Tabular Learning on TabArena
1,663EloPrepTabPFN-2.5
Evaluation results
| Method | Links | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| PrepTabPFN-2.5Optimization protocol=Tuned + Ensembled2026.06 | 1,663 | 0.719 | 10.4 | 3 | 10 | 5.5 | 3,626.44 | 27.14 | |
| AutoGluon 1.42026.06 | 1,624 | 0.614 | 12.1 | 5.9 | 2.33 | 8.3 | 570.73 | 6.16 | |
| TabPFN-2.6Optimization protocol=Default2026.06 | 1,616 | 0.626 | 12.4 | 5.5 | 3 | 8.4 | 5.49 | 0.58 | |
| PrepTabPFN-2.5Optimization protocol=Tuned2026.06 | 1,602 | 0.615 | 13.2 | 5.5 | 1.83 | 6.4 | 3,626.44 | 2.58 | |
| TabICLv2Optimization protocol=Default2026.06 | 1,600 | 0.666 | 13.2 | 3.9 | 6.66 | 7.6 | 4.16 | 0.36 | |
| RealTabPFN-2.5Optimization protocol=Tuned + Ensembled2026.06 | 1,596 | 0.611 | 13.5 | 5.4 | 1.66 | 7.8 | 2,058.44 | 9.1 | |
| PrepLightGBMOptimization protocol=Tuned + Ensembled2026.06 | 1,578 | 0.524 | 14.4 | 5.9 | 2.33 | 8.4 | 2,407.89 | 10.49 | |
| PrepTabMOptimization protocol=Tuned + Ensembled2026.06 | 1,574 | 0.529 | 14.6 | 7.3 | 0.99 | 9.2 | 6,356.41 | 15.14 | |
| RealTabPFN-2.5Optimization protocol=Tuned2026.06 | 1,552 | 0.546 | 15.8 | 6.8 | 1.833 | 8.3 | 2,058.44 | 1.12 | |
| RealTabPFN-2.5Optimization protocol=Default2026.06 | 1,521 | 0.509 | 17.5 | 9.2 | 0.66 | 9.2 | 5.68 | 0.6 | |
| RealMLPOptimization protocol=Tuned + Ensembled2026.06 | 1,509 | 0.431 | 18.2 | 11.4 | 0.66 | 10.8 | 2,958.86 | 11.4 | |
| PrepLightGBMOptimization protocol=Tuned2026.06 | 1,479 | 0.381 | 20.1 | 8.2 | 1.333 | 9.5 | 2,407.89 | 1 | |
| TabDPTOptimization protocol=Tuned + Ensembled2026.06 | 1,467 | 0.417 | 20.9 | 6.5 | 2.66 | 11.1 | 5,467.2 | 316.26 | |
| PrepTabMOptimization protocol=Tuned2026.06 | 1,463 | 0.388 | 21.1 | 11.5 | 0.333 | 10.5 | 6,356.41 | 1.13 | |
| RealMLPOptimization protocol=Tuned2026.06 | 1,427 | 0.316 | 23.5 | 13.2 | 0 | 12 | 2,958.86 | 0.52 | |
| TabMOptimization protocol=Tuned + Ensembled2026.06 | 1,425 | 0.302 | 23.6 | 14.3 | 0.333 | 12.6 | 3,145.55 | 1.44 | |
| TabDPTOptimization protocol=Tuned2026.06 | 1,419 | 0.365 | 24 | 8.5 | 1 | 12.5 | 5,467.2 | 39.74 | |
| LightGBMOptimization protocol=Tuned + Ensembled2026.06 | 1,417 | 0.231 | 24.2 | 18.6 | 0 | 13.5 | 413.11 | 2.38 | |
| CatBoostOptimization protocol=Tuned + Ensembled2026.06 | 1,401 | 0.24 | 25.3 | 17.2 | 0.333 | 13.1 | 1,659.69 | 0.65 | |
| ModernNCAOptimization protocol=Tuned + Ensembled2026.06 | 1,393 | 0.292 | 25.8 | 13.5 | 0.66 | 13.4 | 4,538.96 | 8.29 | |
| CatBoostOptimization protocol=Tuned2026.06 | 1,389 | 0.221 | 26.1 | 17.5 | 0.333 | 13.3 | 1,659.69 | 0.07 | |
| PrepLightGBMOptimization protocol=Default2026.06 | 1,375 | 0.28 | 27.1 | 11.3 | 1 | 12.4 | 20.61 | 1.13 | |
| LightGBMOptimization protocol=Tuned2026.06 | 1,372 | 0.169 | 27.3 | 20.8 | 0 | 14.1 | 413.11 | 0.44 | |
| TabMOptimization protocol=Tuned2026.06 | 1,371 | 0.249 | 27.3 | 18.4 | 0 | 13.4 | 3,145.55 | 0.15 | |
| PrepTabMOptimization protocol=Default2026.06 | 1,363 | 0.264 | 27.9 | 14.4 | 0.66 | 13.7 | 101.94 | 4.23 | |
| XGBoostOptimization protocol=Tuned + Ensembled2026.06 | 1,360 | 0.171 | 28.1 | 21 | 0 | 14.2 | 687.26 | 1.43 | |
