Regression on Tabarena REG
3.46Average RankLimiX-16M
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| LimiX-16MNumber of Parameters=16.52M2026.06 | 3.46 | — | — | |
| AutoGluon2026.06 | 3.46 | — | — | |
| LimiX-2MNumber of Parameters=1.92M2026.06 | 4.54 | — | — | |
| TabPFN-v2Number of Parameters=7.24M2026.06 | 5.92 | — | — | |
| TabM2026.06 | 6.69 | — | — | |
| CatBoost2026.06 | 7.31 | — | — | |
| XGBoost2026.06 | 7.46 | — | — | |
| LightGBM2026.06 | 8 | — | — | |
| RealMLP2026.06 | 8 | — | — | |
| RF2026.06 | 11 | — | — | |
| ET2026.06 | 11.35 | — | — | |
| TabR2026.06 | 15.23 | — | — | |
| ExcelFormer2026.06 | 15.38 | — | — | |
| NODE2026.06 | 15.69 | — | — | |
| TANGOS2026.06 | 16.54 | — | — | |
| DCN-v22026.06 | 16.73 | — | — | |
| MitraNumber of Parameters=75.67M2026.06 | 17.69 | — | — | |
| ModernNCA2026.06 | 18.46 | — | — | |
| MLP-PLR2026.06 | 18.54 | — | — | |
| AutoInt2026.06 | 19.15 | — | — | |
| MLP2026.06 | 19.61 | — | — | |
| ResNet2026.06 | 19.77 | — | — | |
| SAINT2026.06 | 20.25 | — | — | |
| T2G-Former2026.06 | 20.54 | — | — | |
| TabNet2026.06 | 20.77 | — | — | |
| FT-Transformer2026.06 | 23.08 | — | — | |
| DNNR2026.06 | 25.61 | — | — | |
| SNN2026.06 | 26.69 | — | — | |
| GrowNet2026.06 | 28.39 | — | — | |
| TabTransformer2026.06 | 30.33 | — | — | |
| DANets2026.06 | 30.46 | — | — | |
| SwitchTab2026.06 | 30.92 | — | — | |
| AutoGluon v1.52026.03 | — | 0.4099 | 79.85 | |
| CatBoost2026.03 | — | 0.4234 | 78.54 | |
| FEAT2026.03 | — | 0.4023 | 79.24 | |
| LightGBM2026.03 | — | 0.448 | 76.43 | |
| LimiX2026.03 | — | 0.4189 | 78.71 | |
| TabICL v22026.03 | — | 0.3919 | 81.06 | |
| TablePFN v2.52026.03 | — | 0.3938 | 80.9 | |
| TablePFN v2.5Variant=Real2026.03 | — | 0.3937 | 80.92 | |
| XGBoost2026.03 | — | 0.4539 | 75.27 |