Binary Classification on TabArena
1,782Elo RatingTabPFN-3
Evaluation results
| Method | Links | |||||||
|---|---|---|---|---|---|---|---|---|
| TabPFN-3Mode=Thinking, Train time per 1K [s]=35.70, Predict time per 1K [s]=3.002026.05 | 1,782 | — | — | — | 10 | 6 | — | |
| AutoGluon 1.5Configuration=extreme, 4h, Train time per 1K [s]=267.31, Predict time per 1K [s]=3.982026.05 | 1,689 | — | — | — | 4.8 | 6.5 | — | |
| TabPFN-3Mode=D, Train time per 1K [s]=2.43, Predict time per 1K [s]=0.752026.05 | 1,660 | — | — | — | 3.7 | 8.7 | — | |
| TabPFN-2.6Mode=D, Train time per 1K [s]=5.17, Predict time per 1K [s]=0.542026.05 | 1,604 | — | — | — | 0.5 | 10.6 | — | |
| TabICLv2Mode=D, Train time per 1K [s]=4.15, Predict time per 1K [s]=0.412026.05 | 1,593 | — | — | — | 4.1 | 9.3 | — | |
| RealTabPFN-2.5Mode=T+E, Train time per 1K [s]=2046.25, Predict time per 1K [s]=8.982026.05 | 1,578 | — | — | — | 1.7 | 10.2 | — | |
| RealTabPFN-2.5Mode=T, Train time per 1K [s]=2046.25, Predict time per 1K [s]=1.332026.05 | 1,554 | — | — | — | 1.2 | 11 | — | |
| RealTabPFN-2.5Mode=D, Train time per 1K [s]=5.76, Predict time per 1K [s]=0.792026.05 | 1,539 | — | — | — | 0.9 | 11.2 | — | |
| AutoGluon 1.3Time budget=4h, Train time per 1K [s]=1102.06, Predict time per 1K [s]=1.742025.08 | 1,501 | 57.6 | 9.3 | 3.5 | 4 | 6.7 | — | |
| RealMLPMode=T+E, Train time per 1K [s]=2879.46, Predict time per 1K [s]=12.492026.05 | 1,492 | — | — | — | 0.3 | 13.5 | — | |
| TabMMode=T+E, Train time per 1K [s]=2466.21, Predict time per 1K [s]=1.502026.05 | 1,464 | — | — | — | 1 | 14.8 | — | |
| RealMLPModel variant=T+E, Train time per 1K [s]=6177.16, Predict time per 1K [s]=8.662025.08 | 1,461 | 51.6 | 11 | 5.1 | 2 | 8.3 | — | |
| LightGBMMode=T+E, Train time per 1K [s]=382.05, Predict time per 1K [s]=1.492026.05 | 1,436 | — | — | — | 0.1 | 15.7 | — | |
| TabMModel variant=T+E, Train time per 1K [s]=2180.12, Predict time per 1K [s]=1.132025.08 | 1,416 | 45.7 | 13 | 5.5 | 2 | 9.1 | — | |
| RealMLPMode=T, Train time per 1K [s]=2879.46, Predict time per 1K [s]=0.602026.05 | 1,413 | — | — | — | 0.4 | 15 | — | |
| CatBoostMode=T+E, Train time per 1K [s]=1372.94, Predict time per 1K [s]=0.562026.05 | 1,412 | — | — | — | 0.1 | 15.2 | — | |
| TabMMode=T, Train time per 1K [s]=2466.21, Predict time per 1K [s]=0.182026.05 | 1,411 | — | — | — | 0.3 | 15.6 | — | |
| TabDPTMode=T+E, Train time per 1K [s]=4940.61, Predict time per 1K [s]=307.752026.05 | 1,411 | — | — | — | 0.5 | 14.5 | — | |
| CatBoostMode=T, Train time per 1K [s]=1372.94, Predict time per 1K [s]=0.072026.05 | 1,404 | — | — | — | 0.4 | 15.4 | — | |
| LightGBMModel variant=T+E, Train time per 1K [s]=328.64, Predict time per 1K [s]=0.772025.08 | 1,398 | 36.2 | 13.8 | 9.7 | 0 | 11.1 | — | |
| TabICLModel variant=D, Train time per 1K [s]=8.05, Predict time per 1K [s]=2.012025.08 | 1,393 | 42.7 | 14 | 5 | 3 | 8 | — | |
