"imputed":false},{"method":"TabDPT","variant":"Tuned + Ens.","family":"Foundation Model","url":"https:\/\/arxiv.org\/abs\/2410.18164","reference":false,"elo":1458.0,"imp":13.889,"score":0.366,"rank":22.6,"hrank":8.5,"elo_hi":1518.0,"elo_lo":1408.0,"imputed_pct":0.0,"imputed":false},{"method":"TabM","variant":"Tuned + Ens.","family":"Neural Network","url":"https:\/\/arxiv.org\/abs\/2410.24210","reference":false,"elo":1450.0,"imp":14.183,"score":0.303,"rank":23.2,"hrank":13.35,"elo_hi":1501.0,"elo_lo":1408.0,"imputed_pct":0.0,"imputed":false},{"method":"LightGBM","variant":"Tuned + Ens.","family":"Tree-based","url":"https:\/\/papers.nips.cc\/paper_files\/paper\/2017\/hash\/6449f44a102fde848669bdd9eb6b76fa-Abstract.html","reference":false,"elo":1432.0,"imp":15.128,"score":0.248,"rank":24.44,"hrank":18.33,"elo_hi":1464.0,"elo_lo":1402.0,"imputed_pct":0.0,"imputed":false},{"method":"RealMLP","variant":"Tuned","family":"Neural Network","url":"https:\/\/arxiv.org\/abs\/2407.04491","reference":false,"elo":1426.0,"imp":14.323,"score":0.28,"rank":24.86,"hrank":14.79,"elo_hi":1474.0,"elo_lo":1382.0,"imputed_pct":0.0,"imputed":false},{"method":"CatBoost","variant":"Tuned + Ens.","family":"Tree-based","url":"https:\/\/arxiv.org\/abs\/1706.09516","reference":false,"elo":1421.0,"imp":14.761,"score":0.248,"rank":25.25,"hrank":15.97,"elo_hi":1459.0,"elo_lo":1384.0,"imputed_pct":0.0,"imputed":false},{"method":"CatBoost","variant":"Tuned","family":"Tree-based","url":"https:\/\/arxiv.org\/abs\/1706.09516","reference":false,"elo":1408.0,"imp":14.99,"score":0.232,"rank":26.2,"hrank":16.28,"elo_hi":1445.0,"elo_lo":1365.0,"imputed_pct":0.0,"imputed":false},{"method":"iLTM","variant":"Tuned + Ens.","family":"Foundation Model","url":"https:\/\/arxiv.org\/abs\/2511.15941","reference":false,"elo":1404.0,"imp":15.39,"score":0.225,"rank":26.46,"hrank":18.71,"elo_hi":1445.0,"elo_lo":1363.0,"imputed_pct":0.0,"imputed":false},{"method":"TabDPT","variant":"Tuned","family":"Foundation Model","url":"https:\/\/arxiv.org\/abs\/2410.18164","reference":false,"elo":1404.0,"imp":15.025,"score":0.31,"rank":26.49,"hrank":11.83,"elo_hi":1462.0,"elo_lo":1348.0,"imputed_pct":0.0,"imputed":false},{"method":"TabM","variant":"Tuned","family":"Neural Network","url":"https:\/\/arxiv.org\/abs\/2410.24210","reference":false,"elo":1393.0,"imp":15.051,"score":0.239,"rank":27.25,"hrank":15.38,"elo_hi":1441.0,"elo_lo":1351.0,"imputed_pct":0.0,"imputed":false},{"method":"ModernNCA","variant":"Tuned + Ens.","family":"Neural Network","url":"https:\/\/arxiv.org\/abs\/2407.03257","reference":false,"elo":1389.0,"imp":15.718,"score":0.267,"rank":27.57,"hrank":13.55,"elo_hi":1461.0,"elo_lo":1337.0,"imputed_pct":0.0,"imputed":false},{"method":"LightGBM","variant":"Tuned","family":"Tree-based","url":"https:\/\/papers.nips.cc\/paper_files\/paper\/2017\/hash\/6449f44a102fde848669bdd9eb6b76fa-Abstract.html","reference":false,"elo":1385.0,"imp":15.782,"score":0.181,"rank":27.85,"hrank":21.72,"elo_hi":1414.0,"elo_lo":1357.0,"imputed_pct":0.0,"imputed":false},{"method":"CatBoost","variant":"Default","family":"Tree-based","url":"https:\/\/arxiv.org\/abs\/1706.09516","reference":false,"elo":1378.0,"imp":15.62,"score":0.211,"rank":28.37,"hrank":17.08,"elo_hi":1417.0,"elo_lo":1336.0,"imputed_pct":0.0,"imputed":false},{"method":"XGBoost","variant":"Tuned + Ens.","family":"Tree-based","url":"https:\/\/arxiv.org\/abs\/1603.02754","reference":false,"elo":1374.0,"imp":15.854,"score":0.184,"rank":28.66,"hrank":21.38,"elo_hi":1405.0,"elo_lo":1342.0,"imputed_pct":0.0,"imputed":false},{"method":"LimiX","variant":"Default","family":"Foundation Model","url":"https:\/\/arxiv.org\/abs\/2509.03505","reference":false,"elo":1363.0,"imp":15.645,"score":0.293,"rank":29.52,"hrank":10.35,"elo_hi":1440.0,"elo_lo":1305.0,"imputed_pct":0.0,"imputed":false},{"method":"ModernNCA","variant":"Tuned","family":"Neural Network","url":"https:\/\/arxiv.org\/abs\/2407.03257","reference":false,"elo":1355.0,"imp":16.145,"score":0.18,"rank":30.12,"hrank":17.56,"elo_hi":1392.0,"elo_lo":1319.0,"imputed_pct":0.0,"imputed":false},{"method":"TabSwift","variant":"Default","family":"Foundation Model","url":"https:\/\/github.com\/LAMDA-Tabular\/TabSwift","reference":false,"elo":1351.0,"imp":16.172,"score":0.245,"rank":30.43,"hrank":18.48,"elo_hi":1409.0,"elo_lo":1300.0,"imputed_pct":0.0,"imputed":false},{"method":"XGBoost","variant":"Tuned","family":"Tree-based","url":"https:\/\/arxiv.org\/abs\/1603.02754","reference":false,"elo":1349.0,"imp":16.166,"score":0.147,"rank":30.54,"hrank":23.2,"elo_hi":1378.0,"elo_lo":1317.0,"imputed_pct":0.0,"imputed":false},{"method":"xRFM","variant":"Tuned + Ens.","family":"Other","url":"https:\/\/arxiv.org\/abs\/2508.10053","reference":false,"elo":1347.0,"imp":16.391,"score":0.197,"rank":30.7,"hrank":19.78,"elo_hi":1397.0,"elo_lo":1305.0,"imputed_pct":0.0,"imputed":false},{"method":"ChimeraBoost","variant":"Tuned + Ens.","family":"Tree-based","url":"https:\/\/github.com\/bbstats\/chimeraboost","reference":false,"elo":1333.0,"imp":17.301,"score":0.178,"rank":31.78,"hrank":20.47,"elo_hi":1380.0,"elo_lo":1273.0,"imputed_pct":0.0,"imputed":false},{"method":"TabDPT","variant":"Default","family":"Foundation Model","url":"https:\/\/arxiv.org\/abs\/2410.18164","reference":false,"elo":1326.0,"imp":17.303,"score":0.239,"rank":32.37,"hrank":15.01,"elo_hi":1389.0,"elo_lo":1270.0,"imputed_pct":0.0,"imputed":false},{"method":"ChimeraBoost","variant":"Tuned","family":"Tree-based","url":"https:\/\/github.com\/bbstats\/chimeraboost","reference":false,"elo":1308.0,"imp":17.639,"score":0.147,"rank":33.71,"hrank":22.34,"elo_hi":1353.0,"elo_lo":1248.0,"imputed_pct":0.0,"imputed":false},{"method":"xRFM","variant":"Tuned","family":"Other","url":"https:\/\/arxiv.org\/abs\/2508.10053","reference":false,"elo":1300.0,"imp":17.554,"score":0.146,"rank":34.35,"hrank":23.17,"elo_hi":1344.0,"elo_lo":1260.0,"imputed_pct":0.0,"imputed":false},{"method":"TabM","variant":"Default","family":"Neural Network","url":"https:\/\/arxiv.org\/abs\/2410.24210","reference":false,"elo":1297.0,"imp":17.092,"score":0.151,"rank":34.56,"hrank":22.87,"elo_hi":1344.0,"elo_lo":1253.0,"imputed_pct":0.0,"imputed":false},{"method":"iLTM","variant":"Tuned","family":"Foundation Model","url":"https:\/\/arxiv.org\/abs\/2511.15941","reference":false,"elo":1295.0,"imp":17.234,"score":0.103,"rank":34.75,"hrank":24.35,"elo_hi":1334.0,"elo_lo":1262.0,"imputed_pct":0.0,"imputed":false},{"method":"TorchMLP","variant":"Tuned + Ens.","family":"Neural Network","url":"https:\/\/arxiv.org\/abs\/2003.06505","reference":false,"elo":1285.0,"imp":17.252,"score":0.118,"rank":35.53,"hrank":26.58,"elo_hi":1333.0,"elo_lo":1238.0,"imputed_pct":0.0,"imputed":false},{"method":"SAP-RPT-OSS","variant":"Default","family":"Foundation Model","url":"https:\/\/arxiv.org\/abs\/2506.10707","reference":false,"elo":1284.0,"imp":18.419,"score":0.187,"rank":35.62,"hrank":15.01,"elo_hi":1340.0,"elo_lo":1228.0,"imputed_pct":0.0,"imputed":false},{"method":"EBM","variant":"Tuned + Ens.","family":"Tree-based","url":"https:\/\/www.cs.cornell.edu\/~yinlou\/papers\/lou-kdd13.pdf","reference":false,"elo":1271.0,"imp":18.765,"score":0.108,"rank":36.59,"hrank":26.98,"elo_hi":1312.0,"elo_lo":1230.0,"imputed_pct":0.0,"imputed":false},{"method":"ChimeraBoost","variant":"Default","family":"Tree-based","url":"https:\/\/github.com\/bbstats\/chimeraboost","reference":false,"elo":1264.0,"imp":18.743,"score":0.113,"rank":37.15,"hrank":23.92,"elo_hi":1310.0,"elo_lo":1208.0,"imputed_pct":0.0,"imputed":false},{"method":"ModernNCA","variant":"Default","family":"Neural Network","url":"https:\/\/arxiv.org\/abs\/2407.03257","reference":false,"elo":1248.0,"imp":19.286,"score":0.085,"rank":38.38,"hrank":24.59,"elo_hi":1288.0,"elo_lo":1209.0,"imputed_pct":0.0,"imputed":false},{"method":"EBM","variant":"Tuned","family":"Tree-based","url":"https:\/\/www.cs.cornell.edu\/~yinlou\/papers\/lou-kdd13.pdf","reference":false,"elo":1235.0,"imp":19.404,"score":0.076,"rank":39.39,"hrank":29.19,"elo_hi":1280.0,"elo_lo":1194.0,"imputed_pct":0.0,"imputed":false},{"method":"RealMLP","variant":"Default","family":"Neural Network","url":"https:\/\/arxiv.org\/abs\/2407.04491","reference":false,"elo":1230.0,"imp":18.654,"score":0.06,"rank":39.81,"hrank":30.16,"elo_hi":1265.0,"elo_lo":1192.0,"imputed_pct":0.0,"imputed":false},{"method":"XGBoost","variant":"Default","family":"Tree-based","url":"https:\/\/arxiv.org\/abs\/1603.02754","reference":false,"elo":1214.0,"imp":18.885,"score":0.047,"rank":41.02,"hrank":31.88,"elo_hi":1252.0,"elo_lo":1178.0,"imputed_pct":0.0,"imputed":false},{"method":"TorchMLP","variant":"Tuned","family":"Neural Network","url":"https:\/\/arxiv.org\/abs\/2003.06505","reference":false,"elo":1211.0,"imp":18.963,"score":0.064,"rank":41.21,"hrank":32.09,"elo_hi":1252.0,"elo_lo":1168.0,"imputed_pct":0.0,"imputed":false},{"method":"ExtraTrees","variant":"Tuned + Ens.","family":"Tree-based","url":"https:\/\/link.springer.com\/article\/10.1007\/s10994-006-6226-1","reference":false,"elo":1209.0,"imp":19.87,"score":0.08,"rank":41.41,"hrank":28.98,"elo_hi":1258.0,"elo_lo":1165.0,"imputed_pct":0.0,"imputed":false},{"method":"FastaiMLP","variant":"Tuned + Ens.","family":"Neural Network","url":"https:\/\/arxiv.org\/abs\/2003.06505","reference":false,"elo":1207.0,"imp":19.761,"score":0.1,"rank":41.52,"hrank":26.94,"elo_hi":1259.0,"elo_lo":1148.0,"imputed_pct":0.0,"imputed":false},{"method":"EBM","variant":"Default","family":"Tree-based","url":"https:\/\/www.cs.cornell.edu\/~yinlou\/papers\/lou-kdd13.pdf","reference":false,"elo":1204.0,"imp":20.343,"score":0.064,"rank":41.76,"hrank":29.27,"elo_hi":1249.0,"elo_lo":1153.0,"imputed_pct":0.0,"imputed":false},{"method":"LightGBM","variant":"Default","family":"Tree-based","url":"https:\/\/papers.nips.cc\/paper_files\/paper\/2017\/hash\/6449f44a102fde848669bdd9eb6b76fa-Abstract.html","reference":false,"elo":1186.0,"imp":19.428,"score":0.035,"rank":43.1,"hrank":37.1,"elo_hi":1220.0,"elo_lo":1158.0,"imputed_pct":0.0,"imputed":false},{"method":"ExtraTrees","variant":"Tuned","family":"Tree-based","url":"https:\/\/link.springer.com\/article\/10.1007\/s10994-006-6226-1","reference":false,"elo":1181.0,"imp":20.653,"score":0.072,"rank":43.5,"hrank":27.33,"elo_hi":1227.0,"elo_lo":1128.0,"imputed_pct":0.0,"imputed":false},{"method":"RandomForest","variant":"Tuned + Ens.","family":"Tree-based","url":"https:\/\/link.springer.com\/article\/10.1023\/A:1010933404324","reference":false,"elo":1171.0,"imp":20.921,"score":0.059,"rank":44.23,"hrank":29.92,"elo_hi":1225.0,"elo_lo":1124.0,"imputed_pct":0.0,"imputed":false},{"method":"FastaiMLP","variant":"Tuned","family":"Neural Network","url":"https:\/\/arxiv.org\/abs\/2003.06505","reference":false,"elo":1147.0,"imp":21.177,"score":0.044,"rank":45.97,"hrank":32.19,"elo_hi":1199.0,"elo_lo":1087.0,"imputed_pct":0.0,"imputed":false},{"method":"RandomForest","variant":"Tuned","family":"Tree-based","url":"https:\/\/link.springer.com\/article\/10.1023\/A:1010933404324","reference":false,"elo":1137.0,"imp":21.625,"score":0.04,"rank":46.67,"hrank":29.24,"elo_hi":1187.0,"elo_lo":1092.0,"imputed_pct":0.0,"imputed":false},{"method":"TabSTAR","variant":"Tuned","family":"Foundation Model","url":"https:\/\/arxiv.org\/abs\/2505.18125","reference":false,"elo":1098.0,"imp":25.658,"score":0.124,"rank":49.38,"hrank":16.29,"elo_hi":1174.0,"elo_lo":1014.0,"imputed_pct":0.0,"imputed":false},{"method":"TabSTAR","variant":"Tuned + Ens.","family":"Foundation Model","url":"https:\/\/arxiv.org\/abs\/2505.18125","reference":false,"elo":1097.0,"imp":25.674,"score":0.122,"rank":49.47,"hrank":15.55,"elo_hi":1177.0,"elo_lo":1014.0,"imputed_pct":0.0,"imputed":false},{"method":"iLTM","variant":"Default","family":"Foundation Model","url":"https:\/\/arxiv.org\/abs\/2511.15941","reference":false,"elo":1095.0,"imp":23.099,"score":0.036,"rank":49.63,"hrank":34.56,"elo_hi":1142.0,"elo_lo":1039.0,"imputed_pct":0.0,"imputed":false},{"method":"PerpetualBooster","variant":"Tuned + Ens.","family":"Tree-based","url":"https:\/\/perpetual-ml.com\/","reference":false,"elo":1089.0,"imp":26.514,"score":0.021,"rank":50.02,"hrank":40.57,"elo_hi":1133.0,"elo_lo":1043.0,"imputed_pct":0.0,"imputed":false},{"method":"TorchMLP","variant":"Default","family":"Neural Network","url":"https:\/\/arxiv.org\/abs\/2003.06505","reference":false,"elo":1074.0,"imp":22.899,"score":0.008,"rank":50.98,"hrank":40.22,"elo_hi":1108.0,"elo_lo":1032.0,"imputed_pct":0.0,"imputed":false},{"method":"PerpetualBooster","variant":"Tuned","family":"Tree-based","url":"https:\/\/perpetual-ml.com\/","reference":false,"elo":1050.0,"imp":27.869,"score":0.008,"rank":52.5,"hrank":41.36,"elo_hi":1097.0,"elo_lo":1000.0,"imputed_pct":0.0,"imputed":false},{"method":"xRFM","variant":"Default","family":"Other","url":"https:\/\/arxiv.org\/abs\/2508.10053","reference":false,"elo":1043.0,"imp":26.531,"score":0.026,"rank":52.94,"hrank":45.21,"elo_hi":1103.0,"elo_lo":973.0,"imputed_pct":0.0,"imputed":false},{"method":"ExtraTrees","variant":"Default","family":"Tree-based","url":"https:\/\/link.springer.com\/article\/10.1007\/s10994-006-6226-1","reference":false,"elo":1009.0,"imp":26.251,"score":0.011,"rank":54.98,"hrank":48.42,"elo_hi":1059.0,"elo_lo":942.0,"imputed_pct":0.0,"imputed":false},{"method":"FastaiMLP","variant":"Default","family":"Neural Network","url":"https:\/\/arxiv.org\/abs\/2003.06505","reference":false,"elo":1008.0,"imp":25.756,"score":0.006,"rank":55.05,"hrank":40.65,"elo_hi":1066.0,"elo_lo":946.0,"imputed_pct":0.0,"imputed":false},{"method":"RandomForest","variant":"Default","family":"Tree-based","url":"https:\/\/link.springer.com\/article\/10.1023\/A:1010933404324","reference":false,"elo":1000.0,"imp":26.342,"score":0.002,"rank":55.5,"hrank":50.86,"elo_hi":1047.0,"elo_lo":953.0,"imputed_pct":0.0,"imputed":false},{"method":"KNN","variant":"Tuned + Ens.","family":"Baseline","url":"https:\/\/scikit-learn.org\/stable\/modules\/neighbors.html","reference":false,"elo":998.0,"imp":27.893,"score":0.015,"rank":55.64,"hrank":39.66,"elo_hi":1059.0,"elo_lo":922.0,"imputed_pct":0.0,"imputed":false},{"method":"TabSTAR","variant":"Default","family":"Foundation Model","url":"https:\/\/arxiv.org\/abs\/2505.18125","reference":false,"elo":994.0,"imp":30.521,"score":0.076,"rank":55.81,"hrank":24.62,"elo_hi":1084.0,"elo_lo":890.0,"imputed_pct":0.0,"imputed":false},{"method":"Linear","variant":"Tuned + Ens.","family":"Baseline","url":"https:\/\/scikit-learn.org\/stable\/modules\/linear_model.html","reference":false,"elo":966.0,"imp":33.743,"score":0.03,"rank":57.36,"hrank":41.65,"elo_hi":1030.0,"elo_lo":866.0,"imputed_pct":0.0,"imputed":false},{"method":"Linear","variant":"Tuned","family":"Baseline","url":"https:\/\/scikit-learn.org\/stable\/modules\/linear_model.html","reference":false,"elo":940.0,"imp":34.282,"score":0.021,"rank":58.64,"hrank":43.46,"elo_hi":1011.0,"elo_lo":834.0,"imputed_pct":0.0,"imputed":false},{"method":"PerpetualBooster","variant":"Default","family":"Tree-based","url":"https:\/\/perpetual-ml.com\/","reference":false,"elo":936.0,"imp":31.801,"score":0.0,"rank":58.83,"hrank":46.17,"elo_hi":979.0,"elo_lo":879.0,"imputed_pct":0.0,"imputed":false},{"method":"KNN","variant":"Tuned","family":"Baseline","url":"https:\/\/scikit-learn.org\/stable\/modules\/neighbors.html","reference":false,"elo":891.0,"imp":32.845,"score":0.008,"rank":60.89,"hrank":47.67,"elo_hi":952.0,"elo_lo":790.0,"imputed_pct":0.0,"imputed":false},{"method":"Linear","variant":"Default","family":"Baseline","url":"https:\/\/scikit-learn.org\/stable\/modules\/linear_model.html","reference":false,"elo":861.0,"imp":36.884,"score":0.013,"rank":62.11,"hrank":48.29,"elo_hi":930.0,"elo_lo":742.0,"imputed_pct":0.0,"imputed":false},{"method":"KNN","variant":"Default","family":"Baseline","url":"https:\/\/scikit-learn.org\/stable\/modules\/neighbors.html","reference":false,"elo":655.0,"imp":46.03,"score":0.0,"rank":67.89,"hrank":61.26,"elo_hi":733.0,"elo_lo":556.0,"imputed_pct":0.0,"imputed":false}]; const NS = "http://www.w3.org/2000/svg"; diff --git a/data/imputation_no/splits_all/tasks_all/datasets_all/leaderboard_table.html b/data/imputation_no/splits_all/tasks_all/datasets_all/leaderboard_table.html index a7f4f03dde284bce522909c585bfdde5c9a64931..ca12c430fd06ddcca8493ce1ec1259a3a183b9c1 100644 --- a/data/imputation_no/splits_all/tasks_all/datasets_all/leaderboard_table.html +++ b/data/imputation_no/splits_all/tasks_all/datasets_all/leaderboard_table.html @@ -363,7 +363,7 @@ (function () { "use strict"; const CONFIG = {"title": null, "columns": [{"key": "position", "label": "#", "always": true, "hint": "Position in this subset's published ranking."}, {"key": "family", "label": "Type", "always": true, "hint": "Model family \u2014 see the key above the table."}, {"key": "model", "label": "Model", "always": true, "hint": "The model, its tuning variant in brackets, \u2714\ufe0f when the implementation was verified, and \u2021 when some results are imputed."}, {"key": "elo", "label": "Elo", "decimals": 0, "heatmap": true, "hint": "Pairwise win-rate rating; a 400-point gap is about a 91% win rate. Higher is better."}, {"key": "score", "label": "Score", "decimals": 3, "heatmap": true, "hint": "Error rescaled per dataset to 1 (best) \u2026 0 (median), then averaged. Higher is better."}, {"key": "rank", "label": "Rank", "decimals": 2, "lowerBetter": true, "heatmap": true, "hint": "Mean rank across datasets. Lower is better."}, {"key": "hrank", "label": "Harmonic rank", "short": "H. rank", "decimals": 2, "lowerBetter": true, "heatmap": true, "hint": "Harmonic mean of per-dataset ranks; rewards being excellent somewhere. Lower is better."}, {"key": "imp", "label": "Improvability (%)", "short": "Improv.", "decimals": 2, "lowerBetter": true, "heatmap": true, "hint": "How much lower the best model's error is than this one's, per dataset. Lower is better."}, {"key": "train_time", "label": "Train time (s/1K)", "short": "Train s", "decimals": 2, "lowerBetter": true, "heatmap": true, "logScale": true, "hint": "Median seconds to fit per 1000 rows. Lower is better; shaded on a log scale."}, {"key": "predict_time", "label": "Predict time (s/1K)", "short": "Predict s", "decimals": 3, "lowerBetter": true, "heatmap": true, "logScale": true, "hint": "Median seconds to predict per 1000 rows. Lower is better; shaded on a log scale."}, {"key": "imputed_pct", "label": "Imputed (%)", "short": "Imputed", "decimals": 1, "lowerBetter": true, "heatmap": true, "hint": "Share of datasets whose score was imputed because the model could not run on them."}, {"key": "hardware", "label": "Hardware", "text": true, "hint": "The hardware the reported runtimes were measured on."}], "rankKey": "elo", "variants": ["Default", "Tuned", "Tuned + Ens."]}; - const POINTS = [{"position":0,"method":"TabFM","variant":"Default","family":"Foundation Model","url":"https:\/\/github.com\/google-research\/tabfm","family_symbol":"\ud83e\udde0\u26a1","verified":true,"elo":1792.0,"score":0.889,"rank":6.17,"hrank":1.72,"imp":4.074,"train_time":38.81,"predict_time":6.985,"imputed_pct":0.0,"hardware":"GPU","elo_ci":"+115\/-110","imputed":false},{"position":1,"method":"AutoGluon 1.5 (extreme, 4h)","variant":"","family":"Reference Pipeline","url":"https:\/\/arxiv.org\/abs\/2003.06505","family_symbol":"\ud83d\udcca","verified":true,"elo":1691.0,"score":0.662,"rank":9.39,"hrank":4.03,"imp":7.979,"train_time":289.07,"predict_time":4.031,"imputed_pct":0.0,"hardware":"GPU","elo_ci":"+82\/-68","imputed":false},{"position":2,"method":"TabPFN-3","variant":"Default","family":"Foundation Model","url":"https:\/\/arxiv.org\/abs\/2605.13986","family_symbol":"\ud83e\udde0\u26a1","verified":true,"elo":1665.0,"score":0.67,"rank":10.41,"hrank":4.06,"imp":9.328,"train_time":3.66,"predict_time":0.399,"imputed_pct":0.0,"hardware":"GPU","elo_ci":"+80\/-61","imputed":false},{"position":3,"method":"TabPFN-2.6","variant":"Default","family":"Foundation Model","url":"https:\/\/arxiv.org\/abs\/2511.08667","family_symbol":"\ud83e\udde0\u26a1","verified":true,"elo":1620.0,"score":0.583,"rank":12.42,"hrank":7.14,"imp":10.751,"train_time":5.48,"predict_time":0.555,"imputed_pct":0.0,"hardware":"GPU","elo_ci":"+71\/-51","imputed":false},{"position":4,"method":"RealTabPFN-2.5","variant":"Tuned + Ens.","family":"Foundation Model","url":"https:\/\/arxiv.org\/abs\/2511.08667","family_symbol":"\ud83e\udde0\u26a1","verified":true,"elo":1595.0,"score":0.549,"rank":13.64,"hrank":6.22,"imp":10.427,"train_time":2040.22,"predict_time":8.908,"imputed_pct":0.0,"hardware":"GPU","elo_ci":"+74\/-56","imputed":false},{"position":5,"method":"TabICLv2","variant":"Default","family":"Foundation Model","url":"https:\/\/arxiv.org\/abs\/2602.11139","family_symbol":"\ud83e\udde0\u26a1","verified":true,"elo":1594.0,"score":0.606,"rank":13.71,"hrank":4.97,"imp":10.175,"train_time":2.05,"predict_time":0.151,"imputed_pct":0.0,"hardware":"GPU","elo_ci":"+73\/-61","imputed":false},{"position":6,"method":"RealTabPFN-2.5","variant":"Tuned","family":"Foundation Model","url":"https:\/\/arxiv.org\/abs\/2511.08667","family_symbol":"\ud83e\udde0\u26a1","verified":true,"elo":1554.0,"score":0.504,"rank":15.81,"hrank":7.33,"imp":11.116,"train_time":2040.22,"predict_time":1.218,"imputed_pct":0.0,"hardware":"GPU","elo_ci":"+65\/-55","imputed":false},{"position":7,"method":"RealTabPFN-2.5","variant":"Default","family":"Foundation Model","url":"https:\/\/arxiv.org\/abs\/2511.08667","family_symbol":"\ud83e\udde0\u26a1","verified":true,"elo":1524.0,"score":0.474,"rank":17.55,"hrank":9.62,"imp":11.66,"train_time":5.81,"predict_time":0.645,"imputed_pct":0.0,"hardware":"GPU","elo_ci":"+62\/-44","imputed":false},{"position":8,"method":"AutoGluon 1.4 (best, 4h)","variant":"","family":"Reference Pipeline","url":"https:\/\/arxiv.org\/abs\/2003.06505","family_symbol":"\ud83d\udcca","verified":true,"elo":1514.0,"score":0.401,"rank":18.2,"hrank":8.44,"imp":12.789,"train_time":1735.72,"predict_time":2.558,"imputed_pct":0.0,"hardware":"CPU","elo_ci":"+53\/-46","imputed":false},{"position":9,"method":"RealMLP","variant":"Tuned + Ens.","family":"Neural Network","url":"https:\/\/arxiv.org\/abs\/2407.04491","family_symbol":"\ud83e\udde0\ud83d\udd01","verified":true,"elo":1508.0,"score":0.405,"rank":18.55,"hrank":11.52,"imp":12.881,"train_time":2950.72,"predict_time":11.975,"imputed_pct":0.0,"hardware":"GPU","elo_ci":"+54\/-46","imputed":false},{"position":10,"method":"TabDPT-Turbo","variant":"Default","family":"Foundation Model","url":"https:\/\/openreview.net\/pdf?id=Y00pwFyrHR","family_symbol":"\ud83e\udde0\u26a1","verified":false,"elo":1459.0,"score":0.38,"rank":21.7,"hrank":9.59,"imp":14.0,"train_time":2.07,"predict_time":0.182,"imputed_pct":0.0,"hardware":"GPU","elo_ci":"+55\/-51","imputed":false},{"position":11,"method":"TabDPT","variant":"Tuned + Ens.","family":"Foundation Model","url":"https:\/\/arxiv.org\/abs\/2410.18164","family_symbol":"\ud83e\udde0\u26a1","verified":true,"elo":1458.0,"score":0.375,"rank":21.81,"hrank":8.16,"imp":13.788,"train_time":4910.38,"predict_time":286.537,"imputed_pct":0.0,"hardware":"GPU","elo_ci":"+60\/-51","imputed":false},{"position":12,"method":"TabM","variant":"Tuned + Ens.","family":"Neural Network","url":"https:\/\/arxiv.org\/abs\/2410.24210","family_symbol":"\ud83e\udde0\ud83d\udd01","verified":true,"elo":1450.0,"score":0.315,"rank":22.33,"hrank":12.48,"imp":14.081,"train_time":2450.13,"predict_time":2.247,"imputed_pct":0.0,"hardware":"GPU","elo_ci":"+52\/-43","imputed":false},{"position":13,"method":"LightGBM","variant":"Tuned + Ens.","family":"Tree-based","url":"https:\/\/papers.nips.cc\/paper_files\/paper\/2017\/hash\/6449f44a102fde848669bdd9eb6b76fa-Abstract.html","family_symbol":"\ud83c\udf33","verified":true,"elo":1433.0,"score":0.262,"rank":23.53,"hrank":17.2,"imp":15.033,"train_time":417.05,"predict_time":2.639,"imputed_pct":0.0,"hardware":"CPU","elo_ci":"+33\/-31","imputed":false},{"position":14,"method":"RealMLP","variant":"Tuned","family":"Neural Network","url":"https:\/\/arxiv.org\/abs\/2407.04491","family_symbol":"\ud83e\udde0\ud83d\udd01","verified":true,"elo":1426.0,"score":0.295,"rank":23.99,"hrank":13.67,"imp":14.202,"train_time":2950.72,"predict_time":0.663,"imputed_pct":0.0,"hardware":"GPU","elo_ci":"+48\/-45","imputed":false},{"position":15,"method":"CatBoost","variant":"Tuned + Ens.","family":"Tree-based","url":"https:\/\/arxiv.org\/abs\/1706.09516","family_symbol":"\ud83c\udf33","verified":true,"elo":1422.0,"score":0.261,"rank":24.34,"hrank":14.77,"imp":14.656,"train_time":1346.21,"predict_time":0.344,"imputed_pct":0.0,"hardware":"CPU","elo_ci":"+39\/-38","imputed":false},{"position":16,"method":"CatBoost","variant":"Tuned","family":"Tree-based","url":"https:\/\/arxiv.org\/abs\/1706.09516","family_symbol":"\ud83c\udf33","verified":true,"elo":1408.0,"score":0.245,"rank":25.3,"hrank":15.31,"imp":14.885,"train_time":1346.21,"predict_time":0.038,"imputed_pct":0.0,"hardware":"CPU","elo_ci":"+38\/-43","imputed":false},{"position":17,"method":"iLTM","variant":"Tuned + Ens.","family":"Foundation Model","url":"https:\/\/arxiv.org\/abs\/2511.15941","family_symbol":"\ud83e\udde0\u26a1","verified":true,"elo":1404.0,"score":0.235,"rank":25.56,"hrank":17.78,"imp":15.304,"train_time":12685.08,"predict_time":464.37,"imputed_pct":0.0,"hardware":"GPU","elo_ci":"+40\/-42","imputed":false},{"position":18,"method":"TabDPT","variant":"Tuned","family":"Foundation Model","url":"https:\/\/arxiv.org\/abs\/2410.18164","family_symbol":"\ud83e\udde0\u26a1","verified":true,"elo":1403.0,"score":0.316,"rank":25.69,"hrank":11.3,"imp":14.936,"train_time":4910.38,"predict_time":39.96,"imputed_pct":0.0,"hardware":"GPU","elo_ci":"+59\/-56","imputed":false},{"position":19,"method":"TabM","variant":"Tuned","family":"Neural Network","url":"https:\/\/arxiv.org\/abs\/2410.24210","family_symbol":"\ud83e\udde0\ud83d\udd01","verified":true,"elo":1394.0,"score":0.251,"rank":26.35,"hrank":14.47,"imp":14.952,"train_time":2450.13,"predict_time":0.251,"imputed_pct":0.0,"hardware":"GPU","elo_ci":"+48\/-42","imputed":false},{"position":20,"method":"ModernNCA","variant":"Tuned + Ens.","family":"Neural Network","url":"https:\/\/arxiv.org\/abs\/2407.03257","family_symbol":"\ud83e\udde0\ud83d\udd01","verified":true,"elo":1389.0,"score":0.277,"rank":26.66,"hrank":12.79,"imp":15.599,"train_time":4621.67,"predict_time":8.138,"imputed_pct":0.0,"hardware":"GPU","elo_ci":"+73\/-52","imputed":false},{"position":21,"method":"LightGBM","variant":"Tuned","family":"Tree-based","url":"https:\/\/papers.nips.cc\/paper_files\/paper\/2017\/hash\/6449f44a102fde848669bdd9eb6b76fa-Abstract.html","family_symbol":"\ud83c\udf33","verified":true,"elo":1386.0,"score":0.194,"rank":26.93,"hrank":20.71,"imp":15.688,"train_time":417.05,"predict_time":0.334,"imputed_pct":0.0,"hardware":"CPU","elo_ci":"+29\/-29","imputed":false},{"position":22,"method":"CatBoost","variant":"Default","family":"Tree-based","url":"https:\/\/arxiv.org\/abs\/1706.09516","family_symbol":"\ud83c\udf33","verified":true,"elo":1378.0,"score":0.224,"rank":27.47,"hrank":16.11,"imp":15.524,"train_time":5.88,"predict_time":0.025,"imputed_pct":0.0,"hardware":"CPU","elo_ci":"+40\/-42","imputed":false},{"position":23,"method":"XGBoost","variant":"Tuned + Ens.","family":"Tree-based","url":"https:\/\/arxiv.org\/abs\/1603.02754","family_symbol":"\ud83c\udf33","verified":true,"elo":1375.0,"score":0.198,"rank":27.73,"hrank":19.98,"imp":15.754,"train_time":693.49,"predict_time":1.689,"imputed_pct":0.0,"hardware":"CPU","elo_ci":"+31\/-33","imputed":false},{"position":24,"method":"LimiX","variant":"Default","family":"Foundation Model","url":"https:\/\/arxiv.org\/abs\/2509.03505","family_symbol":"\ud83e\udde0\u26a1","verified":false,"elo":1363.0,"score":0.299,"rank":28.66,"hrank":9.55,"imp":15.526,"train_time":26.46,"predict_time":6.242,"imputed_pct":0.0,"hardware":"GPU","elo_ci":"+78\/-59","imputed":false},{"position":25,"method":"ModernNCA","variant":"Tuned","family":"Neural Network","url":"https:\/\/arxiv.org\/abs\/2407.03257","family_symbol":"\ud83e\udde0\ud83d\udd01","verified":true,"elo":1355.0,"score":0.189,"rank":29.21,"hrank":16.82,"imp":16.044,"train_time":4621.67,"predict_time":0.475,"imputed_pct":0.0,"hardware":"GPU","elo_ci":"+37\/-37","imputed":false},{"position":26,"method":"TabSwift","variant":"Default","family":"Foundation Model","url":"https:\/\/github.com\/LAMDA-Tabular\/TabSwift","family_symbol":"\ud83e\udde0\u26a1","verified":false,"elo":1350.0,"score":0.251,"rank":29.58,"hrank":17.68,"imp":16.081,"train_time":1.18,"predict_time":0.072,"imputed_pct":0.0,"hardware":"GPU","elo_ci":"+58\/-52","imputed":false},{"position":27,"method":"XGBoost","variant":"Tuned","family":"Tree-based","url":"https:\/\/arxiv.org\/abs\/1603.02754","family_symbol":"\ud83c\udf33","verified":true,"elo":1350.0,"score":0.16,"rank":29.6,"hrank":22.22,"imp":16.065,"train_time":693.49,"predict_time":0.308,"imputed_pct":0.0,"hardware":"CPU","elo_ci":"+29\/-32","imputed":false},{"position":28,"method":"xRFM","variant":"Tuned + Ens.","family":"Other","url":"https:\/\/arxiv.org\/abs\/2508.10053","family_symbol":"\u2753","verified":true,"elo":1348.0,"score":0.209,"rank":29.79,"hrank":18.96,"imp":16.284,"train_time":846.89,"predict_time":2.549,"imputed_pct":0.0,"hardware":"GPU","elo_ci":"+49\/-43","imputed":false},{"position":29,"method":"ChimeraBoost","variant":"Tuned + Ens.","family":"Tree-based","url":"https:\/\/github.com\/bbstats\/chimeraboost","family_symbol":"\ud83c\udf33","verified":true,"elo":1333.0,"score":0.186,"rank":30.87,"hrank":19.34,"imp":17.213,"train_time":427.39,"predict_time":0.404,"imputed_pct":0.0,"hardware":"CPU","elo_ci":"+46\/-60","imputed":false},{"position":30,"method":"TabDPT","variant":"Default","family":"Foundation Model","url":"https:\/\/arxiv.org\/abs\/2410.18164","family_symbol":"\ud83e\udde0\u26a1","verified":true,"elo":1325.0,"score":0.245,"rank":31.53,"hrank":14.33,"imp":17.225,"train_time":47.65,"predict_time":43.738,"imputed_pct":0.0,"hardware":"GPU","elo_ci":"+64\/-55","imputed":false},{"position":31,"method":"ChimeraBoost","variant":"Tuned","family":"Tree-based","url":"https:\/\/github.com\/bbstats\/chimeraboost","family_symbol":"\ud83c\udf33","verified":true,"elo":1308.0,"score":0.156,"rank":32.79,"hrank":21.32,"imp":17.551,"train_time":427.39,"predict_time":0.034,"imputed_pct":0.0,"hardware":"CPU","elo_ci":"+44\/-60","imputed":false},{"position":32,"method":"xRFM","variant":"Tuned","family":"Other","url":"https:\/\/arxiv.org\/abs\/2508.10053","family_symbol":"\u2753","verified":true,"elo":1300.0,"score":0.158,"rank":33.43,"hrank":22.28,"imp":17.449,"train_time":846.89,"predict_time":0.13,"imputed_pct":0.0,"hardware":"GPU","elo_ci":"+45\/-39","imputed":false},{"position":33,"method":"TabM","variant":"Default","family":"Neural Network","url":"https:\/\/arxiv.org\/abs\/2410.24210","family_symbol":"\ud83e\udde0\ud83d\udd01","verified":true,"elo":1298.0,"score":0.161,"rank":33.63,"hrank":21.84,"imp":17.0,"train_time":7.49,"predict_time":0.244,"imputed_pct":0.0,"hardware":"GPU","elo_ci":"+47\/-44","imputed":false},{"position":34,"method":"iLTM","variant":"Tuned","family":"Foundation Model","url":"https:\/\/arxiv.org\/abs\/2511.15941","family_symbol":"\ud83e\udde0\u26a1","verified":true,"elo":1295.0,"score":0.111,"rank":33.83,"hrank":23.47,"imp":17.147,"train_time":12685.08,"predict_time":62.13,"imputed_pct":0.0,"hardware":"GPU","elo_ci":"+40\/-33","imputed":false},{"position":35,"method":"TorchMLP","variant":"Tuned + Ens.","family":"Neural Network","url":"https:\/\/arxiv.org\/abs\/2003.06505","family_symbol":"\ud83e\udde0\ud83d\udd01","verified":true,"elo":1285.0,"score":0.126,"rank":34.58,"hrank":25.37,"imp":17.161,"train_time":2875.52,"predict_time":1.952,"imputed_pct":0.0,"hardware":"CPU","elo_ci":"+48\/-47","imputed":false},{"position":36,"method":"SAP-RPT-OSS","variant":"Default","family":"Foundation Model","url":"https:\/\/arxiv.org\/abs\/2506.10707","family_symbol":"\ud83e\udde0\u26a1","verified":false,"elo":1283.0,"score":0.194,"rank":34.72,"hrank":14.11,"imp":18.278,"train_time":14.11,"predict_time":2.075,"imputed_pct":0.0,"hardware":"GPU","elo_ci":"+57\/-55","imputed":false},{"position":37,"method":"EBM","variant":"Tuned + Ens.","family":"Tree-based","url":"https:\/\/www.cs.cornell.edu\/~yinlou\/papers\/lou-kdd13.pdf","family_symbol":"\ud83c\udf33","verified":true,"elo":1272.0,"score":0.116,"rank":35.64,"hrank":25.8,"imp":18.672,"train_time":1711.25,"predict_time":0.141,"imputed_pct":0.0,"hardware":"CPU","elo_ci":"+40\/-40","imputed":false},{"position":38,"method":"ChimeraBoost","variant":"Default","family":"Tree-based","url":"https:\/\/github.com\/bbstats\/chimeraboost","family_symbol":"\ud83c\udf33","verified":true,"elo":1264.0,"score":0.121,"rank":36.23,"hrank":23.23,"imp":18.657,"train_time":1.99,"predict_time":0.033,"imputed_pct":0.0,"hardware":"CPU","elo_ci":"+47\/-55","imputed":false},{"position":39,"method":"ModernNCA","variant":"Default","family":"Neural Network","url":"https:\/\/arxiv.org\/abs\/2407.03257","family_symbol":"\ud83e\udde0\ud83d\udd01","verified":true,"elo":1248.0,"score":0.09,"rank":37.44,"hrank":23.68,"imp":19.194,"train_time":14.87,"predict_time":0.307,"imputed_pct":0.0,"hardware":"GPU","elo_ci":"+41\/-39","imputed":false},{"position":40,"method":"EBM","variant":"Tuned","family":"Tree-based","url":"https:\/\/www.cs.cornell.edu\/~yinlou\/papers\/lou-kdd13.pdf","family_symbol":"\ud83c\udf33","verified":true,"elo":1235.0,"score":0.082,"rank":38.43,"hrank":28.17,"imp":19.314,"train_time":1711.25,"predict_time":0.015,"imputed_pct":0.0,"hardware":"CPU","elo_ci":"+44\/-40","imputed":false},{"position":41,"method":"RealMLP","variant":"Default","family":"Neural Network","url":"https:\/\/arxiv.org\/abs\/2407.04491","family_symbol":"\ud83e\udde0\ud83d\udd01","verified":true,"elo":1230.0,"score":0.066,"rank":38.85,"hrank":29.23,"imp":18.569,"train_time":10.06,"predict_time":1.689,"imputed_pct":0.0,"hardware":"GPU","elo_ci":"+36\/-37","imputed":false},{"position":42,"method":"XGBoost","variant":"Default","family":"Tree-based","url":"https:\/\/arxiv.org\/abs\/1603.02754","family_symbol":"\ud83c\udf33","verified":true,"elo":1214.0,"score":0.053,"rank":40.04,"hrank":30.76,"imp":18.792,"train_time":1.94,"predict_time":0.123,"imputed_pct":0.0,"hardware":"CPU","elo_ci":"+39\/-36","imputed":false},{"position":43,"method":"TorchMLP","variant":"Tuned","family":"Neural Network","url":"https:\/\/arxiv.org\/abs\/2003.06505","family_symbol":"\ud83e\udde0\ud83d\udd01","verified":true,"elo":1212.0,"score":0.069,"rank":40.24,"hrank":30.96,"imp":18.877,"train_time":2875.52,"predict_time":0.131,"imputed_pct":0.0,"hardware":"CPU","elo_ci":"+41\/-42","imputed":false},{"position":44,"method":"ExtraTrees","variant":"Tuned + Ens.","family":"Tree-based","url":"https:\/\/link.springer.com\/article\/10.1007\/s10994-006-6226-1","family_symbol":"\ud83c\udf33","verified":true,"elo":1208.0,"score":0.083,"rank":40.47,"hrank":28.16,"imp":19.777,"train_time":263.04,"predict_time":0.766,"imputed_pct":0.0,"hardware":"CPU","elo_ci":"+49\/-43","imputed":false},{"position":45,"method":"FastaiMLP","variant":"Tuned + Ens.","family":"Neural Network","url":"https:\/\/arxiv.org\/abs\/2003.06505","family_symbol":"\ud83e\udde0\ud83d\udd01","verified":true,"elo":1207.0,"score":0.105,"rank":40.58,"hrank":25.38,"imp":19.677,"train_time":593.24,"predict_time":4.467,"imputed_pct":0.0,"hardware":"CPU","elo_ci":"+51\/-59","imputed":false},{"position":46,"method":"EBM","variant":"Default","family":"Tree-based","url":"https:\/\/www.cs.cornell.edu\/~yinlou\/papers\/lou-kdd13.pdf","family_symbol":"\ud83c\udf33","verified":true,"elo":1204.0,"score":0.069,"rank":40.82,"hrank":28.54,"imp":20.255,"train_time":6.67,"predict_time":0.014,"imputed_pct":0.0,"hardware":"CPU","elo_ci":"+45\/-49","imputed":false},{"position":47,"method":"LightGBM","variant":"Default","family":"Tree-based","url":"https:\/\/papers.nips.cc\/paper_files\/paper\/2017\/hash\/6449f44a102fde848669bdd9eb6b76fa-Abstract.html","family_symbol":"\ud83c\udf33","verified":true,"elo":1186.0,"score":0.038,"rank":42.12,"hrank":36.15,"imp":19.344,"train_time":1.96,"predict_time":0.142,"imputed_pct":0.0,"hardware":"CPU","elo_ci":"+34\/-29","imputed":false},{"position":48,"method":"ExtraTrees","variant":"Tuned","family":"Tree-based","url":"https:\/\/link.springer.com\/article\/10.1007\/s10994-006-6226-1","family_symbol":"\ud83c\udf33","verified":true,"elo":1180.0,"score":0.074,"rank":42.56,"hrank":26.73,"imp":20.564,"train_time":263.04,"predict_time":0.071,"imputed_pct":0.0,"hardware":"CPU","elo_ci":"+45\/-52","imputed":false},{"position":49,"method":"RandomForest","variant":"Tuned + Ens.","family":"Tree-based","url":"https:\/\/link.springer.com\/article\/10.1023\/A:1010933404324","family_symbol":"\ud83c\udf33","verified":true,"elo":1171.0,"score":0.06,"rank":43.28,"hrank":29.04,"imp":20.828,"train_time":373.24,"predict_time":0.771,"imputed_pct":0.0,"hardware":"CPU","elo_ci":"+54\/-47","imputed":false},{"position":50,"method":"FastaiMLP","variant":"Tuned","family":"Neural Network","url":"https:\/\/arxiv.org\/abs\/2003.06505","family_symbol":"\ud83e\udde0\ud83d\udd01","verified":true,"elo":1147.0,"score":0.048,"rank":45.01,"hrank":31.19,"imp":21.096,"train_time":593.24,"predict_time":0.306,"imputed_pct":0.0,"hardware":"CPU","elo_ci":"+52\/-59","imputed":false},{"position":51,"method":"RandomForest","variant":"Tuned","family":"Tree-based","url":"https:\/\/link.springer.com\/article\/10.1023\/A:1010933404324","family_symbol":"\ud83c\udf33","verified":true,"elo":1137.0,"score":0.041,"rank":45.71,"hrank":28.56,"imp":21.535,"train_time":373.24,"predict_time":0.085,"imputed_pct":0.0,"hardware":"CPU","elo_ci":"+50\/-44","imputed":false},{"position":52,"method":"TabSTAR","variant":"Tuned","family":"Foundation Model","url":"https:\/\/arxiv.org\/abs\/2505.18125","family_symbol":"\ud83e\udde0\u26a1","verified":true,"elo":1097.0,"score":0.125,"rank":48.47,"hrank":15.95,"imp":25.584,"train_time":28729.74,"predict_time":4.268,"imputed_pct":0.0,"hardware":"GPU","elo_ci":"+75\/-83","imputed":false},{"position":53,"method":"TabSTAR","variant":"Tuned + Ens.","family":"Foundation Model","url":"https:\/\/arxiv.org\/abs\/2505.18125","family_symbol":"\ud83e\udde0\u26a1","verified":true,"elo":1096.0,"score":0.123,"rank":48.56,"hrank":15.35,"imp":25.6,"train_time":28729.74,"predict_time":18.811,"imputed_pct":0.0,"hardware":"GPU","elo_ci":"+79\/-83","imputed":false},{"position":54,"method":"iLTM","variant":"Default","family":"Foundation Model","url":"https:\/\/arxiv.org\/abs\/2511.15941","family_symbol":"\ud83e\udde0\u26a1","verified":true,"elo":1094.0,"score":0.037,"rank":48.66,"hrank":33.93,"imp":23.024,"train_time":296.64,"predict_time":68.173,"imputed_pct":0.0,"hardware":"GPU","elo_ci":"+47\/-54","imputed":false},{"position":55,"method":"PerpetualBooster","variant":"Tuned + Ens.","family":"Tree-based","url":"https:\/\/perpetual-ml.com\/","family_symbol":"\ud83c\udf33","verified":true,"elo":1089.0,"score":0.024,"rank":49.04,"hrank":38.83,"imp":26.446,"train_time":185.31,"predict_time":0.6,"imputed_pct":0.0,"hardware":"CPU","elo_ci":"+44\/-45","imputed":false},{"position":56,"method":"TorchMLP","variant":"Default","family":"Neural Network","url":"https:\/\/arxiv.org\/abs\/2003.06505","family_symbol":"\ud83e\udde0\ud83d\udd01","verified":true,"elo":1074.0,"score":0.011,"rank":49.99,"hrank":39.42,"imp":22.815,"train_time":9.99,"predict_time":0.126,"imputed_pct":0.0,"hardware":"CPU","elo_ci":"+34\/-42","imputed":false},{"position":57,"method":"PerpetualBooster","variant":"Tuned","family":"Tree-based","url":"https:\/\/perpetual-ml.com\/","family_symbol":"\ud83c\udf33","verified":true,"elo":1050.0,"score":0.011,"rank":51.52,"hrank":39.96,"imp":27.802,"train_time":185.31,"predict_time":0.258,"imputed_pct":0.0,"hardware":"CPU","elo_ci":"+47\/-50","imputed":false},{"position":58,"method":"xRFM","variant":"Default","family":"Other","url":"https:\/\/arxiv.org\/abs\/2508.10053","family_symbol":"\u2753","verified":true,"elo":1043.0,"score":0.029,"rank":51.95,"hrank":44.11,"imp":26.445,"train_time":3.23,"predict_time":0.919,"imputed_pct":0.0,"hardware":"GPU","elo_ci":"+61\/-70","imputed":false},{"position":59,"method":"ExtraTrees","variant":"Default","family":"Tree-based","url":"https:\/\/link.springer.com\/article\/10.1007\/s10994-006-6226-1","family_symbol":"\ud83c\udf33","verified":true,"elo":1009.0,"score":0.012,"rank":54.0,"hrank":47.38,"imp":26.176,"train_time":1.87,"predict_time":0.283,"imputed_pct":0.0,"hardware":"CPU","elo_ci":"+51\/-66","imputed":false},{"position":60,"method":"FastaiMLP","variant":"Default","family":"Neural Network","url":"https:\/\/arxiv.org\/abs\/2003.06505","family_symbol":"\ud83e\udde0\ud83d\udd01","verified":true,"elo":1008.0,"score":0.009,"rank":54.07,"hrank":39.97,"imp":25.682,"train_time":2.86,"predict_time":0.373,"imputed_pct":0.0,"hardware":"CPU","elo_ci":"+57\/-62","imputed":false},{"position":61,"method":"RandomForest","variant":"Default","family":"Tree-based","url":"https:\/\/link.springer.com\/article\/10.1023\/A:1010933404324","family_symbol":"\ud83c\udf33","verified":true,"elo":1000.0,"score":0.003,"rank":54.51,"hrank":49.81,"imp":26.265,"train_time":0.43,"predict_time":0.054,"imputed_pct":0.0,"hardware":"CPU","elo_ci":"+47\/-47","imputed":false},{"position":62,"method":"KNN","variant":"Tuned + Ens.","family":"Baseline","url":"https:\/\/scikit-learn.org\/stable\/modules\/neighbors.html","family_symbol":"\ud83d\udccf","verified":true,"elo":997.0,"score":0.017,"rank":54.67,"hrank":38.92,"imp":27.822,"train_time":129.08,"predict_time":1.801,"imputed_pct":0.0,"hardware":"CPU","elo_ci":"+61\/-76","imputed":false},{"position":63,"method":"TabSTAR","variant":"Default","family":"Foundation Model","url":"https:\/\/arxiv.org\/abs\/2505.18125","family_symbol":"\ud83e\udde0\u26a1","verified":true,"elo":993.0,"score":0.077,"rank":54.89,"hrank":24.31,"imp":30.456,"train_time":384.75,"predict_time":5.348,"imputed_pct":0.0,"hardware":"GPU","elo_ci":"+89\/-104","imputed":false},{"position":64,"method":"Linear","variant":"Tuned + Ens.","family":"Baseline","url":"https:\/\/scikit-learn.org\/stable\/modules\/linear_model.html","family_symbol":"\ud83d\udccf","verified":true,"elo":965.0,"score":0.031,"rank":56.39,"hrank":40.87,"imp":33.667,"train_time":237.63,"predict_time":0.424,"imputed_pct":0.0,"hardware":"CPU","elo_ci":"+64\/-100","imputed":false},{"position":65,"method":"Linear","variant":"Tuned","family":"Baseline","url":"https:\/\/scikit-learn.org\/stable\/modules\/linear_model.html","family_symbol":"\ud83d\udccf","verified":true,"elo":940.0,"score":0.022,"rank":57.67,"hrank":42.64,"imp":34.211,"train_time":237.63,"predict_time":0.085,"imputed_pct":0.0,"hardware":"CPU","elo_ci":"+70\/-105","imputed":false},{"position":66,"method":"PerpetualBooster","variant":"Default","family":"Tree-based","url":"https:\/\/perpetual-ml.com\/","family_symbol":"\ud83c\udf33","verified":true,"elo":936.0,"score":0.0,"rank":57.84,"hrank":45.44,"imp":31.748,"train_time":27.32,"predict_time":0.029,"imputed_pct":0.0,"hardware":"CPU","elo_ci":"+43\/-57","imputed":false},{"position":67,"method":"KNN","variant":"Tuned","family":"Baseline","url":"https:\/\/scikit-learn.org\/stable\/modules\/neighbors.html","family_symbol":"\ud83d\udccf","verified":true,"elo":890.0,"score":0.008,"rank":59.92,"hrank":46.93,"imp":32.782,"train_time":129.08,"predict_time":0.18,"imputed_pct":0.0,"hardware":"CPU","elo_ci":"+61\/-100","imputed":false},{"position":68,"method":"Linear","variant":"Default","family":"Baseline","url":"https:\/\/scikit-learn.org\/stable\/modules\/linear_model.html","family_symbol":"\ud83d\udccf","verified":true,"elo":861.0,"score":0.014,"rank":61.12,"hrank":47.51,"imp":36.822,"train_time":1.19,"predict_time":0.12,"imputed_pct":0.0,"hardware":"CPU","elo_ci":"+69\/-118","imputed":false},{"position":69,"method":"KNN","variant":"Default","family":"Baseline","url":"https:\/\/scikit-learn.org\/stable\/modules\/neighbors.html","family_symbol":"\ud83d\udccf","verified":true,"elo":654.0,"score":0.0,"rank":66.89,"hrank":60.42,"imp":45.987,"train_time":0.19,"predict_time":0.036,"imputed_pct":0.0,"hardware":"CPU","elo_ci":"+78\/-91","imputed":false}]; + const POINTS = [{"position":0,"method":"TabFM","variant":"Default","family":"Foundation Model","url":"https:\/\/github.com\/google-research\/tabfm","family_symbol":"\ud83e\udde0\u26a1","verified":true,"elo":1796.0,"score":0.88,"rank":6.45,"hrank":1.79,"imp":4.221,"train_time":38.81,"predict_time":6.985,"imputed_pct":0.0,"hardware":"GPU","elo_ci":"+115\/-110","imputed":false},{"position":1,"method":"EXAONE-Tabular","variant":"Default","family":"Foundation Model","url":"https:\/\/github.com\/LGAI-Research\/EXAONE-Tabular","family_symbol":"\ud83e\udde0\u26a1","verified":true,"elo":1731.0,"score":0.729,"rank":8.47,"hrank":3.6,"imp":8.459,"train_time":5.94,"predict_time":0.712,"imputed_pct":0.0,"hardware":"GPU","elo_ci":"+74\/-54","imputed":false},{"position":2,"method":"AutoGluon 1.5 (extreme, 4h)","variant":"","family":"Reference Pipeline","url":"https:\/\/arxiv.org\/abs\/2003.06505","family_symbol":"\ud83d\udcca","verified":true,"elo":1690.0,"score":0.651,"rank":9.98,"hrank":4.39,"imp":8.101,"train_time":289.07,"predict_time":4.031,"imputed_pct":0.0,"hardware":"GPU","elo_ci":"+80\/-67","imputed":false},{"position":3,"method":"TabPFN-3","variant":"Default","family":"Foundation Model","url":"https:\/\/arxiv.org\/abs\/2605.13986","family_symbol":"\ud83e\udde0\u26a1","verified":true,"elo":1666.0,"score":0.66,"rank":10.95,"hrank":4.34,"imp":9.452,"train_time":3.66,"predict_time":0.399,"imputed_pct":0.0,"hardware":"GPU","elo_ci":"+80\/-61","imputed":false},{"position":4,"method":"TabPFN-2.6","variant":"Default","family":"Foundation Model","url":"https:\/\/arxiv.org\/abs\/2511.08667","family_symbol":"\ud83e\udde0\u26a1","verified":true,"elo":1618.0,"score":0.571,"rank":13.18,"hrank":7.92,"imp":10.856,"train_time":5.48,"predict_time":0.555,"imputed_pct":0.0,"hardware":"GPU","elo_ci":"+69\/-51","imputed":false},{"position":5,"method":"TabICLv2","variant":"Default","family":"Foundation Model","url":"https:\/\/arxiv.org\/abs\/2602.11139","family_symbol":"\ud83e\udde0\u26a1","verified":true,"elo":1595.0,"score":0.598,"rank":14.34,"hrank":5.33,"imp":10.286,"train_time":2.05,"predict_time":0.151,"imputed_pct":0.0,"hardware":"GPU","elo_ci":"+72\/-60","imputed":false},{"position":6,"method":"RealTabPFN-2.5","variant":"Tuned + Ens.","family":"Foundation Model","url":"https:\/\/arxiv.org\/abs\/2511.08667","family_symbol":"\ud83e\udde0\u26a1","verified":true,"elo":1594.0,"score":0.539,"rank":14.37,"hrank":6.87,"imp":10.568,"train_time":2040.22,"predict_time":8.908,"imputed_pct":0.0,"hardware":"GPU","elo_ci":"+72\/-55","imputed":false},{"position":7,"method":"RealTabPFN-2.5","variant":"Tuned","family":"Foundation Model","url":"https:\/\/arxiv.org\/abs\/2511.08667","family_symbol":"\ud83e\udde0\u26a1","verified":true,"elo":1554.0,"score":0.494,"rank":16.55,"hrank":7.93,"imp":11.266,"train_time":2040.22,"predict_time":1.218,"imputed_pct":0.0,"hardware":"GPU","elo_ci":"+64\/-55","imputed":false},{"position":8,"method":"RealTabPFN-2.5","variant":"Default","family":"Foundation Model","url":"https:\/\/arxiv.org\/abs\/2511.08667","family_symbol":"\ud83e\udde0\u26a1","verified":true,"elo":1524.0,"score":0.464,"rank":18.34,"hrank":10.6,"imp":11.817,"train_time":5.81,"predict_time":0.645,"imputed_pct":0.0,"hardware":"GPU","elo_ci":"+60\/-44","imputed":false},{"position":9,"method":"AutoGluon 1.4 (best, 4h)","variant":"","family":"Reference Pipeline","url":"https:\/\/arxiv.org\/abs\/2003.06505","family_symbol":"\ud83d\udcca","verified":true,"elo":1513.0,"score":0.386,"rank":19.02,"hrank":9.7,"imp":12.887,"train_time":1735.72,"predict_time":2.558,"imputed_pct":0.0,"hardware":"CPU","elo_ci":"+52\/-46","imputed":false},{"position":10,"method":"RealMLP","variant":"Tuned + Ens.","family":"Neural Network","url":"https:\/\/arxiv.org\/abs\/2407.04491","family_symbol":"\ud83e\udde0\ud83d\udd01","verified":true,"elo":1507.0,"score":0.39,"rank":19.39,"hrank":12.47,"imp":13.011,"train_time":2950.72,"predict_time":11.975,"imputed_pct":0.0,"hardware":"GPU","elo_ci":"+52\/-45","imputed":false},{"position":11,"method":"TabDPT-Turbo","variant":"Default","family":"Foundation Model","url":"https:\/\/openreview.net\/pdf?id=Y00pwFyrHR","family_symbol":"\ud83e\udde0\u26a1","verified":false,"elo":1460.0,"score":0.37,"rank":22.48,"hrank":10.05,"imp":14.093,"train_time":2.07,"predict_time":0.182,"imputed_pct":0.0,"hardware":"GPU","elo_ci":"+54\/-50","imputed":false},{"position":12,"method":"TabDPT","variant":"Tuned + Ens.","family":"Foundation Model","url":"https:\/\/arxiv.org\/abs\/2410.18164","family_symbol":"\ud83e\udde0\u26a1","verified":true,"elo":1458.0,"score":0.366,"rank":22.6,"hrank":8.5,"imp":13.889,"train_time":4910.38,"predict_time":286.537,"imputed_pct":0.0,"hardware":"GPU","elo_ci":"+60\/-50","imputed":false},{"position":13,"method":"TabM","variant":"Tuned + Ens.","family":"Neural Network","url":"https:\/\/arxiv.org\/abs\/2410.24210","family_symbol":"\ud83e\udde0\ud83d\udd01","verified":true,"elo":1450.0,"score":0.303,"rank":23.2,"hrank":13.35,"imp":14.183,"train_time":2450.13,"predict_time":2.247,"imputed_pct":0.0,"hardware":"GPU","elo_ci":"+51\/-42","imputed":false},{"position":14,"method":"LightGBM","variant":"Tuned + Ens.","family":"Tree-based","url":"https:\/\/papers.nips.cc\/paper_files\/paper\/2017\/hash\/6449f44a102fde848669bdd9eb6b76fa-Abstract.html","family_symbol":"\ud83c\udf33","verified":true,"elo":1432.0,"score":0.248,"rank":24.44,"hrank":18.33,"imp":15.128,"train_time":417.05,"predict_time":2.639,"imputed_pct":0.0,"hardware":"CPU","elo_ci":"+32\/-30","imputed":false},{"position":15,"method":"RealMLP","variant":"Tuned","family":"Neural Network","url":"https:\/\/arxiv.org\/abs\/2407.04491","family_symbol":"\ud83e\udde0\ud83d\udd01","verified":true,"elo":1426.0,"score":0.28,"rank":24.86,"hrank":14.79,"imp":14.323,"train_time":2950.72,"predict_time":0.663,"imputed_pct":0.0,"hardware":"GPU","elo_ci":"+48\/-44","imputed":false},{"position":16,"method":"CatBoost","variant":"Tuned + Ens.","family":"Tree-based","url":"https:\/\/arxiv.org\/abs\/1706.09516","family_symbol":"\ud83c\udf33","verified":true,"elo":1421.0,"score":0.248,"rank":25.25,"hrank":15.97,"imp":14.761,"train_time":1346.21,"predict_time":0.344,"imputed_pct":0.0,"hardware":"CPU","elo_ci":"+38\/-37","imputed":false},{"position":17,"method":"CatBoost","variant":"Tuned","family":"Tree-based","url":"https:\/\/arxiv.org\/abs\/1706.09516","family_symbol":"\ud83c\udf33","verified":true,"elo":1408.0,"score":0.232,"rank":26.2,"hrank":16.28,"imp":14.99,"train_time":1346.21,"predict_time":0.038,"imputed_pct":0.0,"hardware":"CPU","elo_ci":"+37\/-43","imputed":false},{"position":18,"method":"iLTM","variant":"Tuned + Ens.","family":"Foundation Model","url":"https:\/\/arxiv.org\/abs\/2511.15941","family_symbol":"\ud83e\udde0\u26a1","verified":true,"elo":1404.0,"score":0.225,"rank":26.46,"hrank":18.71,"imp":15.39,"train_time":12685.08,"predict_time":464.37,"imputed_pct":0.0,"hardware":"GPU","elo_ci":"+41\/-41","imputed":false},{"position":19,"method":"TabDPT","variant":"Tuned","family":"Foundation Model","url":"https:\/\/arxiv.org\/abs\/2410.18164","family_symbol":"\ud83e\udde0\u26a1","verified":true,"elo":1404.0,"score":0.31,"rank":26.49,"hrank":11.83,"imp":15.025,"train_time":4910.38,"predict_time":39.96,"imputed_pct":0.0,"hardware":"GPU","elo_ci":"+58\/-56","imputed":false},{"position":20,"method":"TabM","variant":"Tuned","family":"Neural Network","url":"https:\/\/arxiv.org\/abs\/2410.24210","family_symbol":"\ud83e\udde0\ud83d\udd01","verified":true,"elo":1393.0,"score":0.239,"rank":27.25,"hrank":15.38,"imp":15.051,"train_time":2450.13,"predict_time":0.251,"imputed_pct":0.0,"hardware":"GPU","elo_ci":"+48\/-42","imputed":false},{"position":21,"method":"ModernNCA","variant":"Tuned + Ens.","family":"Neural Network","url":"https:\/\/arxiv.org\/abs\/2407.03257","family_symbol":"\ud83e\udde0\ud83d\udd01","verified":true,"elo":1389.0,"score":0.267,"rank":27.57,"hrank":13.55,"imp":15.718,"train_time":4621.67,"predict_time":8.138,"imputed_pct":0.0,"hardware":"GPU","elo_ci":"+72\/-52","imputed":false},{"position":22,"method":"LightGBM","variant":"Tuned","family":"Tree-based","url":"https:\/\/papers.nips.cc\/paper_files\/paper\/2017\/hash\/6449f44a102fde848669bdd9eb6b76fa-Abstract.html","family_symbol":"\ud83c\udf33","verified":true,"elo":1385.0,"score":0.181,"rank":27.85,"hrank":21.72,"imp":15.782,"train_time":417.05,"predict_time":0.334,"imputed_pct":0.0,"hardware":"CPU","elo_ci":"+29\/-28","imputed":false},{"position":23,"method":"CatBoost","variant":"Default","family":"Tree-based","url":"https:\/\/arxiv.org\/abs\/1706.09516","family_symbol":"\ud83c\udf33","verified":true,"elo":1378.0,"score":0.211,"rank":28.37,"hrank":17.08,"imp":15.62,"train_time":5.88,"predict_time":0.025,"imputed_pct":0.0,"hardware":"CPU","elo_ci":"+39\/-42","imputed":false},{"position":24,"method":"XGBoost","variant":"Tuned + Ens.","family":"Tree-based","url":"https:\/\/arxiv.org\/abs\/1603.02754","family_symbol":"\ud83c\udf33","verified":true,"elo":1374.0,"score":0.184,"rank":28.66,"hrank":21.38,"imp":15.854,"train_time":693.49,"predict_time":1.689,"imputed_pct":0.0,"hardware":"CPU","elo_ci":"+31\/-32","imputed":false},{"position":25,"method":"LimiX","variant":"Default","family":"Foundation