Regression on PFN REG
5.65Average RankLimiX-16M
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| LimiX-16MNumber of Parameters=16.52M2026.06 | 5.65 | — | — | |
| LimiX-2MNumber of Parameters=1.92M2026.06 | 5.89 | — | — | |
| RealMLP2026.06 | 7.46 | — | — | |
| AutoGluon2026.06 | 7.59 | — | — | |
| TabM2026.06 | 7.61 | — | — | |
| TabPFN-v2Number of Parameters=7.24M2026.06 | 8.5 | — | — | |
| XGBoost2026.06 | 10.48 | — | — | |
| LightGBM2026.06 | 11.07 | — | — | |
| CatBoost2026.06 | 12.48 | — | — | |
| ET2026.06 | 12.59 | — | — | |
| MitraNumber of Parameters=75.67M2026.06 | 14.37 | — | — | |
| RF2026.06 | 14.93 | — | — | |
| T2G-Former2026.06 | 14.98 | — | — | |
| ExcelFormer2026.06 | 15.43 | — | — | |
| FT-Transformer2026.06 | 15.69 | — | — | |
| MLP2026.06 | 16 | — | — | |
| TabR2026.06 | 16.07 | — | — | |
| MLP-PLR2026.06 | 16.11 | — | — | |
| ModernNCA2026.06 | 16.31 | — | — | |
| DCN-v22026.06 | 16.35 | — | — | |
| ResNet2026.06 | 16.5 | — | — | |
| TANGOS2026.06 | 17 | — | — | |
| SAINT2026.06 | 17.72 | — | — | |
| AutoInt2026.06 | 20.13 | — | — | |
| NODE2026.06 | 21.65 | — | — | |
| TabNet2026.06 | 22.93 | — | — | |
| DNNR2026.06 | 24.3 | — | — | |
| SNN2026.06 | 26.2 | — | — | |
| GrowNet2026.06 | 27.54 | — | — | |
| DANets2026.06 | 28.83 | — | — | |
| SwitchTab2026.06 | 29.28 | — | — | |
| TabTransformer2026.06 | 30.35 | — | — | |
| AutoGluon v1.52026.03 | — | 0.5477 | 59.99 | |
| CatBoost2026.03 | — | 0.5732 | 49.65 | |
| FEAT2026.03 | — | 0.5257 | 62.46 | |
| LightGBM2026.03 | — | 0.5785 | 48.69 | |
| LimiX2026.03 | — | 0.5385 | 61.69 | |
| TabICL v22026.03 | — | 0.5277 | 62.13 | |
| TablePFN v2.52026.03 | — | 0.5296 | 62.14 | |
| TablePFN v2.5Variant=Real2026.03 | — | 0.5264 | 62.59 | |
| XGBoost2026.03 | — | 0.5904 | 54.71 |