| LightGBMMode=T, Train time per 1K [s]=382.05, Predict time per 1K [s]=0.252026.05 | 1,392 | — | — | — | 0 | 16.4 | — | |
| XGBoostMode=T+E, Train time per 1K [s]=685.87, Predict time per 1K [s]=1.452026.05 | 1,382 | — | — | — | 0.1 | 16.5 | — | |
| CatBoostMode=D, Train time per 1K [s]=5.72, Predict time per 1K [s]=0.082026.05 | 1,381 | — | — | — | 0.2 | 16 | — | |
| CatBoostModel variant=D, Train time per 1K [s]=3.84, Predict time per 1K [s]=0.072025.08 | 1,380 | 36.5 | 14.8 | 7.9 | 1 | 10.6 | — | |
| XGBoostModel variant=T+E, Train time per 1K [s]=462.92, Predict time per 1K [s]=0.612025.08 | 1,372 | 35.8 | 15.1 | 6.7 | 1 | 11.7 | — | |
| CatBoostModel variant=T+E, Train time per 1K [s]=1043.89, Predict time per 1K [s]=0.482025.08 | 1,364 | 37.5 | 15.4 | 8.7 | 0 | 10.8 | — | |
| ModernNCAModel variant=T, Train time per 1K [s]=3436.74, Predict time per 1K [s]=0.412025.08 | 1,361 | 39.7 | 15.7 | 6.4 | 2 | 10.2 | — | |
| XGBoostMode=T, Train time per 1K [s]=685.87, Predict time per 1K [s]=0.212026.05 | 1,356 | — | — | — | 0 | 16.8 | — | |
| TabDPTMode=T, Train time per 1K [s]=4940.61, Predict time per 1K [s]=41.612026.05 | 1,351 | — | — | — | 0.6 | 16 | — | |
| ModernNCAModel variant=T+E, Train time per 1K [s]=3436.74, Predict time per 1K [s]=8.482025.08 | 1,347 | 41.4 | 16.3 | 5.6 | 2 | 10.4 | — | |
| CatBoostModel variant=T, Train time per 1K [s]=1043.89, Predict time per 1K [s]=0.042025.08 | 1,347 | 33.1 | 16.6 | 9.9 | 0 | 11.3 | — | |
| TabMModel variant=T, Train time per 1K [s]=2180.12, Predict time per 1K [s]=0.122025.08 | 1,345 | 38.2 | 16.6 | 7.7 | 0 | 10.3 | — | |
| XGBoostModel variant=T, Train time per 1K [s]=462.92, Predict time per 1K [s]=0.112025.08 | 1,328 | 30.5 | 17.2 | 7.6 | 1 | 12.1 | — | |
| LightGBMModel variant=T, Train time per 1K [s]=328.64, Predict time per 1K [s]=0.092025.08 | 1,328 | 28.8 | 17.4 | 13.1 | 0 | 12.3 | — | |
| TabMMode=D, Train time per 1K [s]=10.21, Predict time per 1K [s]=0.142026.05 | 1,315 | — | — | — | 0.2 | 18 | — | |
| TabPFNv2Model variant=T+E, Train time per 1K [s]=2914.83, Predict time per 1K [s]=17.912025.08 | 1,313 | 39.9 | 18.2 | 3.9 | 5 | 11.8 | — | |
| xRFMModel variant=T+E, Train time per 1K [s]=247.54, Predict time per 1K [s]=0.822025.08 | 1,310 | 28.3 | 18.4 | 12.3 | 0 | 12 | — | |
| EBMModel variant=T+E, Train time per 1K [s]=852.29, Predict time per 1K [s]=0.212025.08 | 1,296 | 25 | 19.1 | 10.1 | 0 | 14 | — | |
| TabMModel variant=D, Train time per 1K [s]=8.00, Predict time per 1K [s]=0.122025.08 | 1,282 | 27.4 | 19.7 | 11.7 | 0 | 13.4 | — | |
| TabDPTMode=D, Train time per 1K [s]=49.21, Predict time per 1K [s]=43.822026.05 | 1,270 | — | — | — | 0.3 | 18.9 | — | |
| TorchMLPModel variant=T+E, Train time per 1K [s]=2206.58, Predict time per 1K [s]=2.302025.08 | 1,265 | 21.9 | 20.6 | 13.1 | 0 | 12.3 | — | |
| TabPFNv2Model variant=T, Train time per 1K [s]=2914.83, Predict time per 1K [s]=0.222025.08 | 1,264 | 29.6 | 20.9 | 6.5 | 1 | 13.8 | — | |