Model","url":"https:\/\/arxiv.org\/abs\/2509.03505","family_symbol":"\ud83e\udde0\u26a1","verified":false,"elo":1363.0,"score":0.293,"rank":29.52,"hrank":10.35,"imp":15.645,"train_time":26.46,"predict_time":6.242,"imputed_pct":0.0,"hardware":"GPU","elo_ci":"+77\/-58","imputed":false},{"position":26,"method":"ModernNCA","variant":"Tuned","family":"Neural Network","url":"https:\/\/arxiv.org\/abs\/2407.03257","family_symbol":"\ud83e\udde0\ud83d\udd01","verified":true,"elo":1355.0,"score":0.18,"rank":30.12,"hrank":17.56,"imp":16.145,"train_time":4621.67,"predict_time":0.475,"imputed_pct":0.0,"hardware":"GPU","elo_ci":"+37\/-36","imputed":false},{"position":27,"method":"TabSwift","variant":"Default","family":"Foundation Model","url":"https:\/\/github.com\/LAMDA-Tabular\/TabSwift","family_symbol":"\ud83e\udde0\u26a1","verified":false,"elo":1351.0,"score":0.245,"rank":30.43,"hrank":18.48,"imp":16.172,"train_time":1.18,"predict_time":0.072,"imputed_pct":0.0,"hardware":"GPU","elo_ci":"+58\/-51","imputed":false},{"position":28,"method":"XGBoost","variant":"Tuned","family":"Tree-based","url":"https:\/\/arxiv.org\/abs\/1603.02754","family_symbol":"\ud83c\udf33","verified":true,"elo":1349.0,"score":0.147,"rank":30.54,"hrank":23.2,"imp":16.166,"train_time":693.49,"predict_time":0.308,"imputed_pct":0.0,"hardware":"CPU","elo_ci":"+29\/-32","imputed":false},{"position":29,"method":"xRFM","variant":"Tuned + Ens.","family":"Other","url":"https:\/\/arxiv.org\/abs\/2508.10053","family_symbol":"\u2753","verified":true,"elo":1347.0,"score":0.197,"rank":30.7,"hrank":19.78,"imp":16.391,"train_time":846.89,"predict_time":2.549,"imputed_pct":0.0,"hardware":"GPU","elo_ci":"+50\/-42","imputed":false},{"position":30,"method":"ChimeraBoost","variant":"Tuned + Ens.","family":"Tree-based","url":"https:\/\/github.com\/bbstats\/chimeraboost","family_symbol":"\ud83c\udf33","verified":true,"elo":1333.0,"score":0.178,"rank":31.78,"hrank":20.47,"imp":17.301,"train_time":427.39,"predict_time":0.404,"imputed_pct":0.0,"hardware":"CPU","elo_ci":"+47\/-60","imputed":false},{"position":31,"method":"TabDPT","variant":"Default","family":"Foundation Model","url":"https:\/\/arxiv.org\/abs\/2410.18164","family_symbol":"\ud83e\udde0\u26a1","verified":true,"elo":1326.0,"score":0.239,"rank":32.37,"hrank":15.01,"imp":17.303,"train_time":47.65,"predict_time":43.738,"imputed_pct":0.0,"hardware":"GPU","elo_ci":"+63\/-56","imputed":false},{"position":32,"method":"ChimeraBoost","variant":"Tuned","family":"Tree-based","url":"https:\/\/github.com\/bbstats\/chimeraboost","family_symbol":"\ud83c\udf33","verified":true,"elo":1308.0,"score":0.147,"rank":33.71,"hrank":22.34,"imp":17.639,"train_time":427.39,"predict_time":0.034,"imputed_pct":0.0,"hardware":"CPU","elo_ci":"+45\/-60","imputed":false},{"position":33,"method":"xRFM","variant":"Tuned","family":"Other","url":"https:\/\/arxiv.org\/abs\/2508.10053","family_symbol":"\u2753","verified":true,"elo":1300.0,"score":0.146,"rank":34.35,"hrank":23.17,"imp":17.554,"train_time":846.89,"predict_time":0.13,"imputed_pct":0.0,"hardware":"GPU","elo_ci":"+44\/-40","imputed":false},{"position":34,"method":"TabM","variant":"Default","family":"Neural Network","url":"https:\/\/arxiv.org\/abs\/2410.24210","family_symbol":"\ud83e\udde0\ud83d\udd01","verified":true,"elo":1297.0,"score":0.151,"rank":34.56,"hrank":22.87,"imp":17.092,"train_time":7.49,"predict_time":0.244,"imputed_pct":0.0,"hardware":"GPU","elo_ci":"+47\/-44","imputed":false},{"position":35,"method":"iLTM","variant":"Tuned","family":"Foundation Model","url":"https:\/\/arxiv.org\/abs\/2511.15941","family_symbol":"\ud83e\udde0\u26a1","verified":true,"elo":1295.0,"score":0.103,"rank":34.75,"hrank":24.35,"imp":17.234,"train_time":12685.08,"predict_time":62.13,"imputed_pct":0.0,"hardware":"GPU","elo_ci":"+39\/-33","imputed":false},{"position":36,"method":"TorchMLP","variant":"Tuned + Ens.","family":"Neural Network","url":"https:\/\/arxiv.org\/abs\/2003.06505","family_symbol":"\ud83e\udde0\ud83d\udd01","verified":true,"elo":1285.0,"score":0.118,"rank":35.53,"hrank":26.58,"imp":17.252,"train_time":2875.52,"predict_time":1.952,"imputed_pct":0.0,"hardware":"CPU","elo_ci":"+48\/-47","imputed":false},{"position":37,"method":"SAP-RPT-OSS","variant":"Default","family":"Foundation Model","url":"https:\/\/arxiv.org\/abs\/2506.10707","family_symbol":"\ud83e\udde0\u26a1","verified":false,"elo":1284.0,"score":0.187,"rank":35.62,"hrank":15.01,"imp":18.419,"train_time":14.11,"predict_time":2.075,"imputed_pct":0.0,"hardware":"GPU","elo_ci":"+56\/-56","imputed":false},{"position":38,"method":"EBM","variant":"Tuned + Ens.","family":"Tree-based","url":"https:\/\/www.cs.cornell.edu\/~yinlou\/papers\/lou-kdd13.pdf","family_symbol":"\ud83c\udf33","verified":true,"elo":1271.0,"score":0.108,"rank":36.59,"hrank":26.98,"imp":18.765,"train_time":1711.25,"predict_time":0.141,"imputed_pct":0.0,"hardware":"CPU","elo_ci":"+41\/-41","imputed":false},{"position":39,"method":"ChimeraBoost","variant":"Default","family":"Tree-based","url":"https:\/\/github.com\/bbstats\/chimeraboost","family_symbol":"\ud83c\udf33","verified":true,"elo":1264.0,"score":0.113,"rank":37.15,"hrank":23.92,"imp":18.743,"train_time":1.99,"predict_time":0.033,"imputed_pct":0.0,"hardware":"CPU","elo_ci":"+46\/-56","imputed":false},{"position":40,"method":"ModernNCA","variant":"Default","family":"Neural Network","url":"https:\/\/arxiv.org\/abs\/2407.03257","family_symbol":"\ud83e\udde0\ud83d\udd01","verified":true,"elo":1248.0,"score":0.085,"rank":38.38,"hrank":24.59,"imp":19.286,"train_time":14.87,"predict_time":0.307,"imputed_pct":0.0,"hardware":"GPU","elo_ci":"+40\/-39","imputed":false},{"position":41,"method":"EBM","variant":"Tuned","family":"Tree-based","url":"https:\/\/www.cs.cornell.edu\/~yinlou\/papers\/lou-kdd13.pdf","family_symbol":"\ud83c\udf33","verified":true,"elo":1235.0,"score":0.076,"rank":39.39,"hrank":29.19,"imp":19.404,"train_time":1711.25,"predict_time":0.015,"imputed_pct":0.0,"hardware":"CPU","elo_ci":"+45\/-41","imputed":false},{"position":42,"method":"RealMLP","variant":"Default","family":"Neural Network","url":"https:\/\/arxiv.org\/abs\/2407.04491","family_symbol":"\ud83e\udde0\ud83d\udd01","verified":true,"elo":1230.0,"score":0.06,"rank":39.81,"hrank":30.16,"imp":18.654,"train_time":10.06,"predict_time":1.689,"imputed_pct":0.0,"hardware":"GPU","elo_ci":"+35\/-38","imputed":false},{"position":43,"method":"XGBoost","variant":"Default","family":"Tree-based","url":"https:\/\/arxiv.org\/abs\/1603.02754","family_symbol":"\ud83c\udf33","verified":true,"elo":1214.0,"score":0.047,"rank":41.02,"hrank":31.88,"imp":18.885,"train_time":1.94,"predict_time":0.123,"imputed_pct":0.0,"hardware":"CPU","elo_ci":"+38\/-36","imputed":false},{"position":44,"method":"TorchMLP","variant":"Tuned","family":"Neural Network","url":"https:\/\/arxiv.org\/abs\/2003.06505","family_symbol":"\ud83e\udde0\ud83d\udd01","verified":true,"elo":1211.0,"score":0.064,"rank":41.21,"hrank":32.09,"imp":18.963,"train_time":2875.52,"predict_time":0.131,"imputed_pct":0.0,"hardware":"CPU","elo_ci":"+41\/-43","imputed":false},{"position":45,"method":"ExtraTrees","variant":"Tuned + Ens.","family":"Tree-based","url":"https:\/\/link.springer.com\/article\/10.1007\/s10994-006-6226-1","family_symbol":"\ud83c\udf33","verified":true,"elo":1209.0,"score":0.08,"rank":41.41,"hrank":28.98,"imp":19.87,"train_time":263.04,"predict_time":0.766,"imputed_pct":0.0,"hardware":"CPU","elo_ci":"+49\/-44","imputed":false},{"position":46,"method":"FastaiMLP","variant":"Tuned + Ens.","family":"Neural Network","url":"https:\/\/arxiv.org\/abs\/2003.06505","family_symbol":"\ud83e\udde0\ud83d\udd01","verified":true,"elo":1207.0,"score":0.1,"rank":41.52,"hrank":26.94,"imp":19.761,"train_time":593.24,"predict_time":4.467,"imputed_pct":0.0,"hardware":"CPU","elo_ci":"+52\/-59","imputed":false},{"position":47,"method":"EBM","variant":"Default","family":"Tree-based","url":"https:\/\/www.cs.cornell.edu\/~yinlou\/papers\/lou-kdd13.pdf","family_symbol":"\ud83c\udf33","verified":true,"elo":1204.0,"score":0.064,"rank":41.76,"hrank":29.27,"imp":20.343,"train_time":6.67,"predict_time":0.014,"imputed_pct":0.0,"hardware":"CPU","elo_ci":"+45\/-51","imputed":false},{"position":48,"method":"LightGBM","variant":"Default","family":"Tree-based","url":"https:\/\/papers.nips.cc\/paper_files\/paper\/2017\/hash\/6449f44a102fde848669bdd9eb6b76fa-Abstract.html","family_symbol":"\ud83c\udf33","verified":true,"elo":1186.0,"score":0.035,"rank":43.1,"hrank":37.1,"imp":19.428,"train_time":1.96,"predict_time":0.142,"imputed_pct":0.0,"hardware":"CPU","elo_ci":"+34\/-28","imputed":false},{"position":49,"method":"ExtraTrees","variant":"Tuned","family":"Tree-based","url":"https:\/\/link.springer.com\/article\/10.1007\/s10994-006-6226-1","family_symbol":"\ud83c\udf33","verified":true,"elo":1181.0,"score":0.072,"rank":43.5,"hrank":27.33,"imp":20.653,"train_time":263.04,"predict_time":0.071,"imputed_pct":0.0,"hardware":"CPU","elo_ci":"+46\/-53","imputed":false},{"position":50,"method":"RandomForest","variant":"Tuned + Ens.","family":"Tree-based","url":"https:\/\/link.springer.com\/article\/10.1023\/A:1010933404324","family_symbol":"\ud83c\udf33","verified":true,"elo":1171.0,"score":0.059,"rank":44.23,"hrank":29.92,"imp":20.921,"train_time":373.24,"predict_time":0.771,"imputed_pct":0.0,"hardware":"CPU","elo_ci":"+54\/-47","imputed":false},{"position":51,"method":"FastaiMLP","variant":"Tuned","family":"Neural Network","url":"https:\/\/arxiv.org\/abs\/2003.06505","family_symbol":"\ud83e\udde0\ud83d\udd01","verified":true,"elo":1147.0,"score":0.044,"rank":45.97,"hrank":32.19,"imp":21.177,"train_time":593.24,"predict_time":0.306,"imputed_pct":0.0,"hardware":"CPU","elo_ci":"+52\/-60","imputed":false},{"position":52,"method":"RandomForest","variant":"Tuned","family":"Tree-based","url":"https:\/\/link.springer.com\/article\/10.1023\/A:1010933404324","family_symbol":"\ud83c\udf33","verified":true,"elo":1137.0,"score":0.04,"rank":46.67,"hrank":29.24,"imp":21.625,"train_time":373.24,"predict_time":0.085,"imputed_pct":0.0,"hardware":"CPU","elo_ci":"+50\/-45","imputed":false},{"position":53,"method":"TabSTAR","variant":"Tuned","family":"Foundation Model","url":"https:\/\/arxiv.org\/abs\/2505.18125","family_symbol":"\ud83e\udde0\u26a1","verified":true,"elo":1098.0,"score":0.124,"rank":49.38,"hrank":16.29,"imp":25.658,"train_time":28729.74,"predict_time":4.268,"imputed_pct":0.0,"hardware":"GPU","elo_ci":"+76\/-84","imputed":false},{"position":54,"method":"TabSTAR","variant":"Tuned + Ens.","family":"Foundation Model","url":"https:\/\/arxiv.org\/abs\/2505.18125","family_symbol":"\ud83e\udde0\u26a1","verified":true,"elo":1097.0,"score":0.122,"rank":49.47,"hrank":15.55,"imp":25.674,"train_time":28729.74,"predict_time":18.811,"imputed_pct":0.0,"hardware":"GPU","elo_ci":"+80\/-83","imputed":false},{"position":55,"method":"iLTM","variant":"Default","family":"Foundation Model","url":"https:\/\/arxiv.org\/abs\/2511.15941","family_symbol":"\ud83e\udde0\u26a1","verified":true,"elo":1095.0,"score":0.036,"rank":49.63,"hrank":34.56,"imp":23.099,"train_time":296.64,"predict_time":68.173,"imputed_pct":0.0,"hardware":"GPU","elo_ci":"+47\/-56","imputed":false},{"position":56,"method":"PerpetualBooster","variant":"Tuned + Ens.","family":"Tree-based","url":"https:\/\/perpetual-ml.com\/","family_symbol":"\ud83c\udf33","verified":true,"elo":1089.0,"score":0.021,"rank":50.02,"hrank":40.57,"imp":26.514,"train_time":185.31,"predict_time":0.6,"imputed_pct":0.0,"hardware":"CPU","elo_ci":"+44\/-46","imputed":false},{"position":57,"method":"TorchMLP","variant":"Default","family":"Neural Network","url":"https:\/\/arxiv.org\/abs\/2003.06505","family_symbol":"\ud83e\udde0\ud83d\udd01","verified":true,"elo":1074.0,"score":0.008,"rank":50.98,"hrank":40.22,"imp":22.899,"train_time":9.99,"predict_time":0.126,"imputed_pct":0.0,"hardware":"CPU","elo_ci":"+34\/-42","imputed":false},{"position":58,"method":"PerpetualBooster","variant":"Tuned","family":"Tree-based","url":"https:\/\/perpetual-ml.com\/","family_symbol":"\ud83c\udf33","verified":true,"elo":1050.0,"score":0.008,"rank":52.5,"hrank":41.36,"imp":27.869,"train_time":185.31,"predict_time":0.258,"imputed_pct":0.0,"hardware":"CPU","elo_ci":"+47\/-50","imputed":false},{"position":59,"method":"xRFM","variant":"Default","family":"Other","url":"https:\/\/arxiv.org\/abs\/2508.10053","family_symbol":"\u2753","verified":true,"elo":1043.0,"score":0.026,"rank":52.94,"hrank":45.21,"imp":26.531,"train_time":3.23,"predict_time":0.919,"imputed_pct":0.0,"hardware":"GPU","elo_ci":"+60\/-70","imputed":false},{"position":60,"method":"ExtraTrees","variant":"Default","family":"Tree-based","url":"https:\/\/link.springer.com\/article\/10.1007\/s10994-006-6226-1","family_symbol":"\ud83c\udf33","verified":true,"elo":1009.0,"score":0.011,"rank":54.98,"hrank":48.42,"imp":26.251,"train_time":1.87,"predict_time":0.283,"imputed_pct":0.0,"hardware":"CPU","elo_ci":"+50\/-67","imputed":false},{"position":61,"method":"FastaiMLP","variant":"Default","family":"Neural Network","url":"https:\/\/arxiv.org\/abs\/2003.06505","family_symbol":"\ud83e\udde0\ud83d\udd01","verified":true,"elo":1008.0,"score":0.006,"rank":55.05,"hrank":40.65,"imp":25.756,"train_time":2.86,"predict_time":0.373,"imputed_pct":0.0,"hardware":"CPU","elo_ci":"+58\/-62","imputed":false},{"position":62,"method":"RandomForest","variant":"Default","family":"Tree-based","url":"https:\/\/link.springer.com\/article\/10.1023\/A:1010933404324","family_symbol":"\ud83c\udf33","verified":true,"elo":1000.0,"score":0.002,"rank":55.5,"hrank":50.86,"imp":26.342,"train_time":0.43,"predict_time":0.054,"imputed_pct":0.0,"hardware":"CPU","elo_ci":"+47\/-47","imputed":false},{"position":63,"method":"KNN","variant":"Tuned + Ens.","family":"Baseline","url":"https:\/\/scikit-learn.org\/stable\/modules\/neighbors.html","family_symbol":"\ud83d\udccf","verified":true,"elo":998.0,"score":0.015,"rank":55.64,"hrank":39.66,"imp":27.893,"train_time":129.08,"predict_time":1.801,"imputed_pct":0.0,"hardware":"CPU","elo_ci":"+61\/-76","imputed":false},{"position":64,"method":"TabSTAR","variant":"Default","family":"Foundation Model","url":"https:\/\/arxiv.org\/abs\/2505.18125","family_symbol":"\ud83e\udde0\u26a1","verified":true,"elo":994.0,"score":0.076,"rank":55.81,"hrank":24.62,"imp":30.521,"train_time":384.75,"predict_time":5.348,"imputed_pct":0.0,"hardware":"GPU","elo_ci":"+90\/-104","imputed":false},{"position":65,"method":"Linear","variant":"Tuned + Ens.","family":"Baseline","url":"https:\/\/scikit-learn.org\/stable\/modules\/linear_model.html","family_symbol":"\ud83d\udccf","verified":true,"elo":966.0,"score":0.03,"rank":57.36,"hrank":41.65,"imp":33.743,"train_time":237.63,"predict_time":0.424,"imputed_pct":0.0,"hardware":"CPU","elo_ci":"+64\/-100","imputed":false},{"position":66,"method":"Linear","variant":"Tuned","family":"Baseline","url":"https:\/\/scikit-learn.org\/stable\/modules\/linear_model.html","family_symbol":"\ud83d\udccf","verified":true,"elo":940.0,"score":0.021,"rank":58.64,"hrank":43.46,"imp":34.282,"train_time":237.63,"predict_time":0.085,"imputed_pct":0.0,"hardware":"CPU","elo_ci":"+71\/-106","imputed":false},{"position":67,"method":"PerpetualBooster","variant":"Default","family":"Tree-based","url":"https:\/\/perpetual-ml.com\/","family_symbol":"\ud83c\udf33","verified":true,"elo":936.0,"score":0.0,"rank":58.83,"hrank":46.17,"imp":31.801,"train_time":27.32,"predict_time":0.029,"imputed_pct":0.0,"hardware":"CPU","elo_ci":"+43\/-57","imputed":false},{"position":68,"method":"KNN","variant":"Tuned","family":"Baseline","url":"https:\/\/scikit-learn.org\/stable\/modules\/neighbors.html","family_symbol":"\ud83d\udccf","verified":true,"elo":891.0,"score":0.008,"rank":60.89,"hrank":47.67,"imp":32.845,"train_time":129.08,"predict_time":0.18,"imputed_pct":0.0,"hardware":"CPU","elo_ci":"+61\/-101","imputed":false},{"position":69,"method":"Linear","variant":"Default","family":"Baseline","url":"https:\/\/scikit-learn.org\/stable\/modules\/linear_model.html","family_symbol":"\ud83d\udccf","verified":true,"elo":861.0,"score":0.013,"rank":62.11,"hrank":48.29,"imp":36.884,"train_time":1.19,"predict_time":0.12,"imputed_pct":0.0,"hardware":"CPU","elo_ci":"+69\/-119","imputed":false},{"position":70,"method":"KNN","variant":"Default","family":"Baseline","url":"https:\/\/scikit-learn.org\/stable\/modules\/neighbors.html","family_symbol":"\ud83d\udccf","verified":true,"elo":655.0,"score":0.0,"rank":67.89,"hrank":61.26,"imp":46.03,"train_time":0.19,"predict_time":0.036,"imputed_pct":0.0,"hardware":"CPU","elo_ci":"+78\/-99","imputed":false}]; const NS = "http://www.w3.org/2000/svg"; @@ -910,8 +910,8 @@ postHeight(); return; } - // No medals here: this table is the full ranking, so the position column - // already says who is where. They belong to the cross-subset overview. + // No medals here: this table is the full ranking and already carries the + // position column, so podium marks only added a second, competing ordering. const heat = new Map(); for (const col of cols) if (col.heatmap) heat.set(col.key, bounds(rows, col)); diff --git a/data/imputation_no/splits_all/tasks_all/datasets_all/pareto_front_explorer.html b/data/imputation_no/splits_all/tasks_all/datasets_all/pareto_front_explorer.html index 5f21c295571a12c799ceb59992ff6ceb3f302d9c..770eec1bf5d82bea4eb04fc3349ee3f36efa0e7c 100644 --- a/data/imputation_no/splits_all/tasks_all/datasets_all/pareto_front_explorer.html +++ b/data/imputation_no/splits_all/tasks_all/datasets_all/pareto_front_explorer.html @@ -334,7 +334,7 @@ (function () { "use strict"; const CONFIG = {"mode": "scatter", "title": null, "metrics": [{"key": "imp", "label": "Improvability (%)", "axisLabel": "Improvability (%) \u2014 lower is better", "lowerBetter": true, "fromZero": true, "decimals": 1, "suffix": "%"}, {"key": "elo", "label": "Elo", "axisLabel": "Elo \u2014 higher is better", "lowerBetter": false, "fromZero": false, "decimals": 0, "suffix": ""}], "xAxes": [{"key": "x_infer", "label": "Inference time", "axisLabel": "Inference time per 1K samples (s), median \u2014 log scale", "short": "Inference (s/1K, median)"}], "chipsSide": "left"}; - const POINTS = [{"method":"CatBoost","family":"Tree-based","x_infer":0.0248961767,"imp":15.5244408181,"elo":1378.5,"imputed":false,"imputed_pct":0.0,"variant":"Default"},{"method":"CatBoost","family":"Tree-based","x_infer":0.0380928654,"imp":14.8850630485,"elo":1408.1,"imputed":false,"imputed_pct":0.0,"variant":"Tuned"},{"method":"CatBoost","family":"Tree-based","x_infer":0.3442282032,"imp":14.655679873,"elo":1421.5,"imputed":false,"imputed_pct":0.0,"variant":"Tuned + Ens."},{"method":"ChimeraBoost","family":"Tree-based","x_infer":0.0325848325,"imp":18.6570877535,"elo":1263.9,"imputed":false,"imputed_pct":0.0,"variant":"Default"},{"method":"ChimeraBoost","family":"Tree-based","x_infer":0.0336512776,"imp":17.5510939543,"elo":1308.4,"imputed":false,"imputed_pct":0.0,"variant":"Tuned"},{"method":"ChimeraBoost","family":"Tree-based","x_infer":0.4040760969,"imp":17.2125514645,"elo":1333.4,"imputed":false,"imputed_pct":0.0,"variant":"Tuned + Ens."},{"method":"EBM","family":"Tree-based","x_infer":0.0143528648,"imp":20.2553633192,"elo":1203.8,"imputed":false,"imputed_pct":0.0,"variant":"Default"},{"method":"EBM","family":"Tree-based","x_infer":0.0150308987,"imp":19.3136682806,"elo":1235.3,"imputed":false,"imputed_pct":0.0,"variant":"Tuned"},{"method":"EBM","family":"Tree-based","x_infer":0.1412900124,"imp":18.6722157117,"elo":1271.5,"imputed":false,"imputed_pct":0.0,"variant":"Tuned + Ens."},{"method":"ExtraTrees","family":"Tree-based","x_infer":0.2834081321,"imp":26.1764963285,"elo":1009.0,"imputed":false,"imputed_pct":0.0,"variant":"Default"},{"method":"ExtraTrees","family":"Tree-based","x_infer":0.0712129939,"imp":20.5638085151,"elo":1180.5,"imputed":false,"imputed_pct":0.0,"variant":"Tuned"},{"method":"ExtraTrees","family":"Tree-based","x_infer":0.7662402325,"imp":19.7773891991,"elo":1208.5,"imputed":false,"imputed_pct":0.0,"variant":"Tuned + Ens."},{"method":"FastaiMLP","family":"Neural Network","x_infer":0.3731781389,"imp":25.6818545229,"elo":1007.8,"imputed":false,"imputed_pct":0.0,"variant":"Default"},{"method":"FastaiMLP","family":"Neural Network","x_infer":0.3063915412,"imp":21.0963185218,"elo":1146.9,"imputed":false,"imputed_pct":0.0,"variant":"Tuned"},{"method":"FastaiMLP","family":"Neural Network","x_infer":4.4666950703,"imp":19.6768711642,"elo":1207.0,"imputed":false,"imputed_pct":0.0,"variant":"Tuned + Ens."},{"method":"LightGBM","family":"Tree-based","x_infer":0.1416787942,"imp":19.3442915921,"elo":1186.4,"imputed":false,"imputed_pct":0.0,"variant":"Default"},{"method":"LightGBM","family":"Tree-based","x_infer":0.3337603531,"imp":15.6876116943,"elo":1385.7,"imputed":false,"imputed_pct":0.0,"variant":"Tuned"},{"method":"LightGBM","family":"Tree-based","x_infer":2.638673831,"imp":15.0334967342,"elo":1432.9,"imputed":false,"imputed_pct":0.0,"variant":"Tuned + Ens."},{"method":"LimiX","family":"Foundation Model","x_infer":6.2423742585,"imp":15.5263025459,"elo":1362.6,"imputed":false,"imputed_pct":0.0,"variant":"Default"},{"method":"ModernNCA","family":"Neural Network","x_infer":0.3073466784,"imp":19.1942294206,"elo":1248.1,"imputed":false,"imputed_pct":0.0,"variant":"Default"},{"method":"ModernNCA","family":"Neural Network","x_infer":0.4747242315,"imp":16.0439590519,"elo":1355.2,"imputed":false,"imputed_pct":0.0,"variant":"Tuned"},{"method":"ModernNCA","family":"Neural Network","x_infer":8.1379168675,"imp":15.5985458077,"elo":1389.4,"imputed":false,"imputed_pct":0.0,"variant":"Tuned + Ens."},{"method":"PerpetualBooster","family":"Tree-based","x_infer":0.0285805066,"imp":31.7480551938,"elo":936.2,"imputed":false,"imputed_pct":0.0,"variant":"Default"},{"method":"PerpetualBooster","family":"Tree-based","x_infer":0.2581384468,"imp":27.801643493,"elo":1050.3,"imputed":false,"imputed_pct":0.0,"variant":"Tuned"},{"method":"PerpetualBooster","family":"Tree-based","x_infer":0.5997539679,"imp":26.4456425257,"elo":1088.7,"imputed":false,"imputed_pct":0.0,"variant":"Tuned + Ens."},{"method":"RandomForest","family":"Tree-based","x_infer":0.0535405758,"imp":26.2650042304,"elo":1000.0,"imputed":false,"imputed_pct":0.0,"variant":"Default"},{"method":"RandomForest","family":"Tree-based","x_infer":0.0852279186,"imp":21.5350457807,"elo":1137.1,"imputed":false,"imputed_pct":0.0,"variant":"Tuned"},{"method":"RandomForest","family":"Tree-based","x_infer":0.7709478321,"imp":20.8284764332,"elo":1170.8,"imputed":false,"imputed_pct":0.0,"variant":"Tuned + Ens."},{"method":"RealMLP","family":"Neural Network","x_infer":1.6887954948,"imp":18.5692266729,"elo":1229.7,"imputed":false,"imputed_pct":0.0,"variant":"Default"},{"method":"RealMLP","family":"Neural Network","x_infer":0.663132055,"imp":14.2021817976,"elo":1426.4,"imputed":false,"imputed_pct":0.0,"variant":"Tuned"},{"method":"RealMLP","family":"Neural Network","x_infer":11.9749853765,"imp":12.8814924929,"elo":1507.9,"imputed":false,"imputed_pct":0.0,"variant":"Tuned + Ens."},{"method":"RealTabPFN-2.5","family":"Foundation Model","x_infer":0.6449695981,"imp":11.6604512027,"elo":1524.4,"imputed":false,"imputed_pct":0.0,"variant":"Default"},{"method":"RealTabPFN-2.5","family":"Foundation Model","x_infer":1.2178786994,"imp":11.1161483399,"elo":1554.3,"imputed":false,"imputed_pct":0.0,"variant":"Tuned"},{"method":"RealTabPFN-2.5","family":"Foundation Model","x_infer":8.9076602204,"imp":10.4265657302,"elo":1594.9,"imputed":false,"imputed_pct":0.0,"variant":"Tuned + Ens."},{"method":"SAP-RPT-OSS","family":"Foundation Model","x_infer":2.0745579697,"imp":18.2783205087,"elo":1283.4,"imputed":false,"imputed_pct":0.0,"variant":"Default"},{"method":"TabDPT","family":"Foundation Model","x_infer":43.7378122226,"imp":17.2252827702,"elo":1324.7,"imputed":false,"imputed_pct":0.0,"variant":"Default"},{"method":"TabDPT","family":"Foundation Model","x_infer":39.9597364603,"imp":14.9360532408,"elo":1402.6,"imputed":false,"imputed_pct":0.0,"variant":"Tuned"},{"method":"TabDPT","family":"Foundation Model","x_infer":286.5373788357,"imp":13.7879250832,"elo":1457.8,"imputed":false,"imputed_pct":0.0,"variant":"Tuned + Ens."},{"method":"TabDPT-Turbo","family":"Foundation Model","x_infer":0.1824194029,"imp":13.9998432493,"elo":1459.4,"imputed":false,"imputed_pct":0.0,"variant":"Default"},{"method":"TabFM","family":"Foundation Model","x_infer":6.9854290718,"imp":4.0744823648,"elo":1791.7,"imputed":false,"imputed_pct":0.0,"variant":"Default"},{"method":"TabICLv2","family":"Foundation Model","x_infer":0.1505492146,"imp":10.1751538315,"elo":1593.7,"imputed":false,"imputed_pct":0.0,"variant":"Default"},{"method":"TabM","family":"Neural Network","x_infer":0.2435252328,"imp":17.0001433318,"elo":1297.6,"imputed":false,"imputed_pct":0.0,"variant":"Default"},{"method":"TabM","family":"Neural Network","x_infer":0.2512939462,"imp":14.951713351,"elo":1393.6,"imputed":false,"imputed_pct":0.0,"variant":"Tuned"},{"method":"TabM","family":"Neural Network","x_infer":2.2468658586,"imp":14.0806210836,"elo":1450.2,"imputed":false,"imputed_pct":0.0,"variant":"Tuned + Ens."},{"method":"TabPFN-2.6","family":"Foundation Model","x_infer":0.5548034626,"imp":10.7505455244,"elo":1619.8,"imputed":false,"imputed_pct":0.0,"variant":"Default"},{"method":"TabPFN-3","family":"Foundation Model","x_infer":0.3988194969,"imp":9.3282966338,"elo":1665.3,"imputed":false,"imputed_pct":0.0,"variant":"Default"},{"method":"TabSTAR","family":"Foundation Model","x_infer":5.3480868421,"imp":30.4556099407,"elo":993.3,"imputed":false,"imputed_pct":0.0,"variant":"Default"},{"method":"TabSTAR","family":"Foundation Model","x_infer":4.2680534632,"imp":25.584307557,"elo":1097.3,"imputed":false,"imputed_pct":0.0,"variant":"Tuned"},{"method":"TabSTAR","family":"Foundation Model","x_infer":18.8114333153,"imp":25.6000754281,"elo":1096.0,"imputed":false,"imputed_pct":0.0,"variant":"Tuned + Ens."},{"method":"TabSwift","family":"Foundation Model","x_infer":0.0719683769,"imp":16.0807432886,"elo":1350.4,"imputed":false,"imputed_pct":0.0,"variant":"Default"},{"method":"TorchMLP","family":"Neural Network","x_infer":0.1258046788,"imp":22.8151308708,"elo":1074.3,"imputed":false,"imputed_pct":0.0,"variant":"Default"},{"method":"TorchMLP","family":"Neural Network","x_infer":0.1311128328,"imp":18.876878914,"elo":1211.5,"imputed":false,"imputed_pct":0.0,"variant":"Tuned"},{"method":"TorchMLP","family":"Neural Network","x_infer":1.95162543,"imp":17.1611523587,"elo":1285.2,"imputed":false,"imputed_pct":0.0,"variant":"Tuned + Ens."},{"method":"XGBoost","family":"Tree-based","x_infer":0.1226232881,"imp":18.7922233221,"elo":1214.2,"imputed":false,"imputed_pct":0.0,"variant":"Default"},{"method":"XGBoost","family":"Tree-based","x_infer":0.3080760155,"imp":16.0650443256,"elo":1350.1,"imputed":false,"imputed_pct":0.0,"variant":"Tuned"},{"method":"XGBoost","family":"Tree-based","x_infer":1.689445163,"imp":15.7538195428,"elo":1375.0,"imputed":false,"imputed_pct":0.0,"variant":"Tuned + Ens."