| CatBoostOptimization protocol=Default2026.06 | 1,360 | 0.188 | 28.1 | 17.3 | 0.333 | 13.9 | 6.41 | 0.1 | |
| XGBoostOptimization protocol=Tuned2026.06 | 1,341 | 0.134 | 29.4 | 25.2 | 0 | 14.5 | 687.26 | 0.32 | |
| xRFMOptimization protocol=Tuned + Ensembled2026.06 | 1,341 | 0.201 | 29.4 | 19 | 0.333 | 14.6 | 847.29 | 2.12 | |
| ModernNCAOptimization protocol=Tuned2026.06 | 1,337 | 0.163 | 29.7 | 16 | 0.66 | 14.1 | 4,538.96 | 0.44 | |
| TabDPTOptimization protocol=Default2026.06 | 1,317 | 0.267 | 31.1 | 10.3 | 1 | 15.1 | 48.57 | 39.36 | |
| xRFMOptimization protocol=Tuned2026.06 | 1,317 | 0.169 | 31.2 | 19.3 | 0.333 | 15.4 | 847.29 | 0.11 | |
| PrepLinearOptimization protocol=Tuned + Ensembled2026.06 | 1,285 | 0.218 | 33.4 | 14.6 | 0.66 | 17.7 | 853.05 | 22.15 | |
| TabMOptimization protocol=Default2026.06 | 1,282 | 0.147 | 33.6 | 21 | 0.333 | 15.5 | 11.16 | 0.13 | |
| TorchMLPOptimization protocol=Tuned + Ensembled2026.06 | 1,282 | 0.127 | 33.6 | 24.1 | 0 | 15.3 | 2,867.82 | 1.86 | |
| SAP-RPT-OSSOptimization protocol=Default2026.06 | 1,282 | 0.201 | 33.6 | 12.9 | 1.333 | 16.7 | 14.34 | 2.08 | |
| EBMOptimization protocol=Tuned + Ensembled2026.06 | 1,260 | 0.086 | 35.2 | 25.8 | 0 | 17.3 | 3,002.79 | 0.42 | |
| ModernNCAOptimization protocol=Default2026.06 | 1,248 | 0.094 | 36 | 19.3 | 0.66 | 17.5 | 14.75 | 0.31 | |
| RealMLPOptimization protocol=Default2026.06 | 1,245 | 0.091 | 36.2 | 26.1 | 0 | 16.5 | 10.69 | 1.78 | |
| EBMOptimization protocol=Tuned2026.06 | 1,217 | 0.06 | 38.1 | 25.7 | 0.333 | 18 | 3,002.79 | 0.06 | |
| XGBoostOptimization protocol=Default2026.06 | 1,213 | 0.06 | 38.4 | 21.2 | 0.66 | 17.2 | 1.99 | 0.15 | |
| TorchMLPOptimization protocol=Tuned2026.06 | 1,204 | 0.062 | 39 | 31.5 | 0 | 17.1 | 2,867.82 | 0.12 | |
| PrepLinearOptimization protocol=Tuned2026.06 | 1,201 | 0.132 | 39.2 | 25.3 | 0 | 20.2 | 853.05 | 1.88 | |
| EBMOptimization protocol=Default2026.06 | 1,189 | 0.057 | 40 | 27.2 | — | 19 | 7.35 | 0.05 | |
| LightGBMOptimization protocol=Default2026.06 | 1,174 | 0.036 | 41 | 36.2 | 0 | 17.8 | 2.21 | 0.17 | |
| RandomForestOptimization protocol=Tuned + Ensembled2026.06 | 1,158 | 0.051 | 42 | 30.4 | 0 | 19.6 | 377.13 | 0.76 | |
| RandomForestOptimization protocol=Tuned2026.06 | 1,121 | 0.026 | 44.3 | 31.6 | 0.166 | 20.4 | 377.13 | 0.08 | |
| PrepLinearOptimization protocol=Default2026.06 | 1,105 | 0.067 | 45.3 | 24.5 | 0.333 | 23.4 | 4.59 | 1.7 | |
| TorchMLPOptimization protocol=Default2026.06 | 1,063 | 0.015 | 47.7 | 44.3 | 0 | 21.4 | 10.93 | 0.13 | |
| xRFMOptimization protocol=Default2026.06 | 1,048 | 0.03 | 48.5 | 39 | 0 | 24.7 | 3.21 | 0.69 | |
| RandomForestOptimization protocol=Default2026.06 | 1,000 | 0 | 50.9 | 44.6 | 0 | 24.7 | 0.45 | 0.05 | |
| LinearOptimization protocol=Tuned + Ensembled2026.06 | 937 | 0.024 | 53.7 | 30.8 | 0.66 | 32.8 | 237.45 | 0.43 | |
| LinearOptimization protocol=Tuned2026.06 | 914 | 0.02 | 54.6 | 38.1 | 0 | 33.4 | 237.45 | 0.07 | |
| LinearOptimization protocol=Default2026.06 | 831 | 0.002 | 57.4 | 53.7 | 0 | 35.9 | 1.19 | 0.12 |