| EBMModel variant=T, Train time per 1K [s]=852.29, Predict time per 1K [s]=0.022025.08 | 1,254 | 18.7 | 21.3 | 12.4 | 0 | 14.7 | — | |
| xRFMModel variant=T, Train time per 1K [s]=247.54, Predict time per 1K [s]=0.052025.08 | 1,251 | 20.9 | 21.4 | 12.7 | 0 | 13.7 | — | |
| RealMLPModel variant=T, Train time per 1K [s]=6177.16, Predict time per 1K [s]=0.262025.08 | 1,248 | 21.5 | 21.8 | 14.1 | 0 | 13.4 | — | |
| RealMLPModel variant=D, Train time per 1K [s]=18.75, Predict time per 1K [s]=0.992025.08 | 1,247 | 17.7 | 21.8 | 14.4 | 0 | 13.3 | — | |
| RealMLPMode=D, Train time per 1K [s]=10.47, Predict time per 1K [s]=1.712026.05 | 1,244 | — | — | — | 0.1 | 19.6 | — | |
| EBMModel variant=D, Train time per 1K [s]=4.40, Predict time per 1K [s]=0.032025.08 | 1,238 | 19.1 | 22.3 | 10.3 | 1 | 15.2 | — | |
| XGBoostMode=D, Train time per 1K [s]=1.77, Predict time per 1K [s]=0.122026.05 | 1,231 | — | — | — | 0 | 19.6 | — | |
| TabPFNv2Model variant=D, Train time per 1K [s]=2.61, Predict time per 1K [s]=0.262025.08 | 1,209 | 24.1 | 23.9 | 7 | 2 | 15.7 | — | |
| FastaiMLPModel variant=T+E, Train time per 1K [s]=561.29, Predict time per 1K [s]=4.462025.08 | 1,206 | 17 | 24.1 | 15.6 | 0 | 15.8 | — | |
| XGBoostModel variant=D, Train time per 1K [s]=1.42, Predict time per 1K [s]=0.122025.08 | 1,198 | 16.8 | 24.5 | 11.6 | 1 | 15 | — | |
| LightGBMMode=D, Train time per 1K [s]=1.79, Predict time per 1K [s]=0.122026.05 | 1,192 | — | — | — | 0 | 20.6 | — | |
| ModernNCAModel variant=D, Train time per 1K [s]=11.15, Predict time per 1K [s]=0.312025.08 | 1,185 | 15.7 | 25.2 | 11.2 | 1 | 15.8 | — | |
| TorchMLPModel variant=T, Train time per 1K [s]=2206.58, Predict time per 1K [s]=0.112025.08 | 1,174 | 15.6 | 25.7 | 19.3 | 0 | 14.8 | — | |
| ExtraTreesModel variant=T+E, Train time per 1K [s]=122.90, Predict time per 1K [s]=0.582025.08 | 1,168 | 11.5 | 26.2 | 19.6 | 0 | 17.3 | — | |
| LightGBMModel variant=D, Train time per 1K [s]=0.93, Predict time per 1K [s]=0.092025.08 | 1,134 | 10.3 | 28.1 | 23.7 | 0 | 16.1 | — | |
| RandomForestModel variant=T+E, Train time per 1K [s]=171.61, Predict time per 1K [s]=0.552025.08 | 1,132 | 7.8 | 28.1 | 21.9 | 0 | 18.4 | — | |
| FastaiMLPModel variant=T, Train time per 1K [s]=561.29, Predict time per 1K [s]=0.242025.08 | 1,129 | 12.4 | 28.2 | 17.7 | 0 | 18 | — | |
| TabDPTModel variant=D, Train time per 1K [s]=17.79, Predict time per 1K [s]=8.532025.08 | 1,123 | 15.2 | 28.7 | 13.2 | 0 | 17.2 | — | |
| ExtraTreesModel variant=T, Train time per 1K [s]=122.90, Predict time per 1K [s]=0.072025.08 | 1,122 | 10.6 | 28.7 | 16.6 | 0 | 18.9 | — | |
| RandomForestModel variant=T, Train time per 1K [s]=171.61, Predict time per 1K [s]=0.052025.08 | 1,098 | 2.9 | 29.9 | 27.1 | 0 | 19.1 | — | |