},{"method":"iLTM","family":"Foundation Model","x_infer":68.173296937,"imp":23.0236433289,"elo":1094.5,"imputed":false,"imputed_pct":0.0,"variant":"Default"},{"method":"iLTM","family":"Foundation Model","x_infer":62.1299021172,"imp":17.1472473791,"elo":1295.0,"imputed":false,"imputed_pct":0.0,"variant":"Tuned"},{"method":"iLTM","family":"Foundation Model","x_infer":464.3696034625,"imp":15.3035551324,"elo":1404.5,"imputed":false,"imputed_pct":0.0,"variant":"Tuned + Ens."},{"method":"xRFM","family":"Other","x_infer":0.9186215876,"imp":26.4448633944,"elo":1043.4,"imputed":false,"imputed_pct":0.0,"variant":"Default"},{"method":"xRFM","family":"Other","x_infer":0.1302743502,"imp":17.4492208687,"elo":1300.2,"imputed":false,"imputed_pct":0.0,"variant":"Tuned"},{"method":"xRFM","family":"Other","x_infer":2.5492595349,"imp":16.2842179754,"elo":1347.6,"imputed":false,"imputed_pct":0.0,"variant":"Tuned + Ens."}]; + const POINTS = [{"method":"CatBoost","family":"Tree-based","x_infer":0.0248961767,"imp":15.6200095478,"elo":1378.1,"imputed":false,"imputed_pct":0.0,"variant":"Default"},{"method":"CatBoost","family":"Tree-based","x_infer":0.0380928654,"imp":14.9895007684,"elo":1407.5,"imputed":false,"imputed_pct":0.0,"variant":"Tuned"},{"method":"CatBoost","family":"Tree-based","x_infer":0.3442282032,"imp":14.7607909959,"elo":1420.7,"imputed":false,"imputed_pct":0.0,"variant":"Tuned + Ens."},{"method":"ChimeraBoost","family":"Tree-based","x_infer":0.0325848325,"imp":18.7428371591,"elo":1264.1,"imputed":false,"imputed_pct":0.0,"variant":"Default"},{"method":"ChimeraBoost","family":"Tree-based","x_infer":0.0336512776,"imp":17.6390064396,"elo":1308.3,"imputed":false,"imputed_pct":0.0,"variant":"Tuned"},{"method":"ChimeraBoost","family":"Tree-based","x_infer":0.4040760969,"imp":17.3013236306,"elo":1333.3,"imputed":false,"imputed_pct":0.0,"variant":"Tuned + Ens."},{"method":"EBM","family":"Tree-based","x_infer":0.0143528648,"imp":20.3425878366,"elo":1204.0,"imputed":false,"imputed_pct":0.0,"variant":"Default"},{"method":"EBM","family":"Tree-based","x_infer":0.0150308987,"imp":19.404230681,"elo":1235.1,"imputed":false,"imputed_pct":0.0,"variant":"Tuned"},{"method":"EBM","family":"Tree-based","x_infer":0.1412900124,"imp":18.7650868126,"elo":1271.2,"imputed":false,"imputed_pct":0.0,"variant":"Tuned + Ens."},{"method":"EXAONE-Tabular","family":"Foundation Model","x_infer":0.7116187745,"imp":8.4592366669,"elo":1730.9,"imputed":false,"imputed_pct":0.0,"variant":"Default"},{"method":"ExtraTrees","family":"Tree-based","x_infer":0.2834081321,"imp":26.2505007698,"elo":1009.1,"imputed":false,"imputed_pct":0.0,"variant":"Default"},{"method":"ExtraTrees","family":"Tree-based","x_infer":0.0712129939,"imp":20.6534617875,"elo":1180.8,"imputed":false,"imputed_pct":0.0,"variant":"Tuned"},{"method":"ExtraTrees","family":"Tree-based","x_infer":0.7662402325,"imp":19.8703315482,"elo":1208.6,"imputed":false,"imputed_pct":0.0,"variant":"Tuned + Ens."},{"method":"FastaiMLP","family":"Neural Network","x_infer":0.3731781389,"imp":25.7560397346,"elo":1007.9,"imputed":false,"imputed_pct":0.0,"variant":"Default"},{"method":"FastaiMLP","family":"Neural Network","x_infer":0.3063915412,"imp":21.1770121065,"elo":1147.0,"imputed":false,"imputed_pct":0.0,"variant":"Tuned"},{"method":"FastaiMLP","family":"Neural Network","x_infer":4.4666950703,"imp":19.7613139472,"elo":1207.2,"imputed":false,"imputed_pct":0.0,"variant":"Tuned + Ens."},{"method":"LightGBM","family":"Tree-based","x_infer":0.1416787942,"imp":19.4277933708,"elo":1186.2,"imputed":false,"imputed_pct":0.0,"variant":"Default"},{"method":"LightGBM","family":"Tree-based","x_infer":0.3337603531,"imp":15.7822684576,"elo":1385.1,"imputed":false,"imputed_pct":0.0,"variant":"Tuned"},{"method":"LightGBM","family":"Tree-based","x_infer":2.638673831,"imp":15.1277624618,"elo":1431.9,"imputed":false,"imputed_pct":0.0,"variant":"Tuned + Ens."},{"method":"LimiX","family":"Foundation Model","x_infer":6.2423742585,"imp":15.6449326714,"elo":1362.9,"imputed":false,"imputed_pct":0.0,"variant":"Default"},{"method":"ModernNCA","family":"Neural Network","x_infer":0.3073466784,"imp":19.2861084271,"elo":1248.1,"imputed":false,"imputed_pct":0.0,"variant":"Default"},{"method":"ModernNCA","family":"Neural Network","x_infer":0.4747242315,"imp":16.1450749632,"elo":1355.0,"imputed":false,"imputed_pct":0.0,"variant":"Tuned"},{"method":"ModernNCA","family":"Neural Network","x_infer":8.1379168675,"imp":15.718323019,"elo":1388.8,"imputed":false,"imputed_pct":0.0,"variant":"Tuned + Ens."},{"method":"PerpetualBooster","family":"Tree-based","x_infer":0.0285805066,"imp":31.8012480584,"elo":936.4,"imputed":false,"imputed_pct":0.0,"variant":"Default"},{"method":"PerpetualBooster","family":"Tree-based","x_infer":0.2581384468,"imp":27.8693615641,"elo":1050.5,"imputed":false,"imputed_pct":0.0,"variant":"Tuned"},{"method":"PerpetualBooster","family":"Tree-based","x_infer":0.5997539679,"imp":26.514122025,"elo":1088.8,"imputed":false,"imputed_pct":0.0,"variant":"Tuned + Ens."},{"method":"RandomForest","family":"Tree-based","x_infer":0.0535405758,"imp":26.3418034922,"elo":1000.0,"imputed":false,"imputed_pct":0.0,"variant":"Default"},{"method":"RandomForest","family":"Tree-based","x_infer":0.0852279186,"imp":21.6251682906,"elo":1137.3,"imputed":false,"imputed_pct":0.0,"variant":"Tuned"},{"method":"RandomForest","family":"Tree-based","x_infer":0.7709478321,"imp":20.9211770037,"elo":1170.9,"imputed":false,"imputed_pct":0.0,"variant":"Tuned + Ens."},{"method":"RealMLP","family":"Neural Network","x_infer":1.6887954948,"imp":18.6539090086,"elo":1229.6,"imputed":false,"imputed_pct":0.0,"variant":"Default"},{"method":"RealMLP","family":"Neural Network","x_infer":0.663132055,"imp":14.3227357912,"elo":1426.1,"imputed":false,"imputed_pct":0.0,"variant":"Tuned"},{"method":"RealMLP","family":"Neural Network","x_infer":11.9749853765,"imp":13.0107106134,"elo":1506.9,"imputed":false,"imputed_pct":0.0,"variant":"Tuned + Ens."},{"method":"RealTabPFN-2.5","family":"Foundation Model","x_infer":0.6449695981,"imp":11.8168246492,"elo":1523.9,"imputed":false,"imputed_pct":0.0,"variant":"Default"},{"method":"RealTabPFN-2.5","family":"Foundation Model","x_infer":1.2178786994,"imp":11.2662142626,"elo":1554.1,"imputed":false,"imputed_pct":0.0,"variant":"Tuned"},{"method":"RealTabPFN-2.5","family":"Foundation Model","x_infer":8.9076602204,"imp":10.5680188209,"elo":1594.1,"imputed":false,"imputed_pct":0.0,"variant":"Tuned + Ens."},{"method":"SAP-RPT-OSS","family":"Foundation Model","x_infer":2.0745579697,"imp":18.4186771756,"elo":1283.7,"imputed":false,"imputed_pct":0.0,"variant":"Default"},{"method":"TabDPT","family":"Foundation Model","x_infer":43.7378122226,"imp":17.3030926477,"elo":1325.6,"imputed":false,"imputed_pct":0.0,"variant":"Default"},{"method":"TabDPT","family":"Foundation Model","x_infer":39.9597364603,"imp":15.0254985395,"elo":1403.5,"imputed":false,"imputed_pct":0.0,"variant":"Tuned"},{"method":"TabDPT","family":"Foundation Model","x_infer":286.5373788357,"imp":13.8890483579,"elo":1458.3,"imputed":false,"imputed_pct":0.0,"variant":"Tuned + Ens."},{"method":"TabDPT-Turbo","family":"Foundation Model","x_infer":0.1824194029,"imp":14.0933457754,"elo":1460.1,"imputed":false,"imputed_pct":0.0,"variant":"Default"},{"method":"TabFM","family":"Foundation Model","x_infer":6.9854290718,"imp":4.2213606284,"elo":1796.5,"imputed":false,"imputed_pct":0.0,"variant":"Default"},{"method":"TabICLv2","family":"Foundation Model","x_infer":0.1505492146,"imp":10.2864296966,"elo":1594.6,"imputed":false,"imputed_pct":0.0,"variant":"Default"},{"method":"TabM","family":"Neural Network","x_infer":0.2435252328,"imp":17.0915561476,"elo":1297.4,"imputed":false,"imputed_pct":0.0,"variant":"Default"},{"method":"TabM","family":"Neural Network","x_infer":0.2512939462,"imp":15.0510291455,"elo":1393.2,"imputed":false,"imputed_pct":0.0,"variant":"Tuned"},{"method":"TabM","family":"Neural Network","x_infer":2.2468658586,"imp":14.1831873202,"elo":1449.6,"imputed":false,"imputed_pct":0.0,"variant":"Tuned + Ens."},{"method":"TabPFN-2.6","family":"Foundation Model","x_infer":0.5548034626,"imp":10.8559938251,"elo":1617.7,"imputed":false,"imputed_pct":0.0,"variant":"Default"},{"method":"TabPFN-3","family":"Foundation Model","x_infer":0.3988194969,"imp":9.4515957616,"elo":1666.5,"imputed":false,"imputed_pct":0.0,"variant":"Default"},{"method":"TabSTAR","family":"Foundation Model","x_infer":5.3480868421,"imp":30.5205882357,"elo":994.4,"imputed":false,"imputed_pct":0.0,"variant":"Default"},{"method":"TabSTAR","family":"Foundation Model","x_infer":4.2680534632,"imp":25.6579555922,"elo":1098.3,"imputed":false,"imputed_pct":0.0,"variant":"Tuned"},{"method":"TabSTAR","family":"Foundation Model","x_infer":18.8114333153,"imp":25.673611395,"elo":1097.0,"imputed":false,"imputed_pct":0.0,"variant":"Tuned + Ens."},{"method":"TabSwift","family":"Foundation Model","x_infer":0.0719683769,"imp":16.1724691324,"elo":1350.9,"imputed":false,"imputed_pct":0.0,"variant":"Default"},{"method":"TorchMLP","family":"Neural Network","x_infer":0.1258046788,"imp":22.8993426387,"elo":1074.2,"imputed":false,"imputed_pct":0.0,"variant":"Default"},{"method":"TorchMLP","family":"Neural Network","x_infer":0.1311128328,"imp":18.9628981696,"elo":1211.2,"imputed":false,"imputed_pct":0.0,"variant":"Tuned"},{"method":"TorchMLP","family":"Neural Network","x_infer":1.95162543,"imp":17.2517823375,"elo":1284.8,"imputed":false,"imputed_pct":0.0,"variant":"Tuned + Ens."},{"method":"XGBoost","family":"Tree-based","x_infer":0.1226232881,"imp":18.8853960378,"elo":1213.8,"imputed":false,"imputed_pct":0.0,"variant":"Default"},{"method":"XGBoost","family":"Tree-based","x_infer":0.3080760155,"imp":16.1657677256,"elo":1349.4,"imputed":false,"imputed_pct":0.0,"variant":"Tuned"},{"method":"XGBoost","family":"Tree-based","x_infer":1.689445163,"imp":15.854289026,"elo":1374.3,"imputed":false,"imputed_pct":0.0,"variant":"Tuned + Ens."},{"method":"iLTM","family":"Foundation Model","x_infer":68.173296937,"imp":23.099045033,"elo":1094.6,"imputed":false,"imputed_pct":0.0,"variant":"Default"},{"method":"iLTM","family":"Foundation Model","x_infer":62.1299021172,"imp":17.2336005806,"elo":1294.9,"imputed":false,"imputed_pct":0.0,"variant":"Tuned"},{"method":"iLTM","family":"Foundation Model","x_infer":464.3696034625,"imp":15.389676446,"elo":1404.0,"imputed":false,"imputed_pct":0.0,"variant":"Tuned + Ens."},{"method":"xRFM","family":"Other","x_infer":0.9186215876,"imp":26.5307202676,"elo":1043.4,"imputed":false,"imputed_pct":0.0,"variant":"Default"},{"method":"xRFM","family":"Other","x_infer":0.1302743502,"imp":17.5544320233,"elo":1300.1,"imputed":false,"imputed_pct":0.0,"variant":"Tuned"},{"method":"xRFM","family":"Other","x_infer":2.5492595349,"imp":16.3905048218,"elo":1347.3,"imputed":false,"imputed_pct":0.0,"variant":"Tuned + Ens."}]; const NS = "http://www.w3.org/2000/svg"; diff --git a/data/imputation_no/splits_all/tasks_all/datasets_all/pareto_front_improvability_vs_time_infer.png.zip b/data/imputation_no/splits_all/tasks_all/datasets_all/pareto_front_improvability_vs_time_infer.png.zip index 4fc1fb4204508c99d06bda231a76d5f1158f40df..c3d810b958591b24518ae0170a236eb9bd390b4b 100644 --- a/data/imputation_no/splits_all/tasks_all/datasets_all/pareto_front_improvability_vs_time_infer.png.zip +++ b/data/imputation_no/splits_all/tasks_all/datasets_all/pareto_front_improvability_vs_time_infer.png.zip @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:2d4ed0a9b275cd8602f4dbb38201fd6cc8918d6896ec8e750f4a8cb6d2d2196d -size 264726 +oid sha256:c29ea6fe56fc243fc8caf7551e8e6f8084595fc95c66bdb753cfc87a5ed3c333 +size 274796 diff --git a/data/imputation_no/splits_all/tasks_all/datasets_all/pareto_front_points.csv b/data/imputation_no/splits_all/tasks_all/datasets_all/pareto_front_points.csv index e688f14ac54aa54b2d277e03c470ded541c23a31..2ce4f9ef36e06b978ac3b844a6fdbd51d1ae8f29 100644 --- a/data/imputation_no/splits_all/tasks_all/datasets_all/pareto_front_points.csv +++ b/data/imputation_no/splits_all/tasks_all/datasets_all/pareto_front_points.csv @@ -1,63 +1,64 @@ method,variant,family,x_infer,x_train,imp,elo,imputed,imputed_pct -TabFM,Default,Foundation Model,6.985429071794801,38.805908867807105,4.074482364796911,1791.7,False,0.0 -TabPFN-3,Default,Foundation Model,0.3988194969093643,3.6584650300170622,9.32829663379356,1665.3,False,0.0 -TabPFN-2.6,Default,Foundation Model,0.5548034626013535,5.482579877802832,10.750545524440877,1619.8,False,0.0 -RealTabPFN-2.5,Tuned + Ens.,Foundation Model,8.907660220396073,2040.2228420972824,10.4265657302182,1594.9,False,0.0 -TabICLv2,Default,Foundation Model,0.15054921462491172,2.0524528171730156,10.175153831453988,1593.7,False,0.0 -RealTabPFN-2.5,Tuned,Foundation Model,1.217878699427239,2040.2228420972824,11.11614833993503,1554.3,False,0.0 -RealTabPFN-2.5,Default,Foundation Model,0.644969598113518,5.809798529870024,11.66045120270563,1524.4,False,0.0 -RealMLP,Tuned + Ens.,Neural Network,11.974985376498216,2950.724447694827,12.881492492932924,1507.9,False,0.0 -TabDPT-Turbo,Default,Foundation Model,0.18241940288749647,2.06768405148355,13.999843249302529,1459.4,False,0.0 -TabDPT,Tuned + Ens.,Foundation Model,286.53737883567806,4910.377306237253,13.787925083199838,1457.8,False,0.0 -TabM,Tuned + Ens.,Neural Network,2.246865858634313,2450.1270774379373,14.080621083598398,1450.2,False,0.0 -LightGBM,Tuned + Ens.,Tree-based,2.638673830958025,417.0474735648702,15.033496734155674,1432.9,False,0.0 -RealMLP,Tuned,Neural Network,0.663132054971364,2950.724447694827,14.202181797556316,1426.4,False,0.0 -CatBoost,Tuned + Ens.,Tree-based,0.3442282032056243,1346.210691180287,14.655679872953623,1421.5,False,0.0 -CatBoost,Tuned,Tree-based,0.03809286543601384,1346.210691180287,14.885063048465241,1408.1,False,0.0 -iLTM,Tuned + Ens.,Foundation Model,464.3696034625343,12685.081550183375,15.303555132389759,1404.5,False,0.0 -TabDPT,Tuned,Foundation Model,39.95973646029047,4910.377306237253,14.936053240835797,1402.6,False,0.0 -TabM,Tuned,Neural Network,0.25129394622912726,2450.1270774379373,14.951713350982976,1393.6,False,0.0 -ModernNCA,Tuned + Ens.,Neural Network,8.137916867537678,4621.665633563503,15.598545807661889,1389.4,False,0.0 -LightGBM,Tuned,Tree-based,0.3337603531487198,417.0474735648702,15.687611694327014,1385.7,False,0.0 -CatBoost,Default,Tree-based,0.02489617665608724,5.876676442022475,15.524440818146829,1378.5,False,0.0 -XGBoost,Tuned + Ens.,Tree-based,1.6894451629541256,693.4907982506384,15.753819542791774,1375.0,False,0.0 -LimiX,Default,Foundation Model,6.2423742585450634,26.459751268166386,15.526302545921503,1362.6,False,0.0 -ModernNCA,Tuned,Neural Network,0.4747242314576746,4621.665633563503,16.043959051908736,1355.2,False,0.0 -TabSwift,Default,Foundation Model,0.07196837694453946,1.1753394519011986,16.080743288565568,1350.4,False,0.0 -XGBoost,Tuned,Tree-based,0.3080760155405317,693.4907982506384,16.065044325649545,1350.1,False,0.0 -xRFM,Tuned + Ens.,Other,2.549259534903935,846.8860702336882,16.284217975386294,1347.6,False,0.0 -ChimeraBoost,Tuned + Ens.,Tree-based,0.4040760969279745,427.39175038402846,17.212551464527458,1333.4,False,0.0 -TabDPT,Default,Foundation Model,43.737812222627376,47.64668788909912,17.225282770201353,1324.7,False,0.0 -ChimeraBoost,Tuned,Tree-based,0.033651277628640924,427.39175038402846,17.551093954280812,1308.4,False,0.0 -xRFM,Tuned,Other,0.13027435019228545,846.8860702336882,17.449220868675354,1300.2,False,0.0 -TabM,Default,Neural Network,0.2435252328360982,7.486463968520102,17.00014333184639,1297.6,False,0.0 -iLTM,Tuned,Foundation Model,62.129902117180094,12685.081550183375,17.147247379128842,1295.0,False,0.0 -TorchMLP,Tuned + Ens.,Neural Network,1.9516254299583915,2875.520340774675,17.161152358690444,1285.2,False,0.0 -SAP-RPT-OSS,Default,Foundation Model,2.0745579697490073,14.11326684554418,18.278320508713314,1283.4,False,0.0 -EBM,Tuned + Ens.,Tree-based,0.14129001235465857,1711.2458519871225,18.672215711732292,1271.5,False,0.0 -ChimeraBoost,Default,Tree-based,0.032584832539708695,1.9886321895080843,18.657087753455368,1263.9,False,0.0 -ModernNCA,Default,Neural Network,0.3073466783584545,14.869686344646652,19.19422942055122,1248.1,False,0.0 -EBM,Tuned,Tree-based,0.015030898720760692,1711.2458519871225,19.313668280627464,1235.3,False,0.0 -RealMLP,Default,Neural Network,1.688795494836301,10.05564923800873,18.569226672945717,1229.7,False,0.0 -XGBoost,Default,Tree-based,0.12262328807300621,1.9409389396340444,18.792223322104178,1214.2,False,0.0 -TorchMLP,Tuned,Neural Network,0.131112832826372,2875.520340774675,18.87687891401735,1211.5,False,0.0 -ExtraTrees,Tuned + Ens.,Tree-based,0.7662402324832739,263.0379305178949,19.777389199117614,1208.5,False,0.0 -FastaiMLP,Tuned + Ens.,Neural Network,4.466695070266724,593.237788402893,19.676871164178753,1207.0,False,0.0 -EBM,Default,Tree-based,0.014352864847965238,6.673146850898109,20.25536331915339,1203.8,False,0.0 -LightGBM,Default,Tree-based,0.14167879422505697,1.9600326879612946,19.344291592086606,1186.4,False,0.0 -ExtraTrees,Tuned,Tree-based,0.07121299392949774,263.0379305178949,20.563808515074136,1180.5,False,0.0 -RandomForest,Tuned + Ens.,Tree-based,0.7709478321252661,373.23710550957964,20.828476433186648,1170.8,False,0.0 -FastaiMLP,Tuned,Neural Network,0.306391541190021,593.237788402893,21.096318521849227,1146.9,False,0.0 -RandomForest,Tuned,Tree-based,0.08522791862487794,373.23710550957964,21.53504578065053,1137.1,False,0.0 -TabSTAR,Tuned,Foundation Model,4.26805346323971,28729.737365569254,25.584307557024438,1097.3,False,0.0 -TabSTAR,Tuned + Ens.,Foundation Model,18.8114333152771,28729.737365569254,25.600075428140812,1096.0,False,0.0 -iLTM,Default,Foundation Model,68.17329693701195,296.63929176158115,23.023643328901947,1094.5,False,0.0 -PerpetualBooster,Tuned + Ens.,Tree-based,0.5997539679209392,185.306705652078,26.44564252568807,1088.7,False,0.0 -TorchMLP,Default,Neural Network,0.1258046787872722,9.99256321379882,22.815130870764776,1074.3,False,0.0 -PerpetualBooster,Tuned,Tree-based,0.2581384468078613,185.306705652078,27.8016434929848,1050.3,False,0.0 -xRFM,Default,Other,0.9186215875564591,3.2328671519382346,26.44486339439917,1043.4,False,0.0 -ExtraTrees,Default,Tree-based,0.28340813208977944,1.8719729433204921,26.176496328475334,1009.0,False,0.0 -FastaiMLP,Default,Neural Network,0.37317813888351864,2.856149195889622,25.681854522852465,1007.8,False,0.0 -RandomForest,Default,Tree-based,0.05354057584727896,0.43432508267329906,26.26500423038912,1000.0,False,0.0 -TabSTAR,Default,Foundation Model,5.348086842145453,384.74563018139656,30.455609940739038,993.3,False,0.0 -PerpetualBooster,Default,Tree-based,0.028580506642659504,27.322832322961396,31.748055193831643,936.2,False,0.0 +TabFM,Default,Foundation Model,6.985429071794801,38.805908867807105,4.22136062837628,1796.5,False,0.0 +EXAONE-Tabular,Default,Foundation Model,0.7116187744782574,5.938352790523042,8.459236666944285,1730.9,False,0.0 +TabPFN-3,Default,Foundation Model,0.3988194969093643,3.6584650300170622,9.4515957616276,1666.5,False,0.0 +TabPFN-2.6,Default,Foundation Model,0.5548034626013535,5.482579877802832,10.855993825085497,1617.7,False,0.0 +TabICLv2,Default,Foundation Model,0.15054921462491172,2.0524528171730156,10.286429696619065,1594.6,False,0.0 +RealTabPFN-2.5,Tuned + Ens.,Foundation Model,8.907660220396073,2040.2228420972824,10.56801882093792,1594.1,False,0.0 +RealTabPFN-2.5,Tuned,Foundation Model,1.217878699427239,2040.2228420972824,11.266214262572207,1554.1,False,0.0 +RealTabPFN-2.5,Default,Foundation Model,0.644969598113518,5.809798529870024,11.816824649188513,1523.9,False,0.0 +RealMLP,Tuned + Ens.,Neural Network,11.974985376498216,2950.724447694827,13.010710613435252,1506.9,False,0.0 +TabDPT-Turbo,Default,Foundation Model,0.18241940288749647,2.06768405148355,14.093345775382668,1460.1,False,0.0 +TabDPT,Tuned + Ens.,Foundation Model,286.53737883567806,4910.377306237253,13.889048357905951,1458.3,False,0.0 +TabM,Tuned + Ens.,Neural Network,2.246865858634313,2450.1270774379373,14.183187320160137,1449.6,False,0.0 +LightGBM,Tuned + Ens.,Tree-based,2.638673830958025,417.0474735648702,15.127762461800327,1431.9,False,0.0 +RealMLP,Tuned,Neural Network,0.663132054971364,2950.724447694827,14.322735791203359,1426.1,False,0.0 +CatBoost,Tuned + Ens.,Tree-based,0.3442282032056243,1346.210691180287,14.76079099588859,1420.7,False,0.0 +CatBoost,Tuned,Tree-based,0.03809286543601384,1346.210691180287,14.989500768439012,1407.5,False,0.0 +iLTM,Tuned + Ens.,Foundation Model,464.3696034625343,12685.081550183375,15.389676445995967,1404.0,False,0.0 +TabDPT,Tuned,Foundation Model,39.95973646029047,4910.377306237253,15.025498539506055,1403.5,False,0.0 +TabM,Tuned,Neural Network,0.25129394622912726,2450.1270774379373,15.051029145535963,1393.2,False,0.0 +ModernNCA,Tuned + Ens.,Neural Network,8.137916867537678,4621.665633563503,15.718323019013766,1388.8,False,0.0 +LightGBM,Tuned,Tree-based,0.3337603531487198,417.0474735648702,15.782268457640653,1385.1,False,0.0 +CatBoost,Default,Tree-based,0.02489617665608724,5.876676442022475,15.620009547755826,1378.1,False,0.0 +XGBoost,Tuned + Ens.,Tree-based,1.6894451629541256,693.4907982506384,15.854289025994706,1374.3,False,0.0 +LimiX,Default,Foundation Model,6.2423742585450634,26.459751268166386,15.644932671433173,1362.9,False,0.0 +ModernNCA,Tuned,Neural Network,0.4747242314576746,4621.665633563503,16.145074963200155,1355.0,False,0.0 +TabSwift,Default,Foundation Model,0.07196837694453946,1.1753394519011986,16.172469132370797,1350.9,False,0.0 +XGBoost,Tuned,Tree-based,0.3080760155405317,693.4907982506384,16.165767725579002,1349.4,False,0.0 +xRFM,Tuned + Ens.,Other,2.549259534903935,846.8860702336882,16.390504821808612,1347.3,False,0.0 +ChimeraBoost,Tuned + Ens.,Tree-based,0.4040760969279745,427.39175038402846,17.301323630588904,1333.3,False,0.0 +TabDPT,Default,Foundation Model,43.737812222627376,47.64668788909912,17.303092647694434,1325.6,False,0.0 +ChimeraBoost,Tuned,Tree-based,0.033651277628640924,427.39175038402846,17.639006439587792,1308.3,False,0.0 +xRFM,Tuned,Other,0.13027435019228545,846.8860702336882,17.554432023333604,1300.1,False,0.0 +TabM,Default,Neural Network,0.2435252328360982,7.486463968520102,17.091556147563978,1297.4,False,0.0 +iLTM,Tuned,Foundation Model,62.129902117180094,12685.081550183375,17.233600580592974,1294.9,False,0.0 +TorchMLP,Tuned + Ens.,Neural Network,1.9516254299583915,2875.520340774675,17.251782337471433,1284.8,False,0.0 +SAP-RPT-OSS,Default,Foundation Model,2.0745579697490073,14.11326684554418,18.41867717562571,1283.7,False,0.0 +EBM,Tuned + Ens.,Tree-based,0.14129001235465857,1711.2458519871225,18.76508681262809,1271.2,False,0.0 +ChimeraBoost,Default,Tree-based,0.032584832539708695,1.9886321895080843,18.742837159119354,1264.1,False,0.0 +ModernNCA,Default,Neural Network,0.3073466783584545,14.869686344646652,19.286108427148875,1248.1,False,0.0 +EBM,Tuned,Tree-based,0.015030898720760692,1711.2458519871225,19.404230681048215,1235.1,False,0.0 +RealMLP,Default,Neural Network,1.688795494836301,10.05564923800873,18.653909008622165,1229.6,False,0.0 +XGBoost,Default,Tree-based,0.12262328807300621,1.9409389396340444,18.885396037838486,1213.8,False,0.0 +TorchMLP,Tuned,Neural Network,0.131112832826372,2875.520340774675,18.962898169609016,1211.2,False,0.0 +ExtraTrees,Tuned + Ens.,Tree-based,0.7662402324832739,263.0379305178949,19.87033154823864,1208.6,False,0.0 +FastaiMLP,Tuned + Ens.,Neural Network,4.466695070266724,593.237788402893,19.761313947164325,1207.2,False,0.0 +EBM,Default,Tree-based,0.014352864847965238,6.673146850898109,20.342587836643332,1204.0,False,0.0 +LightGBM,Default,Tree-based,0.14167879422505697,1.9600326879612946,19.427793370805485,1186.2,False,0.0 +ExtraTrees,Tuned,Tree-based,0.07121299392949774,263.0379305178949,20.65346178750952,1180.8,False,0.0 +RandomForest,Tuned + Ens.,Tree-based,0.7709478321252661,373.23710550957964,20.92117700372369,1170.9,False,0.0 +FastaiMLP,Tuned,Neural Network,0.306391541190021,593.237788402893,21.177012106459046,1147.0,False,0.0 +RandomForest,Tuned,Tree-based,0.08522791862487794,373.23710550957964,21.625168290562062,1137.3,False,0.0 +TabSTAR,Tuned,Foundation Model,4.26805346323971,28729.737365569254,25.65795559224915,1098.3,False,0.0 +TabSTAR,Tuned + Ens.,Foundation Model,18.8114333152771,28729.737365569254,25.67361139501965,1097.0,False,0.0 +iLTM,Default,Foundation Model,68.17329693701195,296.63929176158115,23.099045032994717,1094.6,False,0.0 +PerpetualBooster,Tuned + Ens.,Tree-based,0.5997539679209392,185.306705652078,26.514122025026992,1088.8,False,0.0 +TorchMLP,Default,Neural Network,0.1258046787872722,9.99256321379882,22.899342638655952,1074.2,False,0.0 +PerpetualBooster,Tuned,Tree-based,0.2581384468078613,185.306705652078,27.86936156411881,1050.5,False,0.0 +xRFM,Default,Other,0.9186215875564591,3.2328671519382346,26.530720267625274,1043.4,False,0.0 +ExtraTrees,Default,Tree-based,0.28340813208977944,1.8719729433204921,26.250500769785724,1009.1,False,0.0 +FastaiMLP,Default,Neural Network,0.37317813888351864,2.856149195889622,25.756039734640524,1007.9,False,0.0 +RandomForest,Default,Tree-based,0.05354057584727896,0.43432508267329906,26.34180349218188,1000.0,False,0.0 +TabSTAR,Default,Foundation Model,5.348086842145453,384.74563018139656,30.52058823574647,994.4,False,0.0 +PerpetualBooster,Default,Tree-based,0.028580506642659504,27.322832322961396,31.80124805838688,936.4,False,0.0 diff --git a/data/imputation_no/splits_all/tasks_all/datasets_all/pareto_n_configs_imp.png.zip b/data/imputation_no/splits_all/tasks_all/datasets_all/pareto_n_configs_imp.png.zip index ad5669cabf737d007e2f6aca0ebba3d0a239fcc6..1b2b03e346c8f4fabbfc742be18a42b66535102c 100644 --- a/data/imputation_no/splits_all/tasks_all/datasets_all/pareto_n_configs_imp.png.zip +++ b/data/imputation_no/splits_all/tasks_all/datasets_all/pareto_n_configs_imp.png.zip @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:036d780a68a23a2cff1d510eff9811401d88a26d7c4bad96d0ef045517bfa96a -size 293312 +oid sha256:1c2ac2d2e0219478a6f458b24b360d786adb17833219fc8f35a604e3a383f640 +size 301629 diff --git a/data/imputation_no/splits_all/tasks_all/datasets_all/tuning-impact-elo.png.zip b/data/imputation_no/splits_all/tasks_all/datasets_all/tuning-impact-elo.png.zip index b2cffa2a5ad56ceeddd2bf574f5f384cf9cfe9f2..7e71ceb9033d8cb5beb2cbcd57a3bb74dda2f1fd 100644 --- a/data/imputation_no/splits_all/tasks_all/datasets_all/tuning-impact-elo.png.zip +++ b/data/imputation_no/splits_all/tasks_all/datasets_all/tuning-impact-elo.png.zip @@ -1,3 +1,3 @@ version https://git-lfs.github.com/spec/v1 -oid sha256:2a267fd19bf63d233f1b8548b957a1c2486976a3da3ecf03e3879cf153f323cc -size 105318 +oid sha256:7a5c584577888952ef87850796a3d621fbcc09fb86edaeb2829b9d5b510976cf +size 109317 diff --git