Classification on CO
0.976AccuracyTabR
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| TabRInterpretability=Blackbox, Training Protocol=One split2025.12 | 0.976 | — | — | — | |
| OpenFE2026.04 | 0.974 | — | 1,979.32 | — | |
| TabMInterpretability=Blackbox, Training Protocol=One split2025.12 | 0.973 | — | — | — | |
| FCTree2026.04 | 0.971 | — | 2,449 | — | |
| LassoNetpercent_extra_features=50%, downstream_model=FT-Transformer2023.11 | 0.97 | — | — | — | |
| XGBoostpercent_extra_features=50%, downstream_model=FT-Transformer2023.11 | 0.97 | — | — | — | |
| UnivariateExtra Features (%)=50%, Downstream Model=MLP2023.11 | 0.97 | 2.66 | — | — | |
| FT-TransformerInterpretability=Blackbox, Training Protocol=One split2025.12 | 0.97 | — | — | — | |
| LassoNetpercent_extra_features=50%, downstream_model=MLP2023.11 | 0.969 | — | — | — | |
| XGBoostpercent_extra_features=50%, downstream_model=MLP2023.11 | 0.969 | — | — | — | |
| LassoNetpercent_extra_features=75%, downstream_model=MLP2023.11 | 0.969 | — | — | — | |
| 1L Lassopercent_extra_features=50%, downstream_model=FT-Transformer2023.11 | 0.969 | — | — | — | |
| AGLpercent_extra_features=50%, downstream_model=FT-Transformer2023.11 | 0.969 | — | — | — | |
| AMpercent_extra_features=50%, downstream_model=FT-Transformer2023.11 | 0.969 | — | — | — | |
| RFpercent_extra_features=50%, downstream_model=FT-Transformer2023.11 | 0.969 | — | — | — | |
| Deep LassoExtra Features (%)=75%, Downstream Model=MLP2023.11 | 0.969 | 2.33 | — | — | |
| Deep LassoExtra Features (%)=50%, Downstream Model=FT-Transformer2023.11 | 0.969 | 3.66 | — | — | |
| Lassopercent_extra_features=50%, downstream_model=MLP2023.11 | 0.968 | — | — | — | |
| 1L Lassopercent_extra_features=50%, downstream_model=MLP2023.11 | 0.968 | — | — | — | |
| AGLpercent_extra_features=50%, downstream_model=MLP2023.11 | 0.968 | — | — | — | |
| Deep Lassopercent_extra_features=50%, downstream_model=MLP2023.11 | 0.968 | — | — | — | |
| XGBoostpercent_extra_features=75%, downstream_model=MLP2023.11 | 0.968 | — | — | — | |
| Deep Lassopercent_extra_features=75%, downstream_model=MLP2023.11 | 0.968 | — | — | — | |
| Deep Lassopercent_extra_features=50%, downstream_model=FT-Transformer2023.11 | 0.968 | — | — | — | |
| Deep LassoExtra Features (%)=50%, Downstream Model=MLP2023.11 | 0.968 | 2.33 | — | — | |
| XNNTabInterpretability=Fully interpretable, Training Protocol=5-fold-cross-validation2025.12 | 0.968 | — | — | — | |
| Base2026.04 | 0.968 | — | — | — | |
| AMpercent_extra_features=50%, downstream_model=MLP2023.11 | 0.967 | — | — | — | |
| RFpercent_extra_features=50%, downstream_model=MLP2023.11 | 0.967 | — | — | — | |
| 1L Lassopercent_extra_features=75%, downstream_model=MLP2023.11 | 0.967 | — | — | — | |
| AGLpercent_extra_features=75%, downstream_model=MLP2023.11 | 0.967 | — | — | — | |
| No FSpercent_extra_features=50%, downstream_model=FT-Transformer2023.11 | 0.967 | — | — | — | |
| Univariatepercent_extra_features=50%, downstream_model=MLP2023.11 | 0.966 | — | — | — | |
| SCOPE-FE2026.04 | 0.966 | — | 833.36 | 57.9 | |
| No FSpercent_extra_features=50%, downstream_model=MLP2023.11 | 0.965 | — | — | — | |
| Univariatepercent_extra_features=50%, downstream_model=FT-Transformer2023.11 | 0.965 | — | — | — | |
| Lassopercent_extra_features=75%, downstream_model=MLP2023.11 | 0.963 | — | — | — | |
| RFpercent_extra_features=75%, downstream_model=MLP2023.11 | 0.963 | — | — | — | |
| No FSExtra Features (%)=50%, Downstream Model=MLP2023.11 | 0.961 | 8.08 | — | — | |
| TabNetInterpretability=Partially interpretable, Training Protocol=One split2025.12 | 0.957 | — | — | — | |
| No FSpercent_extra_features=75%, downstream_model=MLP2023.11 | 0.956 | — | — | — | |
| Univariatepercent_extra_features=75%, downstream_model=MLP2023.11 | 0.941 | — | — | — | |
| Lassopercent_extra_features=50%, downstream_model=FT-Transformer2023.11 | 0.936 | — | — | — |