| TorchMLPModel variant=D, Train time per 1K [s]=4.97, Predict time per 1K [s]=0.092025.08 | 1,030 | 5.2 | 33.2 | 28.2 | 0 | 20.5 | — | |
| RandomForestModel variant=D, Train time per 1K [s]=0.29, Predict time per 1K [s]=0.032025.08 | 1,000 | 3.2 | 34.5 | 26.6 | 0 | 23.4 | — | |
| FastaiMLPModel variant=D, Train time per 1K [s]=2.79, Predict time per 1K [s]=0.262025.08 | 998 | 5.5 | 34.6 | 30.2 | 0 | 21.1 | — | |
| LinearModel variant=T+E, Train time per 1K [s]=40.63, Predict time per 1K [s]=0.132025.08 | 960 | 3.7 | 36.3 | 16.6 | 1 | 28 | — | |
| xRFMModel variant=D, Train time per 1K [s]=1.07, Predict time per 1K [s]=0.052025.08 | 943 | 5.3 | 36.8 | 30.1 | 0 | 24.9 | — | |
| ExtraTreesModel variant=D, Train time per 1K [s]=0.18, Predict time per 1K [s]=0.032025.08 | 926 | 2.3 | 37.6 | 33.3 | 0 | 25.4 | — | |
| LinearModel variant=T, Train time per 1K [s]=40.63, Predict time per 1K [s]=0.052025.08 | 923 | 2.5 | 37.6 | 27.1 | 0 | 29 | — | |
| LinearModel variant=D, Train time per 1K [s]=0.95, Predict time per 1K [s]=0.082025.08 | 899 | 1.7 | 38.5 | 35.3 | 0 | 29.8 | — | |
| KNNModel variant=T+E, Train time per 1K [s]=2.75, Predict time per 1K [s]=0.152025.08 | 722 | 1.6 | 43.2 | 36.3 | 0 | 47.7 | — | |
| KNNModel variant=T, Train time per 1K [s]=2.75, Predict time per 1K [s]=0.032025.08 | 691 | 2 | 43.8 | 30.5 | 0 | 48.8 | — | |
| KNNModel variant=D, Train time per 1K [s]=0.05, Predict time per 1K [s]=0.022025.08 | 421 | 0 | 47 | 46.5 | 0 | 56.4 | — | |
| AutoGluon2026.06 | — | — | — | — | — | — | 7.02 | |
| AutoInt2026.06 | — | — | — | — | — | — | 20.31 | |
| CatBoost2026.06 | — | — | — | — | — | — | 9.44 | |
| DANets2026.06 | — | — | — | — | — | — | 22.43 | |
| DCN-v22026.06 | — | — | — | — | — | — | 20.28 | |
| ET2026.06 | — | — | — | — | — | — | 13.2 | |
| ExcelFormer2026.06 | — | — | — | — | — | — | 16.15 | |
| FT-Transformer2026.06 | — | — | — | — | — | — | 20.86 | |
| GrowNet2026.06 | — | — | — | — | — | — | 26.85 | |
| LightGBM2026.06 | — | — | — | — | — | — | 9.06 | |
| LimiX-16MNumber of Parameters=16.52M2026.06 | — | — | — | — | — | — | 4.78 | |
| LimiX-2MNumber of Parameters=1.92M2026.06 | — | — | — | — | — | — | 5.1 | |
| MitraNumber of Parameters=75.67M2026.06 | — | — | — | — | — | — | 12.95 | |
| MLP2026.06 | — | — | — | — | — | — | 19.21 | |
| MLP-PLR2026.06 | — | — | — | — | — | — | 19.82 | |
| ModernNCA2026.06 | — | — | — | — | — | — | 19.77 | |
| NODE2026.06 | — | — | — | — | — | — | 22.7 | |
| RealMLP2026.06 | — | — | — | — | — | — | 20.16 | |
| ResNet2026.06 | — | — | — | — | — | — | 20.12 | |
| RF2026.06 | — | — | — | — | — | — | 10.43 | |
| SAINT2026.06 | — | — | — | — | — | — | 24.45 | |
| SNN2026.06 | — | — | — | — | — | — | 22.78 | |
| SwitchTab2026.06 | — | — | — | — | — | — | 24.13 | |
| T2G-Former2026.06 | — | — | — | — | — | — | 18.85 | |
| TabCaps2026.06 | — | — | — | — | — | — | 20.67 | |
| TabICLNumber of Parameters=27.10M2026.06 | — | — | — | — | — | — | 8.27 |