a/data/imputation_no/splits_all/tasks_all/datasets_all/tuning_trajectories.csv b/data/imputation_no/splits_all/tasks_all/datasets_all/tuning_trajectories.csv index d35ca7bbdf0697b906bd9c6c65fb0b8dca0a3c9b..bb1a55fb05276a55c65f57a39d2ae73b9abef7a2 100644 --- a/data/imputation_no/splits_all/tasks_all/datasets_all/tuning_trajectories.csv +++ b/data/imputation_no/splits_all/tasks_all/datasets_all/tuning_trajectories.csv @@ -1,163 +1,164 @@ method,family,x_train,x_infer,imp,elo,n_configs,imputed,imputed_pct -CatBoost,Tree-based,5.876676442022475,0.02489617665608724,15.545773630432649,1392.9,1.0,False,0.0 -CatBoost,Tree-based,11.667825125586923,0.06336535482356946,15.118241955137155,1413.1,2.0,False,0.0 -CatBoost,Tree-based,31.910651762403862,0.11771650741480857,14.848578649025981,1430.8,5.0,False,0.0 -CatBoost,Tree-based,62.57212517570079,0.1714353465164701,14.747756855813183,1435.8,10.0,False,0.0 -CatBoost,Tree-based,155.90493556689327,0.22162205257045137,14.640617769474321,1441.2,25.0,False,0.0 -CatBoost,Tree-based,317.34591689097914,0.2666794694644051,14.63114463814291,1441.7,50.0,False,0.0 -CatBoost,Tree-based,662.4830210733933,0.31052760007315267,14.647846561269168,1440.2,100.0,False,0.0 -CatBoost,Tree-based,998.8498259224127,0.340735055101516,14.667356369432946,1438.8,150.0,False,0.0 -CatBoost,Tree-based,1346.210691180287,0.344857002822471,14.674240095020256,1437.7,201.0,False,0.0 -ChimeraBoost,Tree-based,1.9886321895080843,0.032584832539708695,18.678063113906685,1273.2,1.0,False,0.0 -ChimeraBoost,Tree-based,4.43838502030943,0.06094444009053425,18.336632808534546,1294.1,2.0,False,0.0 -ChimeraBoost,Tree-based,10.070184857413143,0.1129020180967119,18.11679730595953,1307.5,5.0,False,0.0 -ChimeraBoost,Tree-based,20.473417816445547,0.17710346910688612,17.925973974729047,1318.0,10.0,False,0.0 -ChimeraBoost,Tree-based,52.71737575557528,0.24549033666046208,17.653702793765603,1330.8,25.0,False,0.0 -ChimeraBoost,Tree-based,106.3941874905326,0.2926890222079797,17.502292085061757,1338.7,50.0,False,0.0 -ChimeraBoost,Tree-based,212.82074782052993,0.3120254129614995,17.33931475498968,1346.0,100.0,False,0.0 -ChimeraBoost,Tree-based,318.99571798382766,0.3237207715925697,17.270003424423187,1348.8,150.0,False,0.0 -ChimeraBoost,Tree-based,427.39175038402846,0.4040760969279745,17.232645726102113,1351.7,201.0,False,0.0 -EBM,Tree-based,6.673146850898109,0.014352864847965238,20.275933791848207,1208.2,1.0,False,0.0 -EBM,Tree-based,16.576534345676816,0.030424724199585355,19.878683743638497,1222.7,2.0,False,0.0 -EBM,Tree-based,47.738558903301914,0.052842477784541445,19.453429661489196,1243.5,5.0,False,0.0 -EBM,Tree-based,89.41107246991604,0.0702878348384009,19.272670456493394,1252.8,10.0,False,0.0 -EBM,Tree-based,218.44812470797967,0.09747169882795435,19.043819281561163,1263.4,25.0,False,0.0 -EBM,Tree-based,440.25457359654257,0.11411218718429054,18.902341183605127,1271.7,50.0,False,0.0 -EBM,Tree-based,856.7647171052814,0.12772155113709277,18.78039180099042,1278.4,100.0,False,0.0 -EBM,Tree-based,1266.0910927829382,0.13762164045367722,18.736984316643394,1281.9,150.0,False,0.0 -EBM,Tree-based,1711.2458519871225,0.1384442291079833,18.69454550084852,1284.9,201.0,False,0.0 -ExtraTrees,Tree-based,1.8719729433204921,0.28340813208977944,26.19484841286617,1009.7,1.0,False,0.0 -ExtraTrees,Tree-based,3.1259596547771116,0.299267558256785,24.34885423133725,1053.5,2.0,False,0.0 -ExtraTrees,Tree-based,6.772191225672007,0.3233863551370985,21.682680228814046,1124.8,5.0,False,0.0 -ExtraTrees,Tree-based,13.288092341970305,0.39167570468287294,20.760558802976053,1165.9,10.0,False,0.0 -ExtraTrees,Tree-based,32.8419339595057,0.4883309222469785,20.10698573925726,1197.4,25.0,False,0.0 -ExtraTrees,Tree-based,65.49386348647792,0.56779316986261,19.944577260601946,1207.8,50.0,False,0.0 -ExtraTrees,Tree-based,130.83697151858863,0.6638268741052196,19.834039933936086,1214.7,100.0,False,0.0 -ExtraTrees,Tree-based,196.22448049705483,0.7241674769499868,19.791012646492206,1218.9,150.0,False,0.0 -ExtraTrees,Tree-based,263.0379305178949,0.7662402324832739,19.798451388325567,1219.9,201.0,False,0.0 -FastaiMLP,Neural Network,2.856149195889622,0.37317813888351864,25.701345794106835,1012.4,1.0,False,0.0 -FastaiMLP,Neural Network,5.5343795003616165,0.6641420918672822,24.502014126684376,1049.9,2.0,False,0.0 -FastaiMLP,Neural Network,14.55103442753632,1.1863927783450354,22.653470439457397,1116.6,5.0,False,0.0 -FastaiMLP,Neural Network,29.7233431539627,1.7323440480232237,21.746441627597715,1149.9,10.0,False,0.0 -FastaiMLP,Neural Network,72.5444980812019,2.392081415581216,20.845819728470904,1180.3,25.0,False,0.0 -FastaiMLP,Neural Network,145.75437119097205,3.1392189600815126,20.39162631932187,1196.9,50.0,False,0.0 -FastaiMLP,Neural Network,293.94750082788664,3.8048101374308265,20.04889167045696,1207.2,100.0,False,0.0 -FastaiMLP,Neural Network,441.8525399102105,4.207369513432185,19.826636643046832,1215.4,150.0,False,0.0 -FastaiMLP,Neural Network,593.237788402893,4.45581943154335,19.693526906883832,1220.6,201.0,False,0.0 -LightGBM,Tree-based,1.9600326879612946,0.14167879422505697,19.36479217453779,1188.7,1.0,False,0.0 -LightGBM,Tree-based,4.146536889124949,0.6924533471949544,17.853666842868513,1267.1,2.0,False,0.0 -LightGBM,Tree-based,10.390743356824784,0.9306682768676963,16.68551387028264,1346.2,5.0,False,0.0 -LightGBM,Tree-based,20.270167537261766,1.197546153728451,16.08404982178837,1386.9,10.0,False,0.0 -LightGBM,Tree-based,51.48744833401502,1.50753196069901,15.52809643468747,1421.6,25.0,False,0.0 -LightGBM,Tree-based,103.68557420134589,1.674099392656769,15.31584330152404,1437.2,50.0,False,0.0 -LightGBM,Tree-based,207.54351147839122,2.0960239899208046,15.155215757412046,1447.7,100.0,False,0.0 -LightGBM,Tree-based,310.2926532568141,2.2957707359829054,15.093355735444023,1451.2,150.0,False,0.0 -LightGBM,Tree-based,417.0474735648702,2.638673830958025,15.056180468340754,1453.8,201.0,False,0.0 -LimiX,Foundation Model,26.459751268166386,6.2423742585450634,15.4843630348554,1381.2,1.0,False,0.0 -ModernNCA,Neural Network,14.869686344646652,0.3073466783584545,19.214634854684004,1258.8,1.0,False,0.0 -ModernNCA,Neural Network,40.51716877036181,0.8515440487861633,17.923544469309995,1296.1,2.0,False,0.0 -ModernNCA,Neural Network,111.44983108853623,1.746831801986318,16.005200974400687,1381.4,5.0,False,0.0 -ModernNCA,Neural Network,224.92944042496907,2.5416509890556336,15.514065161520602,1406.1,10.0,False,0.0 -ModernNCA,Neural Network,554.8880523029388,4.032296481132508,15.005455193102883,1431.4,25.0,False,0.0 -ModernNCA,Neural Network,1145.4516650488413,5.448522539138794,15.052960698398241,1428.7,50.0,False,0.0 -ModernNCA,Neural Network,2295.4928354707367,6.931406373977661,15.312154787900578,1419.9,100.0,False,0.0 -ModernNCA,Neural Network,3433.7924746693766,7.728596683131394,15.511417949160927,1411.9,150.0,False,0.0 -ModernNCA,Neural Network,4621.665633563503,8.137916867537678,15.625323263302192,1406.7,201.0,False,0.0 -PerpetualBooster,Tree-based,27.322832322961396,0.028580506642659504,32.25100598233364,936.7,1.0,False,0.0 -PerpetualBooster,Tree-based,60.33046553317705,0.23376323541005453,30.003028571926745,1001.6,2.0,False,0.0 -PerpetualBooster,Tree-based,157.39589541510517,0.5732905745506287,26.632005416466946,1088.2,5.0,False,0.0 -PerpetualBooster,Tree-based,185.306705652078,0.5997539679209392,26.460216259374146,1095.6,6.0,False,0.0 -RandomForest,Tree-based,0.43432508267329906,0.05354057584727896,26.293240248827328,999.4,1.0,False,0.0 -RandomForest,Tree-based,2.300696812702446,0.11877280473082547,23.63129314546007,1058.9,2.0,False,0.0 -RandomForest,Tree-based,7.869405165361387,0.23579108802464072,22.294500271065914,1101.7,5.0,False,0.0 -RandomForest,Tree-based,17.24737248948874,0.34062966640910297,21.59813362204917,1131.3,10.0,False,0.0 -RandomForest,Tree-based,45.0373615696637,0.5043278961482858,21.108236480738782,1162.1,25.0,False,0.0 -RandomForest,Tree-based,91.39172333285852,0.5878338983942606,20.976376645285406,1170.7,50.0,False,0.0 -RandomForest,Tree-based,184.69967416087664,0.6965050641895468,20.889389653111095,1176.8,100.0,False,0.0 -RandomForest,Tree-based,277.8099565315396,0.7595438384705165,20.8512167325917,1179.4,150.0,False,0.0 -RandomForest,Tree-based,373.23710550957964,0.7784693873625508,20.846353319166443,1181.1,201.0,False,0.0 -RealMLP,Neural Network,10.05564923800873,1.688795494836301,18.590239453484394,1235.3,1.0,False,0.0 -RealMLP,Neural Network,24.67055944083978,2.4593014940325313,16.23691942847831,1345.9,2.0,False,0.0 -RealMLP,Neural Network,69.64352733395047,3.7162198129739616,14.560737750122787,1438.2,5.0,False,0.0 -RealMLP,Neural Network,141.15299775889818,5.676482463380541,13.942792911633916,1472.7,10.0,False,0.0 -RealMLP,Neural Network,364.60114695980747,7.847718735760291,13.467173212944909,1502.2,25.0,False,0.0 -RealMLP,Neural Network,736.9754853515838,9.767676536105808,13.247150637288602,1515.4,50.0,False,0.0 -RealMLP,Neural Network,1469.265397304651,11.259146773020426,13.064776423132237,1524.1,100.0,False,0.0 -RealMLP,Neural Network,2197.532004168663,12.053178920512211,12.972203262678384,1529.9,150.0,False,0.0 -RealMLP,Neural Network,2950.724447694827,12.377824840296128,12.904667349438354,1532.8,201.0,False,0.0 -RealTabPFN-2.5,Foundation Model,5.809798529870024,0.644969598113518,11.683982092880285,1538.3,1.0,False,0.0 -RealTabPFN-2.5,Foundation Model,16.695089235760015,1.4031929555826625,11.614346808353798,1544.7,2.0,False,0.0 -RealTabPFN-2.5,Foundation Model,45.81806103711327,2.874227223348986,11.2924871479828,1561.1,5.0,False,0.0 -RealTabPFN-2.5,Foundation Model,96.05664533202847,4.09552534439249,11.111189934935469,1578.5,10.0,False,0.0 -RealTabPFN-2.5,Foundation Model,245.14109091684222,5.753407464362681,10.868476470961895,1599.1,25.0,False,0.0 -RealTabPFN-2.5,Foundation Model,498.5667116885384,6.850076117335025,10.686824052693943,1608.6,50.0,False,0.0 -RealTabPFN-2.5,Foundation Model,1015.1487598759433,7.792073605314185,10.568015672278301,1613.1,100.0,False,0.0 -RealTabPFN-2.5,Foundation Model,1526.7130408425285,8.999759905935408,10.507654206859593,1614.3,150.0,False,0.0 -RealTabPFN-2.5,Foundation Model,2040.2228420972824,9.030681926100565,10.455540657911111,1613.3,201.0,False,0.0 -SAP-RPT-OSS,Foundation Model,14.11326684554418,2.0745579697490073,18.2986171533795,1297.7,1.0,False,0.0 -TabDPT,Foundation Model,47.64668788909912,43.737812222627376,17.244714242411675,1337.6,1.0,False,0.0 -TabDPT,Foundation Model,70.40721927502358,57.29898182743639,16.427375964657816,1364.1,2.0,False,0.0 -TabDPT,Foundation Model,132.97854094385033,81.7804361753873,15.612978495749699,1399.5,5.0,False,0.0 -TabDPT,Foundation Model,243.77644681542583,113.41332740687801,15.25847431382481,1415.5,10.0,False,0.0 -TabDPT,Foundation Model,599.14526392591,170.40307060248648,14.58792821121514,1442.4,25.0,False,0.0 -TabDPT,Foundation Model,1224.6320092924832,211.92435767541818,14.246562277368833,1456.9,50.0,False,0.0 -TabDPT,Foundation Model,2440.704045474264,252.46699651351815,14.025515152987841,1467.0,100.0,False,0.0 -TabDPT,Foundation Model,3652.693914186981,264.8770310030767,13.88361683040771,1472.2,150.0,False,0.0 -TabDPT,Foundation Model,4910.377306237253,289.5741517328534,13.812001220438422,1474.3,201.0,False,0.0 -TabDPT-Turbo,Foundation Model,2.06768405148355,0.18241940288749647,14.0203361291699,1472.3,1.0,False,0.0 -TabFM,Foundation Model,38.805908867807105,6.985429071794801,4.0944582802657035,1807.7,1.0,False,0.0 -TabICLv2,Foundation Model,2.0524528171730156,0.15054921462491172,10.19897564153584,1611.8,1.0,False,0.0 -TabM,Neural Network,7.486463968520102,0.2435252328360982,17.02187952020658,1307.7,1.0,False,0.0 -TabM,Neural Network,16.686302531690117,0.4863020309973096,16.495752283556467,1334.9,2.0,False,0.0 -TabM,Neural Network,56.596063695315806,0.890570759276549,15.85723403452073,1370.8,5.0,False,0.0 -TabM,Neural Network,118.7995551510581,0.9696677240363341,15.285453852205777,1405.2,10.0,False,0.0 -TabM,Neural Network,301.71685986726413,1.2874446083056301,14.793023765894237,1431.2,25.0,False,0.0 -TabM,Neural Network,606.7957589349577,1.5958040707920327,14.504939209135886,1447.7,50.0,False,0.0 -TabM,Neural Network,1211.551032832957,1.9425270855949641,14.301458534985233,1459.4,100.0,False,0.0 -TabM,Neural Network,1826.0696865509133,2.1383865310957564,14.157021352875951,1465.8,150.0,False,0.0 -TabM,Neural Network,2450.1270774379373,2.236152469066152,14.101948299098552,1471.1,201.0,False,0.0 -TabPFN-2.6,Foundation Model,5.482579877802832,0.5548034626013535,10.773892289839509,1643.6,1.0,False,0.0 -TabPFN-3,Foundation Model,3.6584650300170622,0.3988194969093643,9.350273566614813,1683.7,1.0,False,0.0 -TabSTAR,Foundation Model,384.74563018139656,5.348086842145453,30.47412388440593,997.8,1.0,False,0.0 -TabSTAR,Foundation Model,579.5314694237709,6.864771890640259,30.347038882975998,1006.6,2.0,False,0.0 -TabSTAR,Foundation Model,986.9188087141514,7.884261027648034,30.080943935841937,1014.9,5.0,False,0.0 -TabSTAR,Foundation Model,1626.205745840524,9.437109846485178,29.421057045559767,1032.7,10.0,False,0.0 -TabSTAR,Foundation Model,3523.6508469471287,12.411686028639474,28.225052033106863,1055.9,25.0,False,0.0 -TabSTAR,Foundation Model,7090.437342984086,14.581168526013691,27.026195240095387,1076.7,50.0,False,0.0 -TabSTAR,Foundation Model,14236.603036992845,17.05862640937169,26.355370232204596,1092.3,100.0,False,0.0 -TabSTAR,Foundation Model,21385.328840252965,18.39983408008061,25.942905489351652,1103.1,150.0,False,0.0 -TabSTAR,Foundation Model,28729.737365569254,18.8114333152771,25.62018492142047,1114.2,201.0,False,0.0 -TabSwift,Foundation Model,1.1753394519011986,0.07196837694453946,16.10208326307144,1367.0,1.0,False,0.0 -TorchMLP,Neural Network,9.99256321379882,0.1258046787872722,22.82955610374213,1082.6,1.0,False,0.0 -TorchMLP,Neural Network,23.39767303078301,0.25026397500859937,21.109494917973674,1136.9,2.0,False,0.0 -TorchMLP,Neural Network,67.83522273002498,0.5082028825487114,19.58502204023533,1188.5,5.0,False,0.0 -TorchMLP,Neural Network,150.5961763502482,0.7461273476481438,18.859173580368292,1222.0,10.0,False,0.0 -TorchMLP,Neural Network,358.89142527924406,1.1062947766294757,18.17773359177303,1252.0,25.0,False,0.0 -TorchMLP,Neural Network,711.8242682675321,1.3608592505593902,17.762854174437347,1273.5,50.0,False,0.0 -TorchMLP,Neural Network,1402.3570975877033,1.5999240551180054,17.468497616393975,1287.5,100.0,False,0.0 -TorchMLP,Neural Network,2125.061118692563,1.7712720948858605,17.31173997878631,1296.2,150.0,False,0.0 -TorchMLP,Neural Network,2875.520340774675,1.9516254299583915,17.17786611550823,1302.7,201.0,False,0.0 -XGBoost,Tree-based,1.9409389396340444,0.12262328807300621,18.812692339626054,1218.2,1.0,False,0.0 -XGBoost,Tree-based,5.773697624577766,0.549105895360311,17.165162871678664,1301.3,2.0,False,0.0 -XGBoost,Tree-based,17.165802076190833,0.9903293256488429,16.632507902802494,1337.3,5.0,False,0.0 -XGBoost,Tree-based,34.081364319342484,1.180882272831562,16.31489777339226,1358.0,10.0,False,0.0 -XGBoost,Tree-based,86.41550386463979,1.5144136771170538,16.068815450472144,1372.9,25.0,False,0.0 -XGBoost,Tree-based,172.69993584479832,1.6869916704181176,15.96558821702624,1379.4,50.0,False,0.0 -XGBoost,Tree-based,344.2808053206447,1.7329947109908745,15.883217938316573,1385.7,100.0,False,0.0 -XGBoost,Tree-based,515.1408947247787,1.8097831769800434,15.823927924282033,1389.9,150.0,False,0.0 -XGBoost,Tree-based,693.4907982506384,1.7397156137573087,15.775712987807076,1394.4,201.0,False,0.0 -iLTM,Foundation Model,296.63929176158115,68.17329693701195,23.043017100027516,1103.5,1.0,False,0.0 -iLTM,Foundation Model,761.0284006743531,133.58534546802647,20.349313351022555,1173.0,2.0,False,0.0 -iLTM,Foundation Model,2323.5909795410653,253.2846359590774,18.812213351704102,1278.0,5.0,False,0.0 -iLTM,Foundation Model,4948.456215600054,348.32007675170894,17.541943153993884,1341.2,10.0,False,0.0 -iLTM,Foundation Model,12120.256080215093,469.70642335709636,15.35397948820616,1419.4,25.0,False,0.0 -iLTM,Foundation Model,12685.081550183375,463.2685781743115,15.32495866465839,1423.0,26.0,False,0.0 -xRFM,Other,3.2328671519382346,0.9186215875564591,26.46345800176384,1050.2,1.0,False,0.0 -xRFM,Other,7.775795304879809,0.871141043689068,23.22748715206326,1112.9,2.0,False,0.0 -xRFM,Other,20.620430421907656,1.133551260828972,19.273412112959537,1230.3,5.0,False,0.0 -xRFM,Other,41.99625808068535,1.4441868364810944,17.524789542834434,1312.0,10.0,False,0.0 -xRFM,Other,105.70497940399669,1.8072467962280723,16.693771119799536,1350.7,25.0,False,0.0 -xRFM,Other,210.31944482616692,2.1086840459278653,16.424264842001456,1362.8,50.0,False,0.0 -xRFM,Other,422.08708123786937,2.3155613238258024,16.321595045395437,1365.4,100.0,False,0.0 -xRFM,Other,631.9086612835005,2.533833287124123,16.300273763804636,1366.1,150.0,False,0.0 -xRFM,Other,846.8860702336882,2.566047516252313,16.296898496190295,1365.5,201.0,False,0.0 +CatBoost,Tree-based,5.876676442022475,0.02489617665608724,15.63791399748473,1392.9,1.0,False,0.0 +CatBoost,Tree-based,11.667825125586923,0.06336535482356946,15.216867808674916,1413.0,2.0,False,0.0 +CatBoost,Tree-based,31.910651762403862,0.11771650741480857,14.94818787796375,1430.7,5.0,False,0.0 +CatBoost,Tree-based,62.57212517570079,0.1714353465164701,14.84828516569539,1435.6,10.0,False,0.0 +CatBoost,Tree-based,155.90493556689327,0.22162205257045137,14.742038234143475,1440.9,25.0,False,0.0 +CatBoost,Tree-based,317.34591689097914,0.2666794694644051,14.732576971048275,1441.5,50.0,False,0.0 +CatBoost,Tree-based,662.4830210733933,0.31052760007315267,14.749979205666417,1440.0,100.0,False,0.0 +CatBoost,Tree-based,998.8498259224127,0.340735055101516,14.76936594214002,1438.6,150.0,False,0.0 +CatBoost,Tree-based,1346.210691180287,0.344857002822471,14.77621076568045,1437.4,201.0,False,0.0 +ChimeraBoost,Tree-based,1.9886321895080843,0.032584832539708695,18.760157950866805,1273.0,1.0,False,0.0 +ChimeraBoost,Tree-based,4.43838502030943,0.06094444009053425,18.419386306592102,1293.9,2.0,False,0.0 +ChimeraBoost,Tree-based,10.070184857413143,0.1129020180967119,18.19982676471542,1307.4,5.0,False,0.0 +ChimeraBoost,Tree-based,20.473417816445547,0.17710346910688612,18.009556079332253,1317.8,10.0,False,0.0 +ChimeraBoost,Tree-based,52.71737575557528,0.24549033666046208,17.738025195063482,1330.7,25.0,False,0.0 +ChimeraBoost,Tree-based,106.3941874905326,0.2926890222079797,17.58702467912105,1338.6,50.0,False,0.0 +ChimeraBoost,Tree-based,212.82074782052993,0.3120254129614995,17.424392600448193,1345.9,100.0,False,0.0 +ChimeraBoost,Tree-based,318.99571798382766,0.3237207715925697,17.35528674731503,1348.7,150.0,False,0.0 +ChimeraBoost,Tree-based,427.39175038402846,0.4040760969279745,17.317823387799216,1351.6,201.0,False,0.0 +EBM,Tree-based,6.673146850898109,0.014352864847965238,20.360049628893943,1208.0,1.0,False,0.0 +EBM,Tree-based,16.576534345676816,0.030424724199585355,19.96447275657904,1222.5,2.0,False,0.0 +EBM,Tree-based,47.738558903301914,0.052842477784541445,19.541095058781117,1243.2,5.0,False,0.0 +EBM,Tree-based,89.41107246991604,0.0702878348384009,19.360640502605754,1252.4,10.0,False,0.0 +EBM,Tree-based,218.44812470797967,0.09747169882795435,19.132679170665284,1263.0,25.0,False,0.0 +EBM,Tree-based,440.25457359654257,0.11411218718429054,18.991721967214893,1271.3,50.0,False,0.0 +EBM,Tree-based,856.7647171052814,0.12772155113709277,18.869830968548047,1277.9,100.0,False,0.0 +EBM,Tree-based,1266.0910927829382,0.13762164045367722,18.82645869858411,1281.5,150.0,False,0.0 +EBM,Tree-based,1711.2458519871225,0.1384442291079833,18.784148804460514,1284.5,201.0,False,0.0 +EXAONE-Tabular,Foundation Model,5.938352790523042,0.7116187744782574,8.478817108049649,1759.6,1.0,False,0.0 +ExtraTrees,Tree-based,1.8719729433204921,0.28340813208977944,26.26628018396374,1009.8,1.0,False,0.0 +ExtraTrees,Tree-based,3.1259596547771116,0.299267558256785,24.42535811128687,1053.6,2.0,False,0.0 +ExtraTrees,Tree-based,6.772191225672007,0.3233863551370985,21.766827684103284,1124.7,5.0,False,0.0 +ExtraTrees,Tree-based,13.288092341970305,0.39167570468287294,20.84712237377856,1165.7,10.0,False,0.0 +ExtraTrees,Tree-based,32.8419339595057,0.4883309222469785,20.19623590878962,1197.2,25.0,False,0.0 +ExtraTrees,Tree-based,65.49386348647792,0.56779316986261,20.034391682152744,1207.6,50.0,False,0.0 +ExtraTrees,Tree-based,130.83697151858863,0.6638268741052196,19.924741759475758,1214.5,100.0,False,0.0 +ExtraTrees,Tree-based,196.22448049705483,0.7241674769499868,19.88159069768046,1218.7,150.0,False,0.0 +ExtraTrees,Tree-based,263.0379305178949,0.7662402324832739,19.88850464088312,1219.6,201.0,False,0.0 +FastaiMLP,Neural Network,2.856149195889622,0.37317813888351864,25.77287680149793,1012.5,1.0,False,0.0 +FastaiMLP,Neural Network,5.5343795003616165,0.6641420918672822,24.57529443822409,1050.0,2.0,False,0.0 +FastaiMLP,Neural Network,14.55103442753632,1.1863927783450354,22.729962632654857,1116.7,5.0,False,0.0 +FastaiMLP,Neural Network,29.7233431539627,1.7323440480232237,21.824289825917905,1149.9,10.0,False,0.0 +FastaiMLP,Neural Network,72.5444980812019,2.392081415581216,20.925346265302466,1180.3,25.0,False,0.0 +FastaiMLP,Neural Network,145.75437119097205,3.1392189600815126,20.47185863716841,1196.8,50.0,False,0.0 +FastaiMLP,Neural Network,293.94750082788664,3.8048101374308265,20.129820991253542,1207.0,100.0,False,0.0 +FastaiMLP,Neural Network,441.8525399102105,4.207369513432185,19.907885099081074,1215.2,150.0,False,0.0 +FastaiMLP,Neural Network,593.237788402893,4.45581943154335,19.774822978160728,1220.4,201.0,False,0.0 +LightGBM,Tree-based,1.9600326879612946,0.14167879422505697,19.4448896540928,1188.4,1.0,False,0.0 +LightGBM,Tree-based,4.146536889124949,0.6924533471949544,17.93656841658673,1266.6,2.0,False,0.0 +LightGBM,Tree-based,10.390743356824784,0.9306682768676963,16.771313850966514,1345.9,5.0,False,0.0 +LightGBM,Tree-based,20.270167537261766,1.197546153728451,16.171566272782993,1386.7,10.0,False,0.0 +LightGBM,Tree-based,51.48744833401502,1.50753196069901,15.617180669768516,1421.3,25.0,False,0.0 +LightGBM,Tree-based,103.68557420134589,1.674099392656769,15.405528052627144,1436.9,50.0,False,0.0 +LightGBM,Tree-based,207.54351147839122,2.0960239899208046,15.245508295848701,1447.4,100.0,False,0.0 +LightGBM,Tree-based,310.2926532568141,2.2957707359829054,15.184061812495841,1450.9,150.0,False,0.0 +LightGBM,Tree-based,417.0474735648702,2.638673830958025,15.146898091821079,1453.4,201.0,False,0.0 +LimiX,Foundation Model,26.459751268166386,6.2423742585450634,15.599782641486732,1381.5,1.0,False,0.0 +ModernNCA,Neural Network,14.869686344646652,0.3073466783584545,19.30333419721558,1258.5,1.0,False,0.0 +ModernNCA,Neural Network,40.51716877036181,0.8515440487861633,18.012530604303585,1295.6,2.0,False,0.0 +ModernNCA,Neural Network,111.44983108853623,1.746831801986318,16.099297474442,1381.1,5.0,False,0.0 +ModernNCA,Neural Network,224.92944042496907,2.5416509890556336,15.610742417718567,1405.7,10.0,False,0.0 +ModernNCA,Neural Network,554.8880523029388,4.032296481132508,15.105446802053567,1431.1,25.0,False,0.0 +ModernNCA,Neural Network,1145.4516650488413,5.448522539138794,15.158881849306091,1428.5,50.0,False,0.0 +ModernNCA,Neural Network,2295.4928354707367,6.931406373977661,15.420790098943845,1419.7,100.0,False,0.0 +ModernNCA,Neural Network,3433.7924746693766,7.728596683131394,15.624841808319829,1411.8,150.0,False,0.0 +ModernNCA,Neural Network,4621.665633563503,8.137916867537678,15.740818000887991,1406.6,201.0,False,0.0 +PerpetualBooster,Tree-based,27.322832322961396,0.028580506642659504,32.304023635306265,936.7,1.0,False,0.0 +PerpetualBooster,Tree-based,60.33046553317705,0.23376323541005453,30.05760908247524,1001.7,2.0,False,0.0 +PerpetualBooster,Tree-based,157.39589541510517,0.5732905745506287,26.695701024855207,1088.2,5.0,False,0.0 +PerpetualBooster,Tree-based,185.306705652078,0.5997539679209392,26.527350356547924,1095.6,6.0,False,0.0 +RandomForest,Tree-based,0.43432508267329906,0.05354057584727896,26.367340485035985,999.4,1.0,False,0.0 +RandomForest,Tree-based,2.300696812702446,0.11877280473082547,23.712497849723242,1058.9,2.0,False,0.0 +RandomForest,Tree-based,7.869405165361387,0.23579108802464072,22.380021791147254,1101.6,5.0,False,0.0 +RandomForest,Tree-based,17.24737248948874,0.34062966640910297,21.68619960100751,1131.2,10.0,False,0.0 +RandomForest,Tree-based,45.0373615696637,0.5043278961482858,21.197471796578675,1162.0,25.0,False,0.0 +RandomForest,Tree-based,91.39172333285852,0.5878338983942606,21.065834777384303,1170.6,50.0,False,0.0 +RandomForest,Tree-based,184.69967416087664,0.6965050641895468,20.979225297204692,1176.7,100.0,False,0.0 +RandomForest,Tree-based,277.8099565315396,0.7595438384705165,20.94118246178865,1179.3,150.0,False,0.0 +RandomForest,Tree-based,373.23710550957964,0.7784693873625508,20.93637366954322,1181.0,201.0,False,0.0 +RealMLP,Neural Network,10.05564923800873,1.688795494836301,18.672312385928773,1235.0,1.0,False,0.0 +RealMLP,Neural Network,24.67055944083978,2.4593014940325313,16.32784553984599,1345.6,2.0,False,0.0 +RealMLP,Neural Network,69.64352733395047,3.7162198129739616,14.662105975698344,1438.1,5.0,False,0.0 +RealMLP,Neural Network,141.15299775889818,5.676482463380541,14.049481561684102,1472.4,10.0,False,0.0 +RealMLP,Neural Network,364.60114695980747,7.847718735760291,13.578374973445003,1501.6,25.0,False,0.0 +RealMLP,Neural Network,736.9754853515838,9.767676536105808,13.359961766261447,1514.7,50.0,False,0.0 +RealMLP,Neural Network,1469.265397304651,11.259146773020426,13.181528066675494,1523.4,100.0,False,0.0 +RealMLP,Neural Network,2197.532004168663,12.053178920512211,13.094756098164668,1529.1,150.0,False,0.0 +RealMLP,Neural Network,2950.724447694827,12.377824840296128,13.030313299376573,1532.0,201.0,False,0.0 +RealTabPFN-2.5,Foundation Model,5.809798529870024,0.644969598113518,11.836441941939006,1538.0,1.0,False,0.0 +RealTabPFN-2.5,Foundation Model,16.695089235760015,1.4031929555826625,11.751819632700688,1544.3,2.0,False,0.0 +RealTabPFN-2.5,Foundation Model,45.81806103711327,2.874227223348986,11.426676895131013,1560.6,5.0,False,0.0 +RealTabPFN-2.5,Foundation Model,96.05664533202847,4.09552534439249,11.243125160856923,1577.9,10.0,False,0.0 +RealTabPFN-2.5,Foundation Model,245.14109091684222,5.753407464362681,10.99785681995912,1598.3,25.0,False,0.0 +RealTabPFN-2.5,Foundation Model,498.5667116885384,6.850076117335025,10.817236032968502,1607.9,50.0,False,0.0 +RealTabPFN-2.5,Foundation Model,1015.1487598759433,7.792073605314185,10.700086195805838,1612.5,100.0,False,0.0 +RealTabPFN-2.5,Foundation Model,1526.7130408425285,8.999759905935408,10.642331179321554,1613.7,150.0,False,0.0 +RealTabPFN-2.5,Foundation Model,2040.2228420972824,9.030681926100565,10.592964435035618,1612.8,201.0,False,0.0 +SAP-RPT-OSS,Foundation Model,14.11326684554418,2.0745579697490073,18.436174772419676,1297.7,1.0,False,0.0 +TabDPT,Foundation Model,47.64668788909912,43.737812222627376,17.32000950862774,1338.1,1.0,False,0.0 +TabDPT,Foundation Model,70.40721927502358,57.29898182743639,16.504833233599324,1364.6,2.0,False,0.0 +TabDPT,Foundation Model,132.97854094385033,81.7804361753873,15.69489834847074,1400.0,5.0,False,0.0 +TabDPT,Foundation Model,243.77644681542583,113.41332740687801,15.342600754802465,1416.0,10.0,False,0.0 +TabDPT,Foundation Model,599.14526392591,170.40307060248648,14.675781088684115,1442.9,25.0,False,0.0 +TabDPT,Foundation Model,1224.6320092924832,211.92435767541818,14.337112758130017,1457.4,50.0,False,0.0 +TabDPT,Foundation Model,2440.704045474264,252.46699651351815,14.1202687260132,1467.5,100.0,False,0.0 +TabDPT,Foundation Model,3652.693914186981,264.8770310030767,13.979203036071604,1472.6,150.0,False,0.0 +TabDPT,Foundation Model,4910.377306237253,289.5741517328534,13.90946985235064,1474.7,201.0,False,0.0 +TabDPT-Turbo,Foundation Model,2.06768405148355,0.18241940288749647,14.110839090794917,1472.8,1.0,False,0.0 +TabFM,Foundation Model,38.805908867807105,6.985429071794801,4.237228756687879,1811.0,1.0,False,0.0 +TabICLv2,Foundation Model,2.0524528171730156,0.15054921462491172,10.30620749734977,1612.3,1.0,False,0.0 +TabM,Neural Network,7.486463968520102,0.2435252328360982,17.10994021544436,1307.5,1.0,False,0.0 +TabM,Neural Network,16.686302531690117,0.4863020309973096,16.58617131017605,1334.7,2.0,False,0.0 +TabM,Neural Network,56.596063695315806,0.890570759276549,15.950089001596766,1370.8,5.0,False,0.0 +TabM,Neural Network,118.7995551510581,0.9696677240363341,15.379997279344662,1405.2,10.0,False,0.0 +TabM,Neural Network,301.71685986726413,1.2874446083056301,14.88881777466359,1431.1,25.0,False,0.0 +TabM,Neural Network,606.7957589349577,1.5958040707920327,14.601460195149713,1447.6,50.0,False,0.0 +TabM,Neural Network,1211.551032832957,1.9425270855949641,14.39941057906956,1459.2,100.0,False,0.0 +TabM,Neural Network,1826.0696865509133,2.1383865310957564,14.255482483809345,1465.5,150.0,False,0.0 +TabM,Neural Network,2450.1270774379373,2.236152469066152,14.200955147532254,1470.8,201.0,False,0.0 +TabPFN-2.6,Foundation Model,5.482579877802832,0.5548034626013535,10.875650424172594,1642.3,1.0,False,0.0 +TabPFN-3,Foundation Model,3.6584650300170622,0.3988194969093643,9.46912469753312,1684.6,1.0,False,0.0 +TabSTAR,Foundation Model,384.74563018139656,5.348086842145453,30.537370346824837,998.4,1.0,False,0.0 +TabSTAR,Foundation Model,579.5314694237709,6.864771890640259,30.410476743796778,1007.3,2.0,False,0.0 +TabSTAR,Foundation Model,986.9188087141514,7.884261027648034,30.144856180558843,1015.5,5.0,False,0.0 +TabSTAR,Foundation Model,1626.205745840524,9.437109846485178,29.48593621915216,1033.4,10.0,False,0.0 +TabSTAR,Foundation Model,3523.6508469471287,12.411686028639474,28.291920495865735,1056.6,25.0,False,0.0 +TabSTAR,Foundation Model,7090.437342984086,14.581168526013691,27.09492322563246,1077.3,50.0,False,0.0 +TabSTAR,Foundation Model,14236.603036992845,17.05862640937169,26.425388844365827,1092.9,100.0,False,0.0 +TabSTAR,Foundation Model,21385.328840252965,18.39983408008061,26.013647197546547,1103.7,150.0,False,0.0 +TabSTAR,Foundation Model,28729.737365569254,18.8114333152771,25.691768372918,1114.7,201.0,False,0.0 +TabSwift,Foundation Model,1.1753394519011986,0.07196837694453946,16.190069679117286,1367.3,1.0,False,0.0 +TorchMLP,Neural Network,9.99256321379882,0.1258046787872722,22.91119913719543,1082.5,1.0,False,0.0 +TorchMLP,Neural Network,23.39767303078301,0.25026397500859937,21.1908537776796,1136.8,2.0,False,0.0 +TorchMLP,Neural Network,67.83522273002498,0.5082028825487114,19.667824853224754,1188.1,5.0,False,0.0 +TorchMLP,Neural Network,150.5961763502482,0.7461273476481438,18.94277345444676,1221.5,10.0,False,0.0 +TorchMLP,Neural Network,358.89142527924406,1.1062947766294757,18.26327567076734,1251.5,25.0,False,0.0 +TorchMLP,Neural Network,711.8242682675321,1.3608592505593902,17.849087604437024,1273.0,50.0,False,0.0 +TorchMLP,Neural Network,1402.3570975877033,1.5999240551180054,17.555165915601417,1287.0,100.0,False,0.0 +TorchMLP,Neural Network,2125.061118692563,1.7712720948858605,17.398949630824475,1295.7,150.0,False,0.0 +TorchMLP,Neural Network,2875.520340774675,1.9516254299583915,17.26514695077001,1302.3,201.0,False,0.0 +XGBoost,Tree-based,1.9409389396340444,0.12262328807300621,18.902318200332132,1217.7,1.0,False,0.0 +XGBoost,Tree-based,5.773697624577766,0.549105895360311,17.257978653195927,1300.8,2.0,False,0.0 +XGBoost,Tree-based,17.165802076190833,0.9903293256488429,16.726237708777504,1336.9,5.0,False,0.0 +XGBoost,Tree-based,34.081364319342484,1.180882272831562,16.408995616877696,1357.7,10.0,False,0.0 +XGBoost,Tree-based,86.41550386463979,1.5144136771170538,16.16319089858363,1372.7,25.0,False,0.0 +XGBoost,Tree-based,172.69993584479832,1.6869916704181176,16.060745178312256,1379.2,50.0,False,0.0 +XGBoost,Tree-based,344.2808053206447,1.7329947109908745,15.97896673339185,1385.5,100.0,False,0.0 +XGBoost,Tree-based,515.1408947247787,1.8097831769800434,15.919918864101366,1389.7,150.0,False,0.0 +XGBoost,Tree-based,693.4907982506384,1.7397156137573087,15.87238521247715,1394.2,201.0,False,0.0 +iLTM,Foundation Model,296.63929176158115,68.17329693701195,23.11557996915718,1103.5,1.0,False,0.0 +iLTM,Foundation Model,761.0284006743531,133.58534546802647,20.425100181145652,1172.8,2.0,False,0.0 +iLTM,Foundation Model,2323.5909795410653,253.2846359590774,18.887624089098285,1277.5,5.0,False,0.0 +iLTM,Foundation Model,4948.456215600054,348.32007675170894,17.620263875699038,1340.9,10.0,False,0.0 +iLTM,Foundation Model,12120.256080215093,469.70642335709636,15.4368266474251,1419.3,25.0,False,0.0 +iLTM,Foundation Model,12685.081550183375,463.2685781743115,15.407937079777897,1422.9,26.0,False,0.0 +xRFM,Other,3.2328671519382346,0.9186215875564591,26.54705579946976,1050.3,1.0,False,0.0 +xRFM,Other,7.775795304879809,0.871141043689068,23.3150618411838,1112.9,2.0,False,0.0 +xRFM,Other,20.620430421907656,1.133551260828972,19.366364467158974,1230.1,5.0,False,0.0 +xRFM,Other,41.99625808068535,1.4441868364810944,17.620568067837358,1311.8,10.0,False,0.0 +xRFM,Other,105.70497940399669,1.8072467962280723,16.791576757460728,1350.6,25.0,False,0.0 +xRFM,Other,210.31944482616692,2.1086840459278653,16.52451796364743,1362.7,50.0,False,0.0 +xRFM,Other,422.08708123786937,2.3155613238258024,16.42318688812118,1365.3,100.0,False,0.0 +xRFM,Other,631.9086612835005,2.533833287124123,16.402782031446293,1366.0,150.0,False,0.0 +xRFM,Other,846.8860702336882,2.566047516252313,16.399958707751896,1365.4,201.0,False,0.0 diff --git a/data/imputation_no/splits_all/tasks_all/datasets_all/tuning_trajectories_explorer.html b/data/imputation_no/splits_all/tasks_all/datasets_all/tuning_trajectories_explorer.html index 7f074369b775de36b8624e3820e21069973c1d4b..cc154417999322ee60ab88704649c27fb343955a 100644 --- a/data/imputation_no/splits_all/tasks_all/datasets_all/tuning_trajectories_explorer.html +++ b/data/imputation_no/splits_all/tasks_all/datasets_all/tuning_trajectories_explorer.html @@ -334,7 +334,7 @@ (function () { "use strict"; const CONFIG = {"mode": "trajectory", "title": null, "metrics": [{"key": "imp", "label": "Improvability (%)", "axisLabel": "Improvability (%) \u2014 lower is better", "lowerBetter": true, "fromZero": true, "decimals": 1, "suffix": "%"}, {"key": "elo", "label": "Elo", "axisLabel": "Elo \u2014 higher is better", "lowerBetter": false, "fromZero": false, "decimals": 0, "suffix": ""}], "xAxes": [{"key": "x_train", "label": "Train time", "axisLabel": "Train time per 1K samples (s), median \u2014 log scale", "short": "Train (s/1K, median)"}], "chipsSide": "right"}; - const POINTS = [{"method":"CatBoost","family":"Tree-based","x_train":5.876676442,"imp":15.5457736304,"elo":1392.9,"imputed":false,"imputed_pct":0.0,"n_configs":1.0},{"method":"CatBoost","family":"Tree-based","x_train":11.6678251256,"imp":15.1182419551,"elo":1413.1,"imputed":false,"imputed_pct":0.0,"n_configs":2.0},{"method":"CatBoost","family":"Tree-based","x_train":31.9106517624,"imp":14.848578649,"elo":1430.8,"imputed":false,"imputed_pct":0.0,"n_configs":5.0},{"method":"CatBoost","family":"Tree-based","x_train":62.5721251757,"imp":14.7477568558,"elo":1435.8,"imputed":false,"imputed_pct":0.0,"n_configs":10.0},{"method":"CatBoost","family":"Tree-based","x_train":155.9049355669,"imp":14.6406177695,"elo":1441.2,"imputed":false,"imputed_pct":0.0,"n_configs":25.0},{"method":"CatBoost","family":"Tree-based","x_train":317.345916891,"imp":14.6311446381,"elo":1441.7,"imputed":false,"imputed_pct":0.0,"n_configs":50.0},{"method":"CatBoost","family":"Tree-based","x_train":662.4830210734,"imp":14.6478465613,"elo":1440.2,"imputed":false,"imputed_pct":0.0,"n_configs":100.0},{"method":"CatBoost","family":"Tree-based","x_train":998.8498259224,"imp":14.6673563694,"elo":1438.8,"imputed":false,"imputed_pct":0.0,"n_configs":150.0},{"method":"CatBoost","family":"Tree-based","x_train":1346.2106911803,"imp":14.674240095,"elo":1437.7,"imputed":false,"imputed_pct":0.0,"n_configs":201.0},{"method":"ChimeraBoost","family":"Tree-based","x_train":1.9886321895,"imp":18.6780631139,"elo":1273.2,"imputed":false,"imputed_pct":0.0,"n_configs":1.0},{"method":"ChimeraBoost","family":"Tree-based","x_train":4.4383850203,"imp":18.3366328085,"elo":1294.1,"imputed":false,"imputed_pct":0.0,"n_configs":2.0},{"method":"ChimeraBoost","family":"Tree-based","x_train":10.0701848574,"imp":18.116797306,"elo":1307.5,"imputed":false,"imputed_pct":0.0,"n_configs":5.0},{"method":"ChimeraBoost","family":"Tree-based","x_train":20.4734178164,"imp":17.9259739747,"elo":1318.0,"imputed":false,"imputed_pct":0.0,"n_configs":10.0},{"method":"ChimeraBoost","family":"Tree-based","x_train":52.7173757556,"imp":17.6537027938,"elo":1330.8,"imputed":false,"imputed_pct":0.0,"n_configs":25.0},{"method":"ChimeraBoost","family":"Tree-based","x_train":106.3941874905,"imp":17.5022920851,"elo":1338.7,"imputed":false,"imputed_pct":0.0,"n_configs":50.0},{"method":"ChimeraBoost","family":"Tree-based","x_train":212.8207478205,"imp":17.339314755,"elo":1346.0,"imputed":false,"imputed_pct":0.0,"n_configs":100.0},{"method":"ChimeraBoost","family":"Tree-based","x_train":318.9957179838,"imp":17.2700034244,"elo":1348.8,"imputed":false,"imputed_pct":0.0,"n_configs":150.0},{"method":"ChimeraBoost","family":"Tree-based","x_train":427.391750384,"imp":17.2326457261,"elo":1351.7,"imputed":false,"imputed_pct":0.0,"n_configs":201.0},{"method":"EBM","family":"Tree-based","x_train":6.6731468509,"imp":20.2759337918,"elo":1208.2,"imputed":false,"imputed_pct":0.0,"n_configs":1.0},{"method":"EBM","family":"Tree-based","x_train":16.5765343457,"imp":19.8786837436,"elo":1222.7,"imputed":false,"imputed_pct":0.0,"n_configs":2.0},{"method":"EBM","family":"Tree-based","x_train":47.7385589033,"imp":19.4534296615,"elo":1243.5,"imputed":false,"imputed_pct":0.0,"n_configs":5.0},{"method":"EBM","family":"Tree-based","x_train":89.4110724699,"imp":19.2726704565,"elo":1252.8,"imputed":false,"imputed_pct":0.0,"n_configs":10.0},{"method":"EBM","family":"Tree-based","x_train":218.448124708,"imp":19.0438192816,"elo":1263.4,"imputed":false,"imputed_pct":0.0,"n_configs":25.0},{"method":"EBM","family":"Tree-based","x_train":440.2545735965,"imp":18.9023411836,"elo":1271.7,"imputed":false,"imputed_pct":0.0,"n_configs":50.0},{"method":"EBM","family":"Tree-based","x_train":856.7647171053,"imp":18.780391801,"elo":1278.4,"imputed":false,"imputed_pct":0.0,"n_configs":100.0},{"method":"EBM","family":"Tree-based","x_train":1266.0910927829,"imp":18.7369843166,"elo":1281.9,"imputed":false,"imputed_pct":0.0,"n_configs":150.0},{"method":"EBM","family":"Tree-based","x_train":1711.2458519871,"imp":18.6945455008,"elo":1284.9,"imputed":false,"imputed_pct":0.0,"n_configs":201.0},{"method":"ExtraTrees","family":"Tree-based","x_train":1.8719729433,"imp":26.1948484129,"elo":1009.7,"imputed":false,"imputed_pct":0.0,"n_configs":1.0},{"method":"ExtraTrees","family":"Tree-based","x_train":3.1259596548,"imp":24.3488542313,"elo":1053.5,"imputed":false,"imputed_pct":0.0,"n_configs":2.0},{"method":"ExtraTrees","family":"Tree-based","x_train":6.7721912257,"imp":21.6826802288,"elo":1124.8,"imputed":false,"imputed_pct":0.0,"n_configs":5.0},{"method":"ExtraTrees","family":"Tree-based","x_train":13.288092342,"imp":20.760558803,"elo":1165.9,"imputed":false,"imputed_pct":0.0,"n_configs":10.0},{"method":"ExtraTrees","family":"Tree-based","x_train":32.8419339595,"imp":20.1069857393,"elo":1197.4,"imputed":false,"imputed_pct":0.0,"n_configs":25.0},{"method":"ExtraTrees","family":"Tree-based","x_train":65.4938634865,"imp":19.9445772606,"elo":1207.8,"imputed":false,"imputed_pct":0.0,"n_configs":50.0},{"method":"ExtraTrees","family":"Tree-based","x_train":130.8369715186,"imp":19.8340399339,"elo":1214.7,"imputed":false,"imputed_pct":0.0,"n_configs":100.0},{"method":"ExtraTrees","family":"Tree-based","x_train":196.2244804971,"imp":19.7910126465,"elo":1218.9,"imputed":false,"imputed_pct":0.0,"n_configs":150.0},{"method":"ExtraTrees","family":"Tree-based","x_train":263.0379305179,"imp":19.7984513883,"elo":1219.9,"imputed":false,"imputed_pct":0.0,"n_configs":201.0},{"method":"FastaiMLP","family":"Neural Network","x_train":2.8561491959,"imp":25.7013457941,"elo":1012.4,"imputed":false,"imputed_pct":0.0,"n_configs":1.0},{"method":"FastaiMLP","family":"Neural Network","x_train":5.5343795004,"imp":24.5020141267,"elo":1049.9,"imputed":false,"imputed_pct":0.0,"n_configs":2.0},{"method":"FastaiMLP","family":"Neural Network","x_train":14.5510344275,"imp":22.6534704395,"elo":1116.6,"imputed":false,"imputed_pct":0.0,"n_configs":5.0},{"method":"FastaiMLP","family":"Neural Network","x_train":29.723343154,"imp":21.7464416276,"elo":1149.9,"imputed":false,"imputed_pct":0.0,"n_configs":10.0},{"method":"FastaiMLP","family":"Neural Network","x_train":72.5444980812,"imp":20.8458197285,"elo":1180.3,"imputed":false,"imputed_pct":0.0,"n_configs":25.0},{"method":"FastaiMLP","family":"Neural Network","x_train":145.754371191,"imp":20.3916263193,"elo":1196.9,"imputed":false,"imputed_pct":0.0,"n_configs":50.0},{"method":"FastaiMLP","family":"Neural Network","x_train":293.9475008279,"imp":20.0488916705,"elo":1207.2,"imputed":false,"imputed_pct":0.0,"n_configs":100.0},{"method":"FastaiMLP","family":"Neural Network","x_train":441.8525399102,"imp":19.826636643,"elo":1215.4,"imputed":false,"imputed_pct":0.0,"n_configs":150.0},{"method":"FastaiMLP","family":"Neural Network","x_train":593.2377884029,"imp":19.6935269069,"elo":1220.6,"imputed":false,"imputed_pct":0.0,"n_configs":201.0},{"method":"LightGBM","family":"Tree-based","x_train":1.960032688,"imp":19.3647921745,"elo":1188.7,"imputed":false,"imputed_pct":0.0,"n_configs":1.0},{"method":"LightGBM","family":"Tree-based","x_train":4.1465368891,"imp":17.8536668429,"elo":1267.1,"imputed":false,"imputed_pct":0.0,"n_configs":2.0},{"method":"LightGBM","family":"Tree-based","x_train":10.3907433568,"imp":16.6855138703,"elo":1346.2,"imputed":false,"imputed_pct":0.0,"n_configs":5.0},{"method":"LightGBM","family":"Tree-based","x_train":20.2701675373,"imp":16.0840498218,"elo":1386.9,"imputed":false,"imputed_pct":0.0,"n_configs":10.0},{"method":"LightGBM","family":"Tree-based","x_train":51.487448334,"imp":15.5280964347,"elo":1421.6,"imputed":false,"imputed_pct":0.0,"n_configs":25.0},{"method":"LightGBM","family":"Tree-based","x_train":103.6855742013,"imp":15.3158433015,"elo":1437.2,"imputed":false,"imputed_pct":0.0,"n_configs":50.0},{"method":"LightGBM","family":"Tree-based","x_train":207.5435114784,"imp":15.1552157574,"elo":1447.7,"imputed":false,"imputed_pct":0.0,"n_configs":100.0},{"method":"LightGBM","family":"Tree-based","x_train":310.2926532568,"imp":15.0933557354,"elo":1451.2,"imputed":false,"imputed_pct":0.0,"n_configs":150.0},{"method":"LightGBM","family":"Tree-based","x_train":417.0474735649,"imp":15.0561804683,"elo":1453.8,"imputed":false,"imputed_pct":0.0,"n_configs":201.0},{"method":"LimiX","family":"Foundation Model","x_train":26.4597512682,"imp":15.4843630349,"elo":1381.2,"imputed":false,"imputed_pct":0.0,"n_configs":1.0},{"method":"ModernNCA","family":"Neural Network","x_train":14.8696863446,"imp":19.2146348547,"elo":1258.8,"imputed":false,"imputed_pct":0.0,"n_configs":1.0},{"method":"ModernNCA","family":"Neural Network","x_train":40.5171687704,"imp":17.9235444693,"elo":1296.1,"imputed":false,"imputed_pct":0.0,"n_configs":2.0},{"method":"ModernNCA","family":"Neural Network","x_train":111.4498310885,"imp":16.0052009744,"elo":1381.4,"imputed":false,"imputed_pct":0.0,"n_configs":5.0},{"method":"ModernNCA","family":"Neural Network","x_train":224.929440425,"imp":15.5140651615,"elo":1406.1,"imputed":false,"imputed_pct":0.0,"n_configs":10.0},{"method":"ModernNCA","family":"Neural Network","x_train":554.8880523029,"imp":15.0054551931,"elo":1431.4,"imputed":false,"imputed_pct":0.0,"n_configs":25.0},{"method":"ModernNCA","family":"Neural Network","x_train":1145.4516650488,"imp":15.0529606984,"elo":1428.7,"imputed":false,"imputed_pct":0.0,"n_configs":50.0},{"method":"ModernNCA","family":"Neural Network","x_train":2295.4928354707,"imp":15.3121547879,"elo":1419.9,"imputed":false,"imputed_pct":0.0,"n_configs":100.0},{"method":"ModernNCA","family":"Neural Network","x_train":3433.7924746694,"imp":15.5114179492,"elo":1411.9,"imputed":false,"imputed_pct":0.0,"n_configs":150.0},{"method":"ModernNCA","family":"Neural Network","x_train":4621.6656335635,"imp":15.6253232633,"elo":1406.7,"imputed":false,"imputed_pct":0.0,"n_configs":201.0},{"method":"PerpetualBooster","family":"Tree-based","x_train":27.322832323,"imp":32.2510059823,"elo":936.7,"imputed":false,"imputed_pct":0.0,"n_configs":1.0},{"method":"PerpetualBooster","family":"Tree-based","x_train":60.3304655332,"imp":30.0030285719,"elo":1001.6,"imputed":false,"imputed_pct":0.0,"n_configs":2.0},{"method":"PerpetualBooster","family":"Tree-based","x_train":157.3958954151,"imp":26.6320054165,"elo":1088.2,"imputed":false,"imputed_pct":0.0,"n_configs":5.0},{"method":"PerpetualBooster","family":"Tree-based","x_train":185.3067056521,"imp":26.4602162594,"elo":1095.6,"imputed":false,"imputed_pct":0.0,"n_configs":6.0},{"method":"RandomForest","family":"Tree-based","x_train":0.4343250827,"imp":26.2932402488,"elo":999.4,"imputed":false,"imputed_pct":0.0,"n_configs":1.0},{"method":"RandomForest","family":"Tree-based","x_train":2.3006968127,"imp":23.6312931455,"elo":1058.9,"imputed":false,"imputed_pct":0.0,"n_configs":2.0},{"method":"RandomForest","family":"Tree-based","x_train":7.8694051654,"imp":22.2945002711,"elo":1101.7,"imputed":false,"imputed_pct":0.0,"n_configs":5.0},{"method":"RandomForest","family":"Tree-based","x_train":17.2473724895,"imp":21.598133622,"elo":1131.3,"imputed":false,"imputed_pct":0.0,"n_configs":10.0},{"method":"RandomForest","family":"Tree-based","x_train":45.0373615697,"imp":21.1082364807,"elo":1162.1,"imputed":false,"imputed_pct":0.0,"n_configs":25.0},{"method":"RandomForest","family":"Tree-based","x_train":91.3917233329,"imp":20.9763766453,"elo":1170.7,"imputed":false,"imputed_pct":0.0,"n_configs":50.0},{"method":"RandomForest","family":"Tree-based","x_train":184.6996741609,"imp":20.8893896531,"elo":1176.8,"imputed":false,"imputed_pct":0.0,"n_configs":100.0},{"method":"RandomForest","family":"Tree-based","x_train":277.8099565315,"imp":20.8512167326,"elo":1179.4,"imputed":false,"imputed_pct":0.0,"n_configs":150.0},{"method":"RandomForest","family":"Tree-based","x_train":373.2371055096,"imp":20.8463533192,"elo":1181.1,"imputed":false,"imputed_pct":0.0,"n_configs":201.0},{"method":"RealMLP","family":"Neural Network","x_train":10.055649238,"imp":18.5902394535,"elo":1235.3,"imputed":false,"imputed_pct":0.0,"n_configs":1.0},{"method":"RealMLP","family":"Neural Network","x_train":24.6705594408,"imp":16.2369194285,"elo":1345.9,"imputed":false,"imputed_pct":0.0,"n_configs":2.0},{"method":"RealMLP","family":"Neural Network","x_train":69.643527334,"imp":14.5607377501,"elo":1438.2,"imputed":false,"imputed_pct":0.0,"n_configs":5.0},{"method":"RealMLP","family":"Neural Network","x_train":141.1529977589,"imp":13.9427929116,"elo":1472.7,"imputed":false,"imputed_pct":0.0,"n_configs":10.0},{"method":"RealMLP","family":"Neural Network","x_train":364.6011469598,"imp":13.4671732129,"elo":1502.2,"imputed":false,"imputed_pct":0.0,"n_configs":25.0},{"method":"RealMLP","family":"Neural Network","x_train":736.9754853516,"imp":13.2471506373,"elo":1515.4,"imputed":false,"imputed_pct":0.0,"n_configs":50.0},{"method":"RealMLP","family":"Neural Network","x_train":1469.2653973047,"imp":13.0647764231,"elo":1524.1,"imputed":false,"imputed_pct":0.0,"n_configs":100.0},{"method":"RealMLP","family":"Neural Network","x_train":2197.5320041687,"imp":12.9722032627,"elo":1529.9,"imputed":false,"imputed_pct":0.0,"n_configs":150.0},{"method":"RealMLP","family":"Neural Network","x_train":2950.7244476948,"imp":12.9046673494,"elo":1532.8,"imputed":false,"imputed_pct":0.0,"n_configs":201.0},{"method":"RealTabPFN-2.5","family":"Foundation Model","x_train":5.8097985299,"imp":11.6839820929,"elo":1538.3,"imputed":false,"imputed_pct":0.0,"n_configs":1.0},{"method":"RealTabPFN-2.5","family":"Foundation Model","x_train":16.6950892358,"imp":11.6143468084,"elo":1544.7,"imputed":false,"imputed_pct":0.0,"n_configs":2.0},{"method":"RealTabPFN-2.5","family":"Foundation Model","x_train":45.8180610371,"imp":11.292487148,"elo":1561.1,"imputed":false,"imputed_pct":0.0,"n_configs":5.0},{"method":"RealTabPFN-2.5","family":"Foundation Model","x_train":96.056645332,"imp":11.1111899349,"elo":1578.5,"imputed":false,"imputed_pct":0.0,"n_configs":10.0},{"method":"RealTabPFN-2.5","family":"Foundation Model","x_train":245.1410909168,"imp":10.868476471,"elo":1599.1,"imputed":false,"imputed_pct":0.0,"n_configs":25.0},{"method":"RealTabPFN-2.5","family":"Foundation Model","x_train":498.5667116885,"imp":10.6868240527,"elo":1608.6,"imputed":false,"imputed_pct":0.0,"n_configs":50.0},{"method":"RealTabPFN-2.5","family":"Foundation Model","x_train":1015.1487598759,"imp":10.5680156723,"elo":1613.1,"imputed":false,"imputed_pct":0.0,"n_configs":100.0},{"method":"RealTabPFN-2.5","family":"Foundation Model","x_train":1526.7130408425,"imp":10.5076542069,"elo":1614.3,"imputed":false,"imputed_pct":0.0,"n_configs":150.0},{"method":"RealTabPFN-2.5","family":"Foundation Model","x_train":2040.2228420973,"imp":10.4555406579,"elo":1613.3,"imputed":false,"imputed_pct":0.0,"n_configs":201.0},{"method":"SAP-RPT-OSS","family":"Foundation Model","x_train":14.1132668455,"imp":18.2986171534,"elo":1297.7,"imputed":false,"imputed_pct":0.0,"n_configs":1.0},{"method":"TabDPT","family":"Foundation Model","x_train":47.6466878891,"imp":17.2447142424,"elo":1337.6,"imputed":false,"imputed_pct":0.0,"n_configs":1.0},{"method":"TabDPT","family":"Foundation Model","x_train":70.407219275,"imp":16.4273759647,"elo":1364.1,"imputed":false,"imputed_pct":0.0,"n_configs":2.0},{"method":"TabDPT","family":"Foundation Model","x_train":132.9785409439,"imp":15.6129784957,"elo":1399.5,"imputed":false,"imputed_pct":0.0,"n_configs":5.0},{"method":"TabDPT","family":"Foundation Model","x_train":243.7764468154,"imp":15.2584743138,"elo":1415.5,"imputed":false,"imputed_pct":0.0,"n_configs":10.0},{"method":"TabDPT","family":"Foundation Model","x_train":599.1452639259,"imp":14.5879282112,"elo":1442.4,"imputed":false,"imputed_pct":0.0,"n_configs":25.0},{"method":"TabDPT","family":"Foundation Model","x_train":1224.6320092925,"imp":14.2465622774,"elo":1456.9,"imputed":false,"imputed_pct":0.0,"n_configs":50.0},{"method":"TabDPT","family":"Foundation Model","x_train":2440.7040454743,"imp":14.025515153,"elo":1467.0,"imputed":false,"imputed_pct":0.0,"n_configs":100.0},{"method":"TabDPT","family":"Foundation Model","x_train":3652.693914187,"imp":13.8836168304,"elo":1472.2,"imputed":false,"imputed_pct":0.0,"n_configs":150.0},{"method":"TabDPT","family":"Foundation Model","x_train":4910.3773062373,"imp":13.8120012204,"elo":1474.3,"imputed":false,"imputed_pct":0.0,"n_configs":201.0},{"method":"TabDPT-Turbo","family":"Foundation Model","x_train":2.0676840515,"imp":14.0203361292,"elo":1472.3,"imputed":false,"imputed_pct":0.0,"n_configs":1.0},{"method":"TabFM","family":"Foundation Model","x_train":38.8059088678,"imp":4.0944582803,"elo":1807.7,"imputed":false,"imputed_pct":0.0,"n_configs":1.0},{"method":"TabICLv2","family":"Foundation Model","x_train":2.0524528172,"imp":10.1989756415,"elo":1611.8,"imputed":false,"imputed_pct":0.0,"n_configs":1.0},{"method":"TabM","family":"Neural Network","x_train":7.4864639685,"imp":17.0218795202,"elo":1307.7,"imputed":false,"imputed_pct":0.0,"n_configs":1.0},{"method":"TabM","family":"Neural Network","x_train":16.6863025317,"imp":16.4957522836,"elo":1334.9,"imputed":false,"imputed_pct":0.0,"n_configs":2.0},{"method":"TabM","family":"Neural Network","x_train":56.5960636953,"imp":15.8572340345,"elo":1370.8,"imputed":false,"imputed_pct":0.0,"n_configs":5.0},{"method":"TabM","family":"Neural Network","x_train":118.7995551511,"imp":15.2854538522,"elo":1405.2,"imputed":false,"imputed_pct":0.0,"n_configs":10.0},{"method":"TabM","family":"Neural Network","x_train":301.7168598673,"imp":14.7930237659,"elo":1431.2,"imputed":false,"imputed_pct":0.0,"n_configs":25.0},{"method":"TabM","family":"Neural Network","x_train":606.795758935,"imp":14.5049392091,"elo":1447.7,"imputed":false,"imputed_pct":0.0,"n_configs":50.0},{"method":"TabM","family":"Neural Network","x_train":1211.551032833,"imp":14.301458535,"elo":1459.4,"imputed":false,"imputed_pct":0.0,"n_configs":100.0},{"method":"TabM","family":"Neural Network","x_train":1826.0696865509,"imp":14.1570213529,"elo":1465.8,"imputed":false,"imputed_pct":0.0,"n_configs":150.0},{"method":"TabM","family":"Neural Network","x_train":2450.1270774379,"imp":14.1019482991,"elo":1471.1,"imputed":false,"imputed_pct":0.0,"n_configs":201.0},{"method":"TabPFN-2.6","family":"Foundation Model","x_train":5.4825798778,"imp":10.7738922898,"elo":1643.6,"imputed":false,"imputed_pct":0.0,"n_configs":1.0},{"method":"TabPFN-3","family":"Foundation Model","x_train":3.65846503,"imp":9.3502735666,"elo":1683.7,"imputed":false,"imputed_pct":0.0,"n_configs":1.0},{"method":"TabSTAR","family":"Foundation Model","x_train":384.7456301814,"imp":30.4741238844,"elo":997.8,"imputed":false,"imputed_pct":0.0,"n_configs":1.0},{"method":"TabSTAR","family":"Foundation Model","x_train":579.5314694238,"imp":30.347038883,"elo":1006.6,"imputed":false,"imputed_pct":0.0,"n_configs":2.0},{"method":"TabSTAR","family":"Foundation Model","x_train":986.9188087142,"imp":30.0809439358,"elo":1014.9,"imputed":false,"imputed_pct":0.0,"n_configs":5.0},{"method":"TabSTAR","family":"Foundation Model","x_train":1626.2057458405,"imp":29.4210570456,"elo":1032.7,"imputed":false,"imputed_pct":0.0,"n_configs":10.0},{"method":"TabSTAR","family":"Foundation Model","x_train":3523.6508469471,"imp":28.2250520331,"elo":1055.9,"imputed":false,"imputed_pct":0.0,"n_configs":25.0},{"method":"TabSTAR","family":"Foundation Model","x_train":7090.4373429841,"imp":27.0261952401,"elo":1076.7,"imputed":false,"imputed_pct":0.0,"n_configs":50.0},{"method":"TabSTAR","family":"Foundation Model","x_train":14236.6030369928,"imp":26.3553702322,"elo":1092.3,"imputed":false,"imputed_pct":0.0,"n_configs":100.0},{"method":"TabSTAR","family":"Foundation Model","x_train":21385.328840253,"imp":25.9429054894,"elo":1103.1,"imputed":false,"imputed_pct":0.0,"n_configs":150.0},{"method":"TabSTAR","family":"Foundation Model","x_train":28729.7373655693,"imp":25.6201849214,"elo":1114.2,"imputed":false,"imputed_pct":0.0,"n_configs":201.0},{"method":"TabSwift","family":"Foundation Model","x_train":1.1753394519,"imp":16.1020832631,"elo":1367.0,"imputed":false,"imputed_pct":0.0,"n_configs":1.0},{"method":"TorchMLP","family":"Neural Network","x_train":9.9925632138,"imp":22.8295561037,"elo":1082.6,"imputed":false,"imputed_pct":0.0,"n_configs":1.0},{"method":"TorchMLP","family":"Neural Network","x_train":23.3976730308,"imp":21.109494918,"elo":1136.9,"imputed":false,"imputed_pct":0.0,"n_configs":2.0},{"method":"TorchMLP","family":"Neural Network","x_train":67.83522273,"imp":19.5850220402,"elo":1188.5,"imputed":false,"imputed_pct":0.0,"n_configs":5.0},{"method":"TorchMLP","family":"Neural Network","x_train":150.5961763502,"imp":18.8591735804,"elo":1222.0,"imputed":false,"imputed_pct":0.0,"n_configs":10.0},{"method":"TorchMLP","family":"Neural Network","x_train":358.8914252792,"imp":18.1777335918,"elo":1252.0,"imputed":false,"imputed_pct":0.0,"n_configs":25.0},{"method":"TorchMLP","family":"Neural Network","x_train":711.8242682675,"imp":17.7628541744,"elo":1273.5,"imputed":false,"imputed_pct":0.0,"n_configs":50.0},{"method":"TorchMLP","family":"Neural Network","x_train":1402.3570975877,"imp":17.4684976164,"elo":1287.5,"imputed":false,"imputed_pct":0.0,"n_configs":100.0},{"method":"TorchMLP","family":"Neural Network","x_train":2125.0611186926,"imp":17.3117399788,"elo":1296.2,"imputed":false,"imputed_pct":0.0,"n_configs":150.0},{"method":"TorchMLP","family":"Neural Network","x_train":2875.5203407747,"imp":17.1778661155,"elo":1302.7,"imputed":false,"imputed_pct":0.0,"n_configs":201.0},{"method":"XGBoost","family":"Tree-based","x_train":1.9409389396,"imp":18.8126923396,"elo":1218.2,"imputed":false,"imputed_pct":0.0,"n_configs":1.0},{"method":"XGBoost","family":"Tree-based","x_train":5.7736976246,"imp":17.1651628717,"elo":1301.3,"imputed":false,"imputed_pct":0.0,"n_configs":2.0},{"method":"XGBoost","family":"Tree-based","x_train":17.1658020762,"imp":16.6325079028,"elo":1337.3,"imputed":false,"imputed_pct":0.0,"n_configs":5.0},{"method":"XGBoost","family":"Tree-based","x_train":34.0813643193,"imp":16.3148977734,"elo":1358.0,"imputed":false,"imputed_pct":0.0,"n_configs":10.0},{"method":"XGBoost","family":"Tree-based","x_train":86.4155038646,"imp":16.0688154505,"elo":1372.9,"imputed":false,"imputed_pct":0.0,"n_configs":25.0},{"method":"XGBoost","family":"Tree-based","x_train":172.6999358448,"imp":15.965588217,"elo":1379.4,"imputed":false,"imputed_pct":0.0,"n_configs":50.0},{"method":"XGBoost","family":"Tree-based","x_train":344.2808053206,"imp":15.8832179383,"elo":1385.7,"imputed":false,"imputed_pct":0.0,"n_configs":100.0},{"method":"XGBoost","family":"Tree-based","x_train":515.1408947248,"imp":15.8239279243,"elo":1389.9,"imputed":false,"imputed_pct":0.0,"n_configs":150.0},{"method":"XGBoost","family":"Tree-based","x_train":693.4907982506,"imp":15.7757129878,"elo":1394.4,"imputed":false,"imputed_pct":0.0,"n_configs":201.0},{"method":"iLTM","family":"Foundation Model","x_train":296.6392917616,"imp":23.0430171,"elo":1103.5,"imputed":false,"imputed_pct":0.0,"n_configs":1.0},{"method":"iLTM","family":"Foundation Model","x_train":761.0284006744,"imp":20.349313351,"elo":1173.0,"imputed":false,"imputed_pct":0.0,"n_configs":2.0},{"method":"iLTM","family":"Foundation Model","x_train":2323.5909795411,"imp":18.8122133517,"elo":1278.0,"imputed":false,"imputed_pct":0.0,"n_configs":5.0},{"method":"iLTM","family":"Foundation Model","x_train":4948.4562156001,"imp":17.541943154,"elo":1341.2,"imputed":false,"imputed_pct":0.0,"n_configs":10.0},{"method":"iLTM","family":"Foundation Model","x_train":12120.2560802151,"imp":15.3539794882,"elo":1419.4,"imputed":false,"imputed_pct":0.0,"n_configs":25.0},{"method":"iLTM","family":"Foundation Model","x_train":12685.0815501834,"imp":15.3249586647,"elo":1423.0,"imputed":false,"imputed_pct":0.0,"n_configs":26.0},{"method":"xRFM","family":"Other","x_train":3.2328671519,"imp":26.4634580018,"elo":1050.2,"imputed":false,"imputed_pct":0.0,"n_configs":1.0},{"method":"xRFM","family":"Other","x_train":7.7757953049,"imp":23.2274871521,"elo":1112.9,"imputed":false,"imputed_pct":0.0,"n_configs":2.0},{"method":"xRFM","family":"Other","x_train":20.6204304219,"imp":19.273412113,"elo":1230.3,"imputed":false,"imputed_pct":0.0,"n_configs":5.0},{"method":"xRFM","family":"Other","x_train":41.9962580807,"imp":17.5247895428,"elo":1312.0,"imputed":false,"imputed_pct":0.0,"n_configs":10.0},{"method":"xRFM","family":"Other","x_train":105.704979404,"imp":16.6937711198,"elo":1350.7,"imputed":false,"imputed_pct":0.0,"n_configs":25.0},{"method":"xRFM","family":"Other","x_train":210.3194448262,"imp":16.424264842,"elo":1362.8,"imputed":false,"imputed_pct":0.0,"n_configs":50.0},{"method":"xRFM","family":"Other","x_train":422.0870812379,"imp":16.3215950454,"elo":1365.4,"imputed":false,"imputed_pct":0.0,"n_configs":100.0},{"method":"xRFM","family":"Other","x_train":631.9086612835,"imp":16.3002737638,"elo":1366.1,"imputed":false,"imputed_pct":0.0,"n_configs":150.0},{"method":"xRFM","family":"Other","x_train":846.8860702337,"imp":16.2968984962,"elo":1365.5,"imputed":false,"imputed_pct":0.0,"n_configs":201.0}]; + const POINTS = [{"method":"CatBoost","family":"Tree-based","x_train":5.876676442,"imp":15.6379139975,"elo":1392.9,"imputed":false,"imputed_pct":0.0,"n_configs":1.0},{"method":"CatBoost","family":"Tree-based","x_train":11.6678251256,"imp":15.2168678087,"elo":1413.0,"imputed":false,"imputed_pct":0.0,"n_configs":2.0},{"method":"CatBoost","family":"Tree-based","x_train":31.9106517624,"imp":14.948187878,"elo":1430.7,"imputed":false,"imputed_pct":0.0,"n_configs":5.0},{"method":"CatBoost","family":"Tree-based","x_train":62.5721251757,"imp":14.8482851657,"elo":1435.6,"imputed":false,"imputed_pct":0.0,"n_configs":10.0},{"method":"CatBoost","family":"Tree-based","x_train":155.9049355669,"imp":14.7420382341,"elo":1440.9,"imputed":false,"imputed_pct":0.0,"n_configs":25.0},{"method":"CatBoost","family":"Tree-based","x_train":317.345916891,"imp":14.732576971,"elo":1441.5,"imputed":false,"imputed_pct":0.0,"n_configs":50.0},{"method":"CatBoost","family":"Tree-based","x_train":662.4830210734,"imp":14.7499792057,"elo":1440.0,"imputed":false,"imputed_pct":0.0,"n_configs":100.0},{"method":"CatBoost","family":"Tree-based","x_train":998.8498259224,"imp":14.7693659421,"elo":1438.6,"imputed":false,"imputed_pct":0.0,"n_configs":150.0},{"method":"CatBoost","family":"Tree-based","x_train":1346.2106911803,"imp":14.7762107657,"elo":1437.4,"imputed":false,"imputed_pct":0.0,"n_configs":201.0},{"method":"ChimeraBoost","family":"Tree-based","x_train":1.9886321895,"imp":18.7601579509,"elo":1273.0,"imputed":false,"imputed_pct":0.0,"n_configs":1.0},{"method":"ChimeraBoost","family":"Tree-based","x_train":4.4383850203,"imp":18.4193863066,"elo":1293.9,"imputed":false,"imputed_pct":0.0,"n_configs":2.0},{"method":"ChimeraBoost","family":"Tree-based","x_train":10.0701848574,"imp":18.1998267647,"elo":1307.4,"imputed":false,"imputed_pct":0.0,"n_configs":5.0},{"method":"ChimeraBoost","family":"Tree-based","x_train":20.4734178164,"imp":18.0095560793,"elo":1317.8,"imputed":false,"imputed_pct":0.0,"n_configs":10.0},{"method":"ChimeraBoost","family":"Tree-based","x_train":52.7173757556,"imp":17.7380251951,"elo":1330.7,"imputed":false,"imputed_pct":0.0,"n_configs":25.0},{"method":"ChimeraBoost","family":"Tree-based","x_train":106.3941874905,"imp":17.5870246791,"elo":1338.6,"imputed":false,"imputed_pct":0.0,"n_configs":50.0},{"method":"ChimeraBoost","family":"Tree-based","x_train":212.8207478205,"imp":17.4243926004,"elo":1345.9,"imputed":false,"imputed_pct":0.0,"n_configs":100.0},{"method":"ChimeraBoost","family":"Tree-based","x_train":318.9957179838,"imp":17.3552867473,"elo":1348.7,"imputed":false,"imputed_pct":0.0,"n_configs":150.0},{"method":"ChimeraBoost","family":"Tree-based","x_train":427.391750384,"imp":17.3178233878,"elo":1351.6,"imputed":false,"imputed_pct":0.0,"n_configs":201.0},{"method":"EBM","family":"Tree-based","x_train":6.6731468509,"imp":20.3600496289,"elo":1208.0,"imputed":false,"imputed_pct":0.0,"n_configs":1.0},{"method":"EBM","family":"Tree-based","x_train":16.5765343457,"imp":19.9644727566,"elo":1222.5,"imputed":false,"imputed_pct":0.0,"n_configs":2.0},{"method":"EBM","family":"Tree-based","x_train":47.7385589033,"imp":19.5410950588,"elo":1243.2,"imputed":false,"imputed_pct":0.0,"n_configs":5.0},{"method":"EBM","family":"Tree-based","x_train":89.4110724699,"imp":19.3606405026,"elo":1252.4,"imputed":false,"imputed_pct":0.0,"n_configs":10.0},{"method":"EBM","family":"Tree-based","x_train":218.448124708,"imp":19.1326791707,"elo":1263.0,"imputed":false,"imputed_pct":0.0,"n_configs":25.0},{"method":"EBM","family":"Tree-based","x_train":440.2545735965,"imp":18.9917219672,"elo":1271.3,"imputed":false,"imputed_pct":0.0,"n_configs":50.0},{"method":"EBM","family":"Tree-based","x_train":856.7647171053,"imp":18.8698309685,"elo":1277.9,"imputed":false,"imputed_pct":0.0,"n_configs":100.0},{"method":"EBM","family":"Tree-based","x_train":1266.0910927829,"imp":18.8264586986,"elo":1281.5,"imputed":false,"imputed_pct":0.0,"n_configs":150.0},{"method":"EBM","family":"Tree-based","x_train":1711.2458519871,"imp":18.7841488045,"elo":1284.5,"imputed":false,"imputed_pct":0.0,"n_configs":201.0},{"method":"EXAONE-Tabular","family":"Foundation Model","x_train":5.9383527905,"imp":8.478817108,"elo":1759.6,"imputed":false,"imputed_pct":0.0,"n_configs":1.0},{"method":"ExtraTrees","family":"Tree-based","x_train":1.8719729433,"imp":26.266280184,"elo":1009.8,"imputed":false,"imputed_pct":0.0,"n_configs":1.0},{"method":"ExtraTrees","family":"Tree-based","x_train":3.1259596548,"imp":24.4253581113,"elo":1053.6,"imputed":false,"imputed_pct":0.0,"n_configs":2.0},{"method":"ExtraTrees","family":"Tree-based","x_train":6.7721912257,"imp":21.7668276841,"elo":1124.7,"imputed":false,"imputed_pct":0.0,"n_configs":5.0},{"method":"ExtraTrees","family":"Tree-based","x_train":13.288092342,"imp":20.8471223738,"elo":1165.7,"imputed":false,"imputed_pct":0.0,"n_configs":10.0},{"method":"ExtraTrees","family":"Tree-based","x_train":32.8419339595,"imp":20.1962359088,"elo":1197.2,"imputed":false,"imputed_pct":0.0,"n_configs":25.0},{"method":"ExtraTrees","family":"Tree-based","x_train":65.4938634865,"imp":20.0343916822,"elo":1207.6,"imputed":false,"imputed_pct":0.0,"n_configs":50.0},{"method":"ExtraTrees","family":"Tree-based","x_train":130.8369715186,"imp":19.9247417595,"elo":1214.5,"imputed":false,"imputed_pct":0.0,"n_configs":100.0},{"method":"ExtraTrees","family":"Tree-based","x_train":196.2244804971,"imp":19.8815906977,"elo":1218.7,"imputed":false,"imputed_pct":0.0,"n_configs":150.0},{"method":"ExtraTrees","family":"Tree-based","x_train":263.0379305179,"imp":19.8885046409,"elo":1219.6,"imputed":false,"imputed_pct":0.0,"n_configs":201.0},{"method":"FastaiMLP","family":"Neural Network","x_train":2.8561491959,"imp":25.7728768015,"elo":1012.5,"imputed":false,"imputed_pct":0.0,"n_configs":1.0},{"method":"FastaiMLP","family":"Neural Network","x_train":5.5343795004,"imp":24.5752944382,"elo":1050.0,"imputed":false,"imputed_pct":0.0,"n_configs":2.0},{"method":"FastaiMLP","family":"Neural Network","x_train":14.5510344275,"imp":22.7299626327,"elo":1116.7,"imputed":false,"imputed_pct":0.0,"n_configs":5.0},{"method":"FastaiMLP","family":"Neural Network","x_train":29.723343154,"imp":21.8242898259,"elo":1149.9,"imputed":false,"imputed_pct":0.0,"n_configs":10.0},{"method":"FastaiMLP","family":"Neural Network","x_train":72.5444980812,"imp":20.9253462653,"elo":1180.3,"imputed":false,"imputed_pct":0.0,"n_configs":25.0},{"method":"FastaiMLP","family":"Neural Network","x_train":145.754371191,"imp":20.4718586372,"elo":1196.8,"imputed":false,"imputed_pct":0.0,"n_configs":50.0},{"method":"FastaiMLP","family":"Neural Network","x_train":293.9475008279,"imp":20.1298209913,"elo":1207.0,"imputed":false,"imputed_pct":0.0,"n_configs":100.0},{"method":"FastaiMLP","family":"Neural Network","x_train":441.8525399102,"imp":19.9078850991,"elo":1215.2,"imputed":false,"imputed_pct":0.0,"n_configs":150.0},{"method":"FastaiMLP","family":"Neural Network","x_train":593.2377884029,"imp":19.7748229782,"elo":1220.4,"imputed":false,"imputed_pct":0.0,"n_configs":201.0},{"method":"LightGBM","family":"Tree-based","x_train":1.960032688,"imp":19.4448896541,"elo":1188.4,"imputed":false,"imputed_pct":0.0,"n_configs":1.0},{"method":"LightGBM","family":"Tree-based","x_train":4.1465368891,"imp":17.9365684166,"elo":1266.6,"imputed":false,"imputed_pct":0.0,"n_configs":2.0},{"method":"LightGBM","family":"Tree-based","x_train":10.3907433568,"imp":16.771313851,"elo":1345.9,"imputed":false,"imputed_pct":0.0,"n_configs":5.0},{"method":"LightGBM","family":"Tree-based","x_train":20.2701675373,"imp":16.1715662728,"elo":1386.7,"imputed":false,"imputed_pct":0.0,"n_configs":10.0},{"method":"LightGBM","family":"Tree-based","x_train":51.487448334,"imp":15.6171806698,"elo":1421.3,"imputed":false,"imputed_pct":0.0,"n_configs":25.0},{"method":"LightGBM","family":"Tree-based","x_train":103.6855742013,"imp":15.4055280526,"elo":1436.9,"imputed":false,"imputed_pct":0.0,"n_configs":50.0},{"method":"LightGBM","family":"Tree-based","x_train":207.5435114784,"imp":15.2455082958,"elo":1447.4,"imputed":false,"imputed_pct":0.0,"n_configs":100.0},{"method":"LightGBM","family":"Tree-based","x_train":310.2926532568,"imp":15.1840618125,"elo":1450.9,"imputed":false,"imputed_pct":0.0,"n_configs":150.0},{"method":"LightGBM","family":"Tree-based","x_train":417.0474735649,"imp":15.1468980918,"elo":1453.4,"imputed":false,"imputed_pct":0.0,"n_configs":201.0},{"method":"LimiX","family":"Foundation Model","x_train":26.4597512682,"imp":15.5997826415,"elo":1381.5,"imputed":false,"imputed_pct":0.0,"n_configs":1.0},{"method":"ModernNCA","family":"Neural Network","x_train":14.8696863446,"imp":19.3033341972,"elo":1258.5,"imputed":false,"imputed_pct":0.0,"n_configs":1.0},{"method":"ModernNCA","family":"Neural Network","x_train":40.5171687704,"imp":18.0125306043,"elo":1295.6,"imputed":false,"imputed_pct":0.0,"n_configs":2.0},{"method":"ModernNCA","family":"Neural Network","x_train":111.4498310885,"imp":16.0992974744,"elo":1381.1,"imputed":false,"imputed_pct":0.0,"n_configs":5.0},{"method":"ModernNCA","family":"Neural Network","x_train":224.929440425,"imp":15.6107424177,"elo":1405.7,"imputed":false,"imputed_pct":0.0,"n_configs":10.0},{"method":"ModernNCA","family":"Neural Network","x_train":554.8880523029,"imp":15.1054468021,"elo":1431.1,"imputed":false,"imputed_pct":0.0,"n_configs":25.0},{"method":"ModernNCA","family":"Neural Network","x_train":1145.4516650488,"imp":15.1588818493,"elo":1428.5,"imputed":false,"imputed_pct":0.0,"n_configs":50.0},{"method":"ModernNCA","family":"Neural Network","x_train":2295.4928354707,"imp":15.4207900989,"elo":1419.7,"imputed":false,"imputed_pct":0.0,"n_configs":100.0},{"method":"ModernNCA","family":"Neural Network","x_train":3433.7924746694,"imp":15.6248418083,"elo":1411.8,"imputed":false,"imputed_pct":0.0,"n_configs":150.0},{"method":"ModernNCA","family":"Neural Network","x_train":4621.6656335635,"imp":15.7408180009,"elo":1406.6,"imputed":false,"imputed_pct":0.0,"n_configs":201.0},{"method":"PerpetualBooster","family":"Tree-based","x_train":27.322832323,"imp":32.3040236353,"elo":936.7,"imputed":false,"imputed_pct":0.0,"n_configs":1.0},{"method":"PerpetualBooster","family":"Tree-based","x_train":60.3304655332,"imp":30.0576090825,"elo":1001.7,"imputed":false,"imputed_pct":0.0,"n_configs":2.0},{"method":"PerpetualBooster","family":"Tree-based","x_train":157.3958954151,"imp":26.6957010249,"elo":1088.2,"imputed":false,"imputed_pct":0.0,"n_configs":5.0},{"method":"PerpetualBooster","family":"Tree-based","x_train":185.3067056521,"imp":26.5273503565,"elo":1095.6,"imputed":false,"imputed_pct":0.0,"n_configs":6.0},{"method":"RandomForest","family":"Tree-based","x_train":0.4343250827,"imp":26.367340485,"elo":999.4,"imputed":false,"imputed_pct":0.0,"n_configs":1.0},{"method":"RandomForest","family":"Tree-based","x_train":2.3006968127,"imp":23.7124978497,"elo":1058.9,"imputed":false,"imputed_pct":0.0,"n_configs":2.0},{"method":"RandomForest","family":"Tree-based","x_train":7.8694051654,"imp":22.3800217911,"elo":1101.6,"imputed":false,"imputed_pct":0.0,"n_configs":5.0},{"method":"RandomForest","family":"Tree-based","x_train":17.2473724895,"imp":21.686199601,"elo":1131.2,"imputed":false,"imputed_pct":0.0,"n_configs":10.0},{"method":"RandomForest","family":"Tree-based","x_train":45.0373615697,"imp":21.1974717966,"elo":1162.0,"imputed":false,"imputed_pct":0.0,"n_configs":25.0},{"method":"RandomForest","family":"Tree-based","x_train":91.3917233329,"imp":21.0658347774,"elo":1170.6,"imputed":false,"imputed_pct":0.0,"n_configs":50.0},{"method":"RandomForest","family":"Tree-based","x_train":184.6996741609,"imp":20.9792252972,"elo":1176.7,"imputed":false,"imputed_pct":0.0,"n_configs":100.0},{"method":"RandomForest","family":"Tree-based","x_train":277.8099565315,"imp":20.9411824618,"elo":1179.3,"imputed":false,"imputed_pct":0.0,"n_configs":150.0},{"method":"RandomForest","family":"Tree-based","x_train":373.2371055096,"imp":20.9363736695,"elo":1181.0,"imputed":false,"imputed_pct":0.0,"n_configs":201.0},{"method":"RealMLP","family":"Neural Network","x_train":10.055649238,"imp":18.6723123859,"elo":1235.0,"imputed":false,"imputed_pct":0.0,"n_configs":1.0},{"method":"RealMLP","family":"Neural Network","x_train":24.6705594408,"imp":16.3278455398,"elo":1345.6,"imputed":false,"imputed_pct":0.0,"n_configs":2.0},{"method":"RealMLP","family":"Neural Network","x_train":69.643527334,"imp":14.6621059757,"elo":1438.1,"imputed":false,"imputed_pct":0.0,"n_configs":5.0},{"method":"RealMLP","family":"Neural Network","x_train":141.1529977589,"imp":14.0494815617,"elo":1472.4,"imputed":false,"imputed_pct":0.0,"n_configs":10.0},{"method":"RealMLP","family":"Neural Network","x_train":364.6011469598,"imp":13.5783749734,"elo":1501.6,"imputed":false,"imputed_pct":0.0,"n_configs":25.0},{"method":"RealMLP","family":"Neural Network","x_train":736.9754853516,"imp":13.3599617663,"elo":1514.7,"imputed":false,"imputed_pct":0.0,"n_configs":50.0},{"method":"RealMLP","family":"Neural Network","x_train":1469.2653973047,"imp":13.1815280667,"elo":1523.4,"imputed":false,"imputed_pct":0.0,"n_configs":100.0},{"method":"RealMLP","family":"Neural Network","x_train":2197.5320041687,"imp":13.0947560982,"elo":1529.1,"imputed":false,"imputed_pct":0.0,"n_configs":150.0},{"method":"RealMLP","family":"Neural Network","x_train":2950.7244476948,"imp":13.0303132994,"elo":1532.0,"imputed":false,"imputed_pct":0.0,"n_configs":201.0},{"method":"RealTabPFN-2.5","family":"Foundation Model","x_train":5.8097985299,"imp":11.8364419419,"elo":1538.0,"imputed":false,"imputed_pct":0.0,"n_configs":1.0},{"method":"RealTabPFN-2.5","family":"Foundation Model","x_train":16.6950892358,"imp":11.7518196327,"elo":1544.3,"imputed":false,"imputed_pct":0.0,"n_configs":2.0},{"method":"RealTabPFN-2.5","family":"Foundation Model","x_train":45.8180610371,"imp":11.4266768951,"elo":1560.6,"imputed":false,"imputed_pct":0.0,"n_configs":5.0},{"method":"RealTabPFN-2.5","family":"Foundation Model","x_train":96.056645332,"imp":11.2431251609,"elo":1577.9,"imputed":false,"imputed_pct":0.0,"n_configs":10.0},{"method":"RealTabPFN-2.5","family":"Foundation Model","x_train":245.1410909168,"imp":10.99785682,"elo":1598.3,"imputed":false,"imputed_pct":0.0,"n_configs":25.0},{"method":"RealTabPFN-2.5","family":"Foundation Model","x_train":498.5667116885,"imp":10.817236033,"elo":1607.9,"imputed":false,"imputed_pct":0.0,"n_configs":50.0},{"method":"RealTabPFN-2.5","family":"Foundation Model","x_train":1015.1487598759,"imp":10.7000861958,"elo":1612.5,"imputed":false,"imputed_pct":0.0,"n_configs":100.0},{"method":"RealTabPFN-2.5","family":"Foundation Model","x_train":1526.7130408425,"imp":10.6423311793,"elo":1613.7,"imputed":false,"imputed_pct":0.0,"n_configs":150.0},{"method":"RealTabPFN-2.5","family":"Foundation Model","x_train":2040.2228420973,"imp":10.592964435,"elo":1612.8,"imputed":false,"imputed_pct":0.0,"n_configs":201.0},{"method":"SAP-RPT-OSS","family":"Foundation Model","x_train":14.1132668455,"imp":18.4361747724,"elo":1297.7,"imputed":false,"imputed_pct":0.0,"n_configs":1.0},{"method":"TabDPT","family":"Foundation Model","x_train":47.6466878891,"imp":17.3200095086,"elo":1338.1,"imputed":false,"imputed_pct":0.0,"n_configs":1.0},{"method":"TabDPT","family":"Foundation Model","x_train":70.407219275,"imp":16.5048332336,"elo":1364.6,"imputed":false,"imputed_pct":0.0,"n_configs":2.0},{"method":"TabDPT","family":"Foundation Model","x_train":132.9785409439,"imp":15.6948983485,"elo":1400.0,"imputed":false,"imputed_pct":0.0,"n_configs":5.0},{"method":"TabDPT","family":"Foundation Model","x_train":243.7764468154,"imp":15.3426007548,"elo":1416.0,"imputed":false,"imputed_pct":0.0,"n_configs":10.0},{"method":"TabDPT","family":"Foundation Model","x_train":599.1452639259,"imp":14.6757810887,"elo":1442.9,"imputed":false,"imputed_pct":0.0,"n_configs":25.0},{"method":"TabDPT","family":"Foundation Model","x_train":1224.6320092925,"imp":14.3371127581,"elo":1457.4,"imputed":false,"imputed_pct":0.0,"n_configs":50.0},{"method":"TabDPT","family":"Foundation Model","x_train":2440.7040454743,"imp":14.120268726,"elo":1467.5,"imputed":false,"imputed_pct":0.0,"n_configs":100.0},{"method":"TabDPT","family":"Foundation Model","x_train":3652.693914187,"imp":13.9792030361,"elo":1472.6,"imputed":false,"imputed_pct":0.0,"n_configs":150.0},{"method":"TabDPT","family":"Foundation Model","x_train":4910.3773062373,"imp":13.9094698524,"elo":1474.7,"imputed":false,"imputed_pct":0.0,"n_configs":201.0},{"method":"TabDPT-Turbo","family":"Foundation Model","x_train":2.0676840515,"imp":14.1108390908,"elo":1472.8,"imputed":false,"imputed_pct":0.0,"n_configs":1.0},{"method":"TabFM","family":"Foundation Model","x_train":38.8059088678,"imp":4.2372287567,"elo":1811.0,"imputed":false,"imputed_pct":0.0,"n_configs":1.0},{"method":"TabICLv2","family":"Foundation Model","x_train":2.0524528172,"imp":10.3062074973,"elo":1612.3,"imputed":false,"imputed_pct":0.0,"n_configs":1.0},{"method":"TabM","family":"Neural Network","x_train":7.4864639685,"imp":17.1099402154,"elo":1307.5,"imputed":false,"imputed_pct":0.0,"n_configs":1.0},{"method":"TabM","family":"Neural Network","x_train":16.6863025317,"imp":16.5861713102,"elo":1334.7,"imputed":false,"imputed_pct":0.0,"n_configs":2.0},{"method":"TabM","family":"Neural Network","x_train":56.5960636953,"imp":15.9500890016,"elo":1370.8,"imputed":false,"imputed_pct":0.0,"n_configs":5.0},{"method":"TabM","family":"Neural Network","x_train":118.7995551511,"imp":15.3799972793,"elo":1405.2,"imputed":false,"imputed_pct":0.0,"n_configs":10.0},{"method":"TabM","family":"Neural Network","x_train":301.7168598673,"imp":14.8888177747,"elo":1431.1,"imputed":false,"imputed_pct":0.0,"n_configs":25.0},{"method":"TabM","family":"Neural Network","x_train":606.795758935,"imp":14.6014601951,"elo":1447.6,"imputed":false,"imputed_pct":0.0,"n_configs":50.0},{"method":"TabM","family":"Neural Network","x_train":1211.551032833,"imp":14.3994105791,"elo":1459.2,"imputed":false,"imputed_pct":0.0,"n_configs":100.0},{"method":"TabM","family":"Neural Network","x_train":1826.0696865509,"imp":14.2554824838,"elo":1465.5,"imputed":false,"imputed_pct":0.0,"n_configs":150.0},{"method":"TabM","family":"Neural Network","x_train":2450.1270774379,"imp":14.2009551475,"elo":1470.8,"imputed":false,"imputed_pct":0.0,"n_configs":201.0},{"method":"TabPFN-2.6","family":"Foundation Model","x_train":5.4825798778,"imp":10.8756504242,"elo":1642.3,"imputed":false,"imputed_pct":0.0,"n_configs":1.0},{"method":"TabPFN-3","family":"Foundation Model","x_train":3.65846503,"imp":9.4691246975,"elo":1684.6,"imputed":false,"imputed_pct":0.0,"n_configs":1.0},{"method":"TabSTAR","family":"Foundation Model","x_train":384.7456301814,"imp":30.5373703468,"elo":998.4,"imputed":false,"imputed_pct":0.0,"n_configs":1.0},{"method":"TabSTAR","family":"Foundation Model","x_train":579.5314694238,"imp":30.4104767438,"elo":1007.3,"imputed":false,"imputed_pct":0.0,"n_configs":2.0},{"method":"TabSTAR","family":"Foundation Model","x_train":986.9188087142,"imp":30.1448561806,"elo":1015.5,"imputed":false,"imputed_pct":0.0,"n_configs":5.0},{"method":"TabSTAR","family":"Foundation Model","x_train":1626.2057458405,"imp":29.4859362192,"elo":1033.4,"imputed":false,"imputed_pct":0.0,"n_configs":10.0},{"method":"TabSTAR","family":"Foundation Model","x_train":3523.6508469471,"imp":28.2919204959,"elo":1056.6,"imputed":false,"imputed_pct":0.0,"n_configs":25.0},{"method":"TabSTAR","family":"Foundation Model","x_train":7090.4373429841,"imp":27.0949232256,"elo":1077.3,"imputed":false,"imputed_pct":0.0,"n_configs":50.0},{"method":"TabSTAR","family":"Foundation Model","x_train":14236.6030369928,"imp":26.4253888444,"elo":1092.9,"imputed":false,"imputed_pct":0.0,"n_configs":100.0},{"method":"TabSTAR","family":"Foundation Model","x_train":21385.328840253,"imp":26.0136471975,"elo":1103.7,"imputed":false,"imputed_pct":0.0,"n_configs":150.0},{"method":"TabSTAR","family":"Foundation Model","x_train":28729.7373655693,"imp":25.6917683729,"elo":1114.7,"imputed":false,"imputed_pct":0.0,"n_configs":201.0},{"method":"TabSwift","family":"Foundation Model","x_train":1.1753394519,"imp":16.1900696791,"elo":1367.3,"imputed":false,"imputed_pct":0.0,"n_configs":1.0},{"method":"TorchMLP","family":"Neural Network","x_train":9.9925632138,"imp":22.9111991372,"elo":1082.5,"imputed":false,"imputed_pct":0.0,"n_configs":1.0},{"method":"TorchMLP","family":"Neural Network","x_train":23.3976730308,"imp":21.1908537777,"elo":1136.8,"imputed":false,"imputed_pct":0.0,"n_configs":2.0},{"method":"TorchMLP","family":"Neural Network","x_train":67.83522273,"imp":19.6678248532,"elo":1188.1,"imputed":false,"imputed_pct":0.0,"n_configs":5.0},{"method":"TorchMLP","family":"Neural Network","x_train":150.5961763502,"imp":18.9427734544,"elo":1221.5,"imputed":false,"imputed_pct":0.0,"n_configs":10.0},{"method":"TorchMLP","family":"Neural Network","x_train":358.8914252792,"imp":18.2632756708,"elo":1251.5,"imputed":false,"imputed_pct":0.0,"n_configs":25.0},{"method":"TorchMLP","family":"Neural Network","x_train":711.8242682675,"imp":17.8490876044,"elo":1273.0,"imputed":false,"imputed_pct":0.0,"n_configs":50.0},{"method":"TorchMLP","family":"Neural Network","x_train":1402.3570975877,"imp":17.5551659156,"elo":1287.0,"imputed":false,"imputed_pct":0.0,"n_configs":100.0},{"method":"TorchMLP","family":"Neural Network","x_train":2125.0611186926,"imp":17.3989496308,"elo":1295.7,"imputed":false,"imputed_pct":0.0,"n_configs":150.0},{"method":"TorchMLP","family":"Neural Network","x_train":2875.5203407747,"imp":17.2651469508,"elo":1302.3,"imputed":false,"imputed_pct":0.0,"n_configs":201.0},{"method":"XGBoost","family":"Tree-based","x_train":1.9409389396,"imp":18.9023182003,"elo":1217.7,"imputed":false,"imputed_pct":0.0,"n_configs":1.0},{"method":"XGBoost","family":"Tree-based","x_train":5.7736976246,"imp":17.2579786532,"elo":1300.8,"imputed":false,"imputed_pct":0.0,"n_configs":2.0},{"method":"XGBoost","family":"Tree-based","x_train":17.1658020762,"imp":16.7262377088,"elo":1336.9,"imputed":false,"imputed_pct":0.0,"n_configs":5.0},{"method":"XGBoost","family":"Tree-based","x_train":34.0813643193,"imp":16.4089956169,"elo":1357.7,"imputed":false,"imputed_pct":0.0,"n_configs":10.0},{"method":"XGBoost","family":"Tree-based","x_train":86.4155038646,"imp":16.1631908986,"elo":1372.7,"imputed":false,"imputed_pct":0.0,"n_configs":25.0},{"method":"XGBoost","family":"Tree-based","x_train":172.6999358448,"imp":16.0607451783,"elo":1379.2,"imputed":false,"imputed_pct":0.0,"n_configs":50.0},{"method":"XGBoost","family":"Tree-based","x_train":344.2808053206,"imp":15.9789667334,"elo":1385.5,"imputed":false,"imputed_pct":0.0,"n_configs":100.0},{"method":"XGBoost","family":"Tree-based","x_train":515.1408947248,"imp":15.9199188641,"elo":1389.7,"imputed":false,"imputed_pct":0.0,"n_configs":150.0},{"method":"XGBoost","family":"Tree-based","x_train":693.4907982506,"imp":15.8723852125,"elo":1394.2,"imputed":false,"imputed_pct":0.0,"n_configs":201.0},{"method":"iLTM","family":"Foundation Model","x_train":296.6392917616,"imp":23.1155799692,"elo":1103.5,"imputed":false,"imputed_pct":0.0,"n_configs":1.0},{"method":"iLTM","family":"Foundation Model","x_train":761.0284006744,"imp":20.4251001811,"elo":1172.8,"imputed":false,"imputed_pct":0.0,"n_configs":2.0},{"method":"iLTM","family":"Foundation Model","x_train":2323.5909795411,"imp":18.8876240891,"elo":1277.5,"imputed":false,"imputed_pct":0.0,"n_configs":5.0},{"method":"iLTM","family":"Foundation Model","x_train":4948.4562156001,"imp":17.6202638757,"elo":1340.9,"imputed":false,"imputed_pct":0.0,"n_configs":10.0},{"method":"iLTM","family":"Foundation Model","x_train":12120.2560802151,"imp":15.4368266474,"elo":1419.3,"imputed":false,"imputed_pct":0.0,"n_configs":25.0},{"method":"iLTM","family":"Foundation Model","x_train":12685.0815501834,"imp":15.4079370798,"elo":1422.9,"imputed":false,"imputed_pct":0.0,"n_configs":26.0},{"method":"xRFM","family":"Other","x_train":3.2328671519,"imp":26.5470557995,"elo":1050.3,"imputed":false,"imputed_pct":0.0,"n_configs":1.0},{"method":"xRFM","family":"Other","x_train":7.7757953049,"imp":23.3150618412,"elo":1112.9,"imputed":false,"imputed_pct":0.0,"n_configs":2.0},{"method":"xRFM","family":"Other","x_train":20.6204304219,"imp":19.3663644672,"elo":1230.1,"imputed":false,"imputed_pct":0.0,"n_configs":5.0},{"method":"xRFM","family":"Other","x_train":41.9962580807,"imp":17.6205680678,"elo":1311.8,"imputed":false,"imputed_pct":0.0,"n_configs":10.0},{"method":"xRFM","family":"Other","x_train":105.704979404,"imp":16.7915767575,"elo":1350.6,"imputed":false,"imputed_pct":0.0,"n_configs":25.0},{"method":"xRFM","family":"Other","x_train":210.3194448262,"imp":16.5245179636,"elo":1362.7,"imputed":false,"imputed_pct":0.0,"n_configs":50.0},{"method":"xRFM","family":"Other","x_train":422.0870812379,"imp":16.4231868881,"elo":1365.3,"imputed":false,"imputed_pct":0.0,"n_configs":100.0},{"method":"xRFM","family":"Other","x_train":631.9086612835,"imp":16.4027820314,"elo":1366.0,"imputed":false,"imputed_pct":0.0,"n_configs":150.0},{"method":"xRFM","family":"Other","x_train":846.8860702337,"imp":16.3999587078,"elo":1365.4,"imputed":false,"imputed_pct":0.0,"n_configs":201.0}]; const NS = "http://www.w3.org/2000/svg"; diff --git a/data/imputation_no/splits_all/tasks_all/datasets_all/website_leaderboard.csv b/data/imputation_no/splits_all/tasks_all/datasets_all/website_leaderboard.csv index 4cfe02bbcd06270116b0708e543ef9b7e14a5821..543bb023117289fd9f4e0c8bf71f9063120cc0ae 100644 --- a/data/imputation_no/splits_all/tasks_all/datasets_all/website_leaderboard.csv +++ b/data/imputation_no/splits_all/tasks_all/datasets_all/website_leaderboard.csv @@ -1,71 +1,72 @@ #,Type,TypeName,Model,Elo [⬆️],Elo 95% CI,Score [⬆️],Rank [⬇️],Harmonic Rank [⬇️],Improvability (%) [⬇️],Median Train Time (s/1K) [⬇️],Median Predict Time (s/1K) [⬇️],Verified,Imputed (%) [⬇️],Imputed,Hardware -0,🧠⚡,Foundation Model,[TabFM (default)](https://github.com/google-research/tabfm),1792.0,+115/-110,0.889,6.17,1.72,4.074,38.81,6.985,✔️,0.0,False,GPU -1,📊,Reference Pipeline,"[AutoGluon 1.5 (extreme, 4h)](https://arxiv.org/abs/2003.06505)",1691.0,+82/-68,0.662,9.39,4.03,7.979,289.07,4.031,✔️,0.0,False,GPU -2,🧠⚡,Foundation Model,[TabPFN-3 (default)](https://arxiv.org/abs/2605.13986),1665.0,+80/-61,0.67,10.41,4.06,9.328,3.66,0.399,✔️,0.0,False,GPU -3,🧠⚡,Foundation Model,[TabPFN-2.6 (default)](https://arxiv.org/abs/2511.08667),1620.0,+71/-51,0.583,12.42,7.14,10.751,5.48,0.555,✔️,0.0,False,GPU -4,🧠⚡,Foundation Model,[RealTabPFN-2.5 (tuned + ensembled)](https://arxiv.org/abs/2511.08667),1595.0,+74/-56,0.549,13.64,6.22,10.427,2040.22,8.908,✔️,0.0,False,GPU -5,🧠⚡,Foundation Model,[TabICLv2 (default)](https://arxiv.org/abs/2602.11139),1594.0,+73/-61,0.606,13.71,4.97,10.175,2.05,0.151,✔️,0.0,False,GPU -6,🧠⚡,Foundation Model,[RealTabPFN-2.5 (tuned)](https://arxiv.org/abs/2511.08667),1554.0,+65/-55,0.504,15.81,7.33,11.116,2040.22,1.218,✔️,0.0,False,GPU -7,🧠⚡,Foundation Model,[RealTabPFN-2.5 (default)](https://arxiv.org/abs/2511.08667),1524.0,+62/-44,0.474,17.55,9.62,11.66,5.81,0.645,✔️,0.0,False,GPU -8,📊,Reference Pipeline,"[AutoGluon 1.4 (best, 4h)](https://arxiv.org/abs/2003.06505)",1514.0,+53/-46,0.401,18.2,8.44,12.789,1735.72,2.558,✔️,0.0,False,CPU -9,🧠🔁,Neural Network,[RealMLP (tuned + ensembled)](https://arxiv.org/abs/2407.04491),1508.0,+54/-46,0.405,18.55,11.52,12.881,2950.72,11.975,✔️,0.0,False,GPU -10,🧠⚡,Foundation Model,[TabDPT-Turbo (default)](https://openreview.net/pdf?id=Y00pwFyrHR),1459.0,+55/-51,0.38,21.7,9.59,14.0,2.07,0.182,➖,0.0,False,GPU -11,🧠⚡,Foundation Model,[TabDPT (tuned + ensembled)](https://arxiv.org/abs/2410.18164),1458.0,+60/-51,0.375,21.81,8.16,13.788,4910.38,286.537,✔️,0.0,False,GPU -12,🧠🔁,Neural Network,[TabM (tuned + ensembled)](https://arxiv.org/abs/2410.24210),1450.0,+52/-43,0.315,22.33,12.48,14.081,2450.13,2.247,✔️,0.0,False,GPU -13,🌳,Tree-based,[LightGBM (tuned + ensembled)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1433.0,+33/-31,0.262,23.53,17.2,15.033,417.05,2.639,✔️,0.0,False,CPU -14,🧠🔁,Neural Network,[RealMLP (tuned)](https://arxiv.org/abs/2407.04491),1426.0,+48/-45,0.295,23.99,13.67,14.202,2950.72,0.663,✔️,0.0,False,GPU -15,🌳,Tree-based,[CatBoost (tuned + ensembled)](https://arxiv.org/abs/1706.09516),1422.0,+39/-38,0.261,24.34,14.77,14.656,1346.21,0.344,✔️,0.0,False,CPU -16,🌳,Tree-based,[CatBoost (tuned)](https://arxiv.org/abs/1706.09516),1408.0,+38/-43,0.245,25.3,15.31,14.885,1346.21,0.038,✔️,0.0,False,CPU -17,🧠⚡,Foundation Model,[iLTM (tuned + ensembled)](https://arxiv.org/abs/2511.15941),1404.0,+40/-42,0.235,25.56,17.78,15.304,12685.08,464.37,✔️,0.0,False,GPU -18,🧠⚡,Foundation Model,[TabDPT (tuned)](https://arxiv.org/abs/2410.18164),1403.0,+59/-56,0.316,25.69,11.3,14.936,4910.38,39.96,✔️,0.0,False,GPU -19,🧠🔁,Neural Network,[TabM (tuned)](https://arxiv.org/abs/2410.24210),1394.0,+48/-42,0.251,26.35,14.47,14.952,2450.13,0.251,✔️,0.0,False,GPU -20,🧠🔁,Neural Network,[ModernNCA (tuned + ensembled)](https://arxiv.org/abs/2407.03257),1389.0,+73/-52,0.277,26.66,12.79,15.599,4621.67,8.138,✔️,0.0,False,GPU -21,🌳,Tree-based,[LightGBM (tuned)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1386.0,+29/-29,0.194,26.93,20.71,15.688,417.05,0.334,✔️,0.0,False,CPU -22,🌳,Tree-based,[CatBoost (default)](https://arxiv.org/abs/1706.09516),1378.0,+40/-42,0.224,27.47,16.11,15.524,5.88,0.025,✔️,0.0,False,CPU -23,🌳,Tree-based,[XGBoost (tuned + ensembled)](https://arxiv.org/abs/1603.02754),1375.0,+31/-33,0.198,27.73,19.98,15.754,693.49,1.689,✔️,0.0,False,CPU -24,🧠⚡,Foundation Model,[LimiX (default)](https://arxiv.org/abs/2509.03505),1363.0,+78/-59,0.299,28.66,9.55,15.526,26.46,6.242,➖,0.0,False,GPU -25,🧠🔁,Neural Network,[ModernNCA (tuned)](https://arxiv.org/abs/2407.03257),1355.0,+37/-37,0.189,29.21,16.82,16.044,4621.67,0.475,✔️,0.0,False,GPU -26,🧠⚡,Foundation Model,[TabSwift (default)](https://github.com/LAMDA-Tabular/TabSwift),1350.0,+58/-52,0.251,29.58,17.68,16.081,1.18,0.072,➖,0.0,False,GPU -27,🌳,Tree-based,[XGBoost (tuned)](https://arxiv.org/abs/1603.02754),1350.0,+29/-32,0.16,29.6,22.22,16.065,693.49,0.308,✔️,0.0,False,CPU -28,❓,Other,[xRFM (tuned + ensembled)](https://arxiv.org/abs/2508.10053),1348.0,+49/-43,0.209,29.79,18.96,16.284,846.89,2.549,✔️,0.0,False,GPU -29,🌳,Tree-based,[ChimeraBoost (tuned + ensembled)](https://github.com/bbstats/chimeraboost),1333.0,+46/-60,0.186,30.87,19.34,17.213,427.39,0.404,✔️,0.0,False,CPU -30,🧠⚡,Foundation Model,[TabDPT (default)](https://arxiv.org/abs/2410.18164),1325.0,+64/-55,0.245,31.53,14.33,17.225,47.65,43.738,✔️,0.0,False,GPU -31,🌳,Tree-based,[ChimeraBoost (tuned)](https://github.com/bbstats/chimeraboost),1308.0,+44/-60,0.156,32.79,21.32,17.551,427.39,0.034,✔️,0.0,False,CPU -32,❓,Other,[xRFM (tuned)](https://arxiv.org/abs/2508.10053),1300.0,+45/-39,0.158,33.43,22.28,17.449,846.89,0.13,✔️,0.0,False,GPU -33,🧠🔁,Neural Network,[TabM (default)](https://arxiv.org/abs/2410.24210),1298.0,+47/-44,0.161,33.63,21.84,17.0,7.49,0.244,✔️,0.0,False,GPU -34,🧠⚡,Foundation Model,[iLTM (tuned)](https://arxiv.org/abs/2511.15941),1295.0,+40/-33,0.111,33.83,23.47,17.147,12685.08,62.13,✔️,0.0,False,GPU -35,🧠🔁,Neural Network,[TorchMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1285.0,+48/-47,0.126,34.58,25.37,17.161,2875.52,1.952,✔️,0.0,False,CPU -36,🧠⚡,Foundation Model,[SAP-RPT-OSS (default)](https://arxiv.org/abs/2506.10707),1283.0,+57/-55,0.194,34.72,14.11,18.278,14.11,2.075,➖,0.0,False,GPU -37,🌳,Tree-based,[EBM (tuned + ensembled)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1272.0,+40/-40,0.116,35.64,25.8,18.672,1711.25,0.141,✔️,0.0,False,CPU -38,🌳,Tree-based,[ChimeraBoost (default)](https://github.com/bbstats/chimeraboost),1264.0,+47/-55,0.121,36.23,23.23,18.657,1.99,0.033,✔️,0.0,False,CPU -39,🧠🔁,Neural Network,[ModernNCA (default)](https://arxiv.org/abs/2407.03257),1248.0,+41/-39,0.09,37.44,23.68,19.194,14.87,0.307,✔️,0.0,False,GPU -40,🌳,Tree-based,[EBM (tuned)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1235.0,+44/-40,0.082,38.43,28.17,19.314,1711.25,0.015,✔️,0.0,False,CPU -41,🧠🔁,Neural Network,[RealMLP (default)](https://arxiv.org/abs/2407.04491),1230.0,+36/-37,0.066,38.85,29.23,18.569,10.06,1.689,✔️,0.0,False,GPU -42,🌳,Tree-based,[XGBoost (default)](https://arxiv.org/abs/1603.02754),1214.0,+39/-36,0.053,40.04,30.76,18.792,1.94,0.123,✔️,0.0,False,CPU -43,🧠🔁,Neural Network,[TorchMLP (tuned)](https://arxiv.org/abs/2003.06505),1212.0,+41/-42,0.069,40.24,30.96,18.877,2875.52,0.131,✔️,0.0,False,CPU -44,🌳,Tree-based,[ExtraTrees (tuned + ensembled)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1208.0,+49/-43,0.083,40.47,28.16,19.777,263.04,0.766,✔️,0.0,False,CPU -45,🧠🔁,Neural Network,[FastaiMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1207.0,+51/-59,0.105,40.58,25.38,19.677,593.24,4.467,✔️,0.0,False,CPU -46,🌳,Tree-based,[EBM (default)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1204.0,+45/-49,0.069,40.82,28.54,20.255,6.67,0.014,✔️,0.0,False,CPU -47,🌳,Tree-based,[LightGBM (default)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1186.0,+34/-29,0.038,42.12,36.15,19.344,1.96,0.142,✔️,0.0,False,CPU -48,🌳,Tree-based,[ExtraTrees (tuned)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1180.0,+45/-52,0.074,42.56,26.73,20.564,263.04,0.071,✔️,0.0,False,CPU -49,🌳,Tree-based,[RandomForest (tuned + ensembled)](https://link.springer.com/article/10.1023/A:1010933404324),1171.0,+54/-47,0.06,43.28,29.04,20.828,373.24,0.771,✔️,0.0,False,CPU -50,🧠🔁,Neural Network,[FastaiMLP (tuned)](https://arxiv.org/abs/2003.06505),1147.0,+52/-59,0.048,45.01,31.19,21.096,593.24,0.306,✔️,0.0,False,CPU -51,🌳,Tree-based,[RandomForest (tuned)](https://link.springer.com/article/10.1023/A:1010933404324),1137.0,+50/-44,0.041,45.71,28.56,21.535,373.24,0.085,✔️,0.0,False,CPU -52,🧠⚡,Foundation Model,[TabSTAR (tuned)](https://arxiv.org/abs/2505.18125),1097.0,+75/-83,0.125,48.47,15.95,25.584,28729.74,4.268,✔️,0.0,False,GPU -53,🧠⚡,Foundation Model,[TabSTAR (tuned + ensembled)](https://arxiv.org/abs/2505.18125),1096.0,+79/-83,0.123,48.56,15.35,25.6,28729.74,18.811,✔️,0.0,False,GPU -54,🧠⚡,Foundation Model,[iLTM (default)](https://arxiv.org/abs/2511.15941),1094.0,+47/-54,0.037,48.66,33.93,23.024,296.64,68.173,✔️,0.0,False,GPU -55,🌳,Tree-based,[PerpetualBooster (tuned + ensembled)](https://perpetual-ml.com/),1089.0,+44/-45,0.024,49.04,38.83,26.446,185.31,0.6,✔️,0.0,False,CPU -56,🧠🔁,Neural Network,[TorchMLP (default)](https://arxiv.org/abs/2003.06505),1074.0,+34/-42,0.011,49.99,39.42,22.815,9.99,0.126,✔️,0.0,False,CPU -57,🌳,Tree-based,[PerpetualBooster (tuned)](https://perpetual-ml.com/),1050.0,+47/-50,0.011,51.52,39.96,27.802,185.31,0.258,✔️,0.0,False,CPU -58,❓,Other,[xRFM (default)](https://arxiv.org/abs/2508.10053),1043.0,+61/-70,0.029,51.95,44.11,26.445,3.23,0.919,✔️,0.0,False,GPU -59,🌳,Tree-based,[ExtraTrees (default)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1009.0,+51/-66,0.012,54.0,47.38,26.176,1.87,0.283,✔️,0.0,False,CPU -60,🧠🔁,Neural Network,[FastaiMLP (default)](https://arxiv.org/abs/2003.06505),1008.0,+57/-62,0.009,54.07,39.97,25.682,2.86,0.373,✔️,0.0,False,CPU -61,🌳,Tree-based,[RandomForest (default)](https://link.springer.com/article/10.1023/A:1010933404324),1000.0,+47/-47,0.003,54.51,49.81,26.265,0.43,0.054,✔️,0.0,False,CPU -62,📏,Baseline,[KNN (tuned + ensembled)](https://scikit-learn.org/stable/modules/neighbors.html),997.0,+61/-76,0.017,54.67,38.92,27.822,129.08,1.801,✔️,0.0,False,CPU -63,🧠⚡,Foundation Model,[TabSTAR (default)](https://arxiv.org/abs/2505.18125),993.0,+89/-104,0.077,54.89,24.31,30.456,384.75,5.348,✔️,0.0,False,GPU -64,📏,Baseline,[Linear (tuned + ensembled)](https://scikit-learn.org/stable/modules/linear_model.html),965.0,+64/-100,0.031,56.39,40.87,33.667,237.63,0.424,✔️,0.0,False,CPU -65,📏,Baseline,[Linear (tuned)](https://scikit-learn.org/stable/modules/linear_model.html),940.0,+70/-105,0.022,57.67,42.64,34.211,237.63,0.085,✔️,0.0,False,CPU -66,🌳,Tree-based,[PerpetualBooster (default)](https://perpetual-ml.com/),936.0,+43/-57,0.0,57.84,45.44,31.748,27.32,0.029,✔️,0.0,False,CPU -67,📏,Baseline,[KNN (tuned)](https://scikit-learn.org/stable/modules/neighbors.html),890.0,+61/-100,0.008,59.92,46.93,32.782,129.08,0.18,✔️,0.0,False,CPU -68,📏,Baseline,[Linear (default)](https://scikit-learn.org/stable/modules/linear_model.html),861.0,+69/-118,0.014,61.12,47.51,36.822,1.19,0.12,✔️,0.0,False,CPU -69,📏,Baseline,[KNN (default)](https://scikit-learn.org/stable/modules/neighbors.html),654.0,+78/-91,0.0,66.89,60.42,45.987,0.19,0.036,✔️,0.0,False,CPU +0,🧠⚡,Foundation Model,[TabFM (default)](https://github.com/google-research/tabfm),1796.0,+115/-110,0.88,6.45,1.79,4.221,38.81,6.985,✔️,0.0,False,GPU +1,🧠⚡,Foundation Model,[EXAONE-Tabular (default)](https://github.com/LGAI-Research/EXAONE-Tabular),1731.0,+74/-54,0.729,8.47,3.6,8.459,5.94,0.712,✔️,0.0,False,GPU +2,📊,Reference Pipeline,"[AutoGluon 1.5 (extreme, 4h)](https://arxiv.org/abs/2003.06505)",1690.0,+80/-67,0.651,9.98,4.39,8.101,289.07,4.031,✔️,0.0,False,GPU +3,🧠⚡,Foundation Model,[TabPFN-3 (default)](https://arxiv.org/abs/2605.13986),1666.0,+80/-61,0.66,10.95,4.34,9.452,3.66,0.399,✔️,0.0,False,GPU +4,🧠⚡,Foundation Model,[TabPFN-2.6 (default)](https://arxiv.org/abs/2511.08667),1618.0,+69/-51,0.571,13.18,7.92,10.856,5.48,0.555,✔️,0.0,False,GPU +5,🧠⚡,Foundation Model,[TabICLv2 (default)](https://arxiv.org/abs/2602.11139),1595.0,+72/-60,0.598,14.34,5.33,10.286,2.05,0.151,✔️,0.0,False,GPU +6,🧠⚡,Foundation Model,[RealTabPFN-2.5 (tuned + ensembled)](https://arxiv.org/abs/2511.08667),1594.0,+72/-55,0.539,14.37,6.87,10.568,2040.22,8.908,✔️,0.0,False,GPU +7,🧠⚡,Foundation Model,[RealTabPFN-2.5 (tuned)](https://arxiv.org/abs/2511.08667),1554.0,+64/-55,0.494,16.55,7.93,11.266,2040.22,1.218,✔️,0.0,False,GPU +8,🧠⚡,Foundation Model,[RealTabPFN-2.5 (default)](https://arxiv.org/abs/2511.08667),1524.0,+60/-44,0.464,18.34,10.6,11.817,5.81,0.645,✔️,0.0,False,GPU +9,📊,Reference Pipeline,"[AutoGluon 1.4 (best, 4h)](https://arxiv.org/abs/2003.06505)",1513.0,+52/-46,0.386,19.02,9.7,12.887,1735.72,2.558,✔️,0.0,False,CPU +10,🧠🔁,Neural Network,[RealMLP (tuned + ensembled)](https://arxiv.org/abs/2407.04491),1507.0,+52/-45,0.39,19.39,12.47,13.011,2950.72,11.975,✔️,0.0,False,GPU +11,🧠⚡,Foundation Model,[TabDPT-Turbo (default)](https://openreview.net/pdf?id=Y00pwFyrHR),1460.0,+54/-50,0.37,22.48,10.05,14.093,2.07,0.182,➖,0.0,False,GPU +12,🧠⚡,Foundation Model,[TabDPT (tuned + ensembled)](https://arxiv.org/abs/2410.18164),1458.0,+60/-50,0.366,22.6,8.5,13.889,4910.38,286.537,✔️,0.0,False,GPU +13,🧠🔁,Neural Network,[TabM (tuned + ensembled)](https://arxiv.org/abs/2410.24210),1450.0,+51/-42,0.303,23.2,13.35,14.183,2450.13,2.247,✔️,0.0,False,GPU +14,🌳,Tree-based,[LightGBM (tuned + ensembled)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1432.0,+32/-30,0.248,24.44,18.33,15.128,417.05,2.639,✔️,0.0,False,CPU +15,🧠🔁,Neural Network,[RealMLP (tuned)](https://arxiv.org/abs/2407.04491),1426.0,+48/-44,0.28,24.86,14.79,14.323,2950.72,0.663,✔️,0.0,False,GPU +16,🌳,Tree-based,[CatBoost (tuned + ensembled)](https://arxiv.org/abs/1706.09516),1421.0,+38/-37,0.248,25.25,15.97,14.761,1346.21,0.344,✔️,0.0,False,CPU +17,🌳,Tree-based,[CatBoost (tuned)](https://arxiv.org/abs/1706.09516),1408.0,+37/-43,0.232,26.2,16.28,14.99,1346.21,0.038,✔️,0.0,False,CPU +18,🧠⚡,Foundation Model,[iLTM (tuned + ensembled)](https://arxiv.org/abs/2511.15941),1404.0,+41/-41,0.225,26.46,18.71,15.39,12685.08,464.37,✔️,0.0,False,GPU +19,🧠⚡,Foundation Model,[TabDPT (tuned)](https://arxiv.org/abs/2410.18164),1404.0,+58/-56,0.31,26.49,11.83,15.025,4910.38,39.96,✔️,0.0,False,GPU +20,🧠🔁,Neural Network,[TabM (tuned)](https://arxiv.org/abs/2410.24210),1393.0,+48/-42,0.239,27.25,15.38,15.051,2450.13,0.251,✔️,0.0,False,GPU +21,🧠🔁,Neural Network,[ModernNCA (tuned + ensembled)](https://arxiv.org/abs/2407.03257),1389.0,+72/-52,0.267,27.57,13.55,15.718,4621.67,8.138,✔️,0.0,False,GPU +22,🌳,Tree-based,[LightGBM (tuned)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1385.0,+29/-28,0.181,27.85,21.72,15.782,417.05,0.334,✔️,0.0,False,CPU +23,🌳,Tree-based,[CatBoost (default)](https://arxiv.org/abs/1706.09516),1378.0,+39/-42,0.211,28.37,17.08,15.62,5.88,0.025,✔️,0.0,False,CPU +24,🌳,Tree-based,[XGBoost (tuned + ensembled)](https://arxiv.org/abs/1603.02754),1374.0,+31/-32,0.184,28.66,21.38,15.854,693.49,1.689,✔️,0.0,False,CPU +25,🧠⚡,Foundation Model,[LimiX (default)](https://arxiv.org/abs/2509.03505),1363.0,+77/-58,0.293,29.52,10.35,15.645,26.46,6.242,➖,0.0,False,GPU +26,🧠🔁,Neural Network,[ModernNCA (tuned)](https://arxiv.org/abs/2407.03257),1355.0,+37/-36,0.18,30.12,17.56,16.145,4621.67,0.475,✔️,0.0,False,GPU +27,🧠⚡,Foundation Model,[TabSwift (default)](https://github.com/LAMDA-Tabular/TabSwift),1351.0,+58/-51,0.245,30.43,18.48,16.172,1.18,0.072,➖,0.0,False,GPU +28,🌳,Tree-based,[XGBoost (tuned)](https://arxiv.org/abs/1603.02754),1349.0,+29/-32,0.147,30.54,23.2,16.166,693.49,0.308,✔️,0.0,False,CPU +29,❓,Other,[xRFM (tuned + ensembled)](https://arxiv.org/abs/2508.10053),1347.0,+50/-42,0.197,30.7,19.78,16.391,846.89,2.549,✔️,0.0,False,GPU +30,🌳,Tree-based,[ChimeraBoost (tuned + ensembled)](https://github.com/bbstats/chimeraboost),1333.0,+47/-60,0.178,31.78,20.47,17.301,427.39,0.404,✔️,0.0,False,CPU +31,🧠⚡,Foundation Model,[TabDPT (default)](https://arxiv.org/abs/2410.18164),1326.0,+63/-56,0.239,32.37,15.01,17.303,47.65,43.738,✔️,0.0,False,GPU +32,🌳,Tree-based,[ChimeraBoost (tuned)](https://github.com/bbstats/chimeraboost),1308.0,+45/-60,0.147,33.71,22.34,17.639,427.39,0.034,✔️,0.0,False,CPU +33,❓,Other,[xRFM (tuned)](https://arxiv.org/abs/2508.10053),1300.0,+44/-40,0.146,34.35,23.17,17.554,846.89,0.13,✔️,0.0,False,GPU +34,🧠🔁,Neural Network,[TabM (default)](https://arxiv.org/abs/2410.24210),1297.0,+47/-44,0.151,34.56,22.87,17.092,7.49,0.244,✔️,0.0,False,GPU +35,🧠⚡,Foundation Model,[iLTM (tuned)](https://arxiv.org/abs/2511.15941),1295.0,+39/-33,0.103,34.75,24.35,17.234,12685.08,62.13,✔️,0.0,False,GPU +36,🧠🔁,Neural Network,[TorchMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1285.0,+48/-47,0.118,35.53,26.58,17.252,2875.52,1.952,✔️,0.0,False,CPU +37,🧠⚡,Foundation Model,[SAP-RPT-OSS (default)](https://arxiv.org/abs/2506.10707),1284.0,+56/-56,0.187,35.62,15.01,18.419,14.11,2.075,➖,0.0,False,GPU +38,🌳,Tree-based,[EBM (tuned + ensembled)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1271.0,+41/-41,0.108,36.59,26.98,18.765,1711.25,0.141,✔️,0.0,False,CPU +39,🌳,Tree-based,[ChimeraBoost (default)](https://github.com/bbstats/chimeraboost),1264.0,+46/-56,0.113,37.15,23.92,18.743,1.99,0.033,✔️,0.0,False,CPU +40,🧠🔁,Neural Network,[ModernNCA (default)](https://arxiv.org/abs/2407.03257),1248.0,+40/-39,0.085,38.38,24.59,19.286,14.87,0.307,✔️,0.0,False,GPU +41,🌳,Tree-based,[EBM (tuned)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1235.0,+45/-41,0.076,39.39,29.19,19.404,1711.25,0.015,✔️,0.0,False,CPU +42,🧠🔁,Neural Network,[RealMLP (default)](https://arxiv.org/abs/2407.04491),1230.0,+35/-38,0.06,39.81,30.16,18.654,10.06,1.689,✔️,0.0,False,GPU +43,🌳,Tree-based,[XGBoost (default)](https://arxiv.org/abs/1603.02754),1214.0,+38/-36,0.047,41.02,31.88,18.885,1.94,0.123,✔️,0.0,False,CPU +44,🧠🔁,Neural Network,[TorchMLP (tuned)](https://arxiv.org/abs/2003.06505),1211.0,+41/-43,0.064,41.21,32.09,18.963,2875.52,0.131,✔️,0.0,False,CPU +45,🌳,Tree-based,[ExtraTrees (tuned + ensembled)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1209.0,+49/-44,0.08,41.41,28.98,19.87,263.04,0.766,✔️,0.0,False,CPU +46,🧠🔁,Neural Network,[FastaiMLP (tuned + ensembled)](https://arxiv.org/abs/2003.06505),1207.0,+52/-59,0.1,41.52,26.94,19.761,593.24,4.467,✔️,0.0,False,CPU +47,🌳,Tree-based,[EBM (default)](https://www.cs.cornell.edu/~yinlou/papers/lou-kdd13.pdf),1204.0,+45/-51,0.064,41.76,29.27,20.343,6.67,0.014,✔️,0.0,False,CPU +48,🌳,Tree-based,[LightGBM (default)](https://papers.nips.cc/paper_files/paper/2017/hash/6449f44a102fde848669bdd9eb6b76fa-Abstract.html),1186.0,+34/-28,0.035,43.1,37.1,19.428,1.96,0.142,✔️,0.0,False,CPU +49,🌳,Tree-based,[ExtraTrees (tuned)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1181.0,+46/-53,0.072,43.5,27.33,20.653,263.04,0.071,✔️,0.0,False,CPU +50,🌳,Tree-based,[RandomForest (tuned + ensembled)](https://link.springer.com/article/10.1023/A:1010933404324),1171.0,+54/-47,0.059,44.23,29.92,20.921,373.24,0.771,✔️,0.0,False,CPU +51,🧠🔁,Neural Network,[FastaiMLP (tuned)](https://arxiv.org/abs/2003.06505),1147.0,+52/-60,0.044,45.97,32.19,21.177,593.24,0.306,✔️,0.0,False,CPU +52,🌳,Tree-based,[RandomForest (tuned)](https://link.springer.com/article/10.1023/A:1010933404324),1137.0,+50/-45,0.04,46.67,29.24,21.625,373.24,0.085,✔️,0.0,False,CPU +53,🧠⚡,Foundation Model,[TabSTAR (tuned)](https://arxiv.org/abs/2505.18125),1098.0,+76/-84,0.124,49.38,16.29,25.658,28729.74,4.268,✔️,0.0,False,GPU +54,🧠⚡,Foundation Model,[TabSTAR (tuned + ensembled)](https://arxiv.org/abs/2505.18125),1097.0,+80/-83,0.122,49.47,15.55,25.674,28729.74,18.811,✔️,0.0,False,GPU +55,🧠⚡,Foundation Model,[iLTM (default)](https://arxiv.org/abs/2511.15941),1095.0,+47/-56,0.036,49.63,34.56,23.099,296.64,68.173,✔️,0.0,False,GPU +56,🌳,Tree-based,[PerpetualBooster (tuned + ensembled)](https://perpetual-ml.com/),1089.0,+44/-46,0.021,50.02,40.57,26.514,185.31,0.6,✔️,0.0,False,CPU +57,🧠🔁,Neural Network,[TorchMLP (default)](https://arxiv.org/abs/2003.06505),1074.0,+34/-42,0.008,50.98,40.22,22.899,9.99,0.126,✔️,0.0,False,CPU +58,🌳,Tree-based,[PerpetualBooster (tuned)](https://perpetual-ml.com/),1050.0,+47/-50,0.008,52.5,41.36,27.869,185.31,0.258,✔️,0.0,False,CPU +59,❓,Other,[xRFM (default)](https://arxiv.org/abs/2508.10053),1043.0,+60/-70,0.026,52.94,45.21,26.531,3.23,0.919,✔️,0.0,False,GPU +60,🌳,Tree-based,[ExtraTrees (default)](https://link.springer.com/article/10.1007/s10994-006-6226-1),1009.0,+50/-67,0.011,54.98,48.42,26.251,1.87,0.283,✔️,0.0,False,CPU +61,🧠🔁,Neural Network,[FastaiMLP (default)](https://arxiv.org/abs/2003.06505),1008.0,+58/-62,0.006,55.05,40.65,25.756,2.86,0.373,✔️,0.0,False,CPU +62,🌳,Tree-based,[RandomForest (default)](https://link.springer.com/article/10.1023/A:1010933404324),1000.0,+47/-47,0.002,55.5,50.86,26.342,0.43,0.054,✔️,0.0,False,CPU +63,📏,Baseline,[KNN (tuned + ensembled)](https://scikit-learn.org/stable/modules/neighbors.html),998.0,+61/-76,0.015,55.64,39.66,27.893,129.08,1.801,✔️,0.0,False,CPU +64,🧠⚡,Foundation Model,[TabSTAR (default)](https://arxiv.org/abs/2505.18125),994.0,+90/-104,0.076,55.81,24.62,30.521,384.75,5.348,✔️,0.0,False,GPU +65,📏,Baseline,[Linear (tuned + ensembled)](https://scikit-learn.org/stable/modules/linear_model.html),966.0,+64/-100,0.03,57.36,41.65,33.743,237.63,0.424,✔️,0.0,False,CPU +66,📏,Baseline,[Linear (tuned)](https://scikit-learn.org/stable/modules/linear_model.html),940.0,+71/-106,0.021,58.64,43.46,34.282,237.63,0.085,✔️,0.0,False,CPU +67,🌳,Tree-based,[PerpetualBooster (default)](https://perpetual-ml.com/),936.0,+43/-57,0.0,58.83,46.17,31.801,27.32,0.029,✔️,0.0,False,CPU +68,📏,Baseline,[KNN (tuned)](https://scikit-learn.org/stable/modules/neighbors.html),891.0,+61/-101,0.008,60.89,47.67,32.845,129.08,0.18,✔️,0.0,False,CPU +69,📏,Baseline,[Linear (default)](https://scikit-learn.org/stable/modules/linear_model.html),861.0,+69/-119,0.013,62.11,48.29,36.884,1.19,0.12,✔️,0.0,False,CPU +70,📏,Baseline,[KNN (default)](https://scikit-learn.org/stable/modules/neighbors.html),655.0,+78/-99,0.0,67.89,61.26,46.03,0.19,0.036,✔️,0.0,False,CPU diff --git a/data/imputation_no/splits_all/tasks_all/datasets_all/winrate_explorer.html b/data/imputation_no/splits_all/tasks_all/datasets_all/winrate_explorer.html index 204b555418132177fb5714df8b1f0aaa3153e960..ad6942e34332d4995861d843913231291b0ecce2 100644 --- a/data/imputation_no/splits_all/tasks_all/datasets_all/winrate_explorer.html +++ b/data/imputation_no/splits_all/tasks_all/datasets_all/winrate_explorer.html @@ -327,8 +327,8 @@