Classification on GE
66.5AccuracyXNNTab
Evaluation results
| Method | Links | ||
|---|---|---|---|
| XNNTabInterpretability=Fully interpretable, Training Protocol=5-fold-cross-validation2025.12 | 66.5 | — | |
| T2G-FORMERInterpretability=Blackbox, Training Protocol=One split2025.12 | 65.5 | — | |
| RFFeature type=second-order features2025.03 | 61.9 | 5.6 | |
| ProtoGateFeature type=second-order features2025.03 | 61.5 | 11.4 | |
| FT-TransformerInterpretability=Blackbox, Training Protocol=One split2025.12 | 61.3 | — | |
| LassoNetFeature type=second-order features2025.03 | 61.1 | 7.9 | |
| STGFeature type=second-order features2025.03 | 60.9 | 8.7 | |
| LSpinFeature type=second-order features2025.03 | 60.8 | 8.1 | |
| No FSFeature type=second-order features2025.03 | 60.5 | 8.1 | |
| AMFeature type=second-order features2025.03 | 60.4 | 6.1 | |
| XGBoostFeature type=second-order features2025.03 | 60.4 | 7.4 | |
| RFpercent_extra_features=50%, downstream_model=FT-Transformer2023.11 | 60 | — | |
| TabNetInterpretability=Partially interpretable, Training Protocol=One split2025.12 | 60 | — | |
| Deep LassoFeature type=second-order features2025.03 | 60 | 5 | |
| AutoNFSFeature type=second-order features2025.03 | 60 | 4.4 | |
| RFFeature type=Random features2025.03 | 59.4 | — | |
| AGLFeature type=second-order features2025.03 | 59.4 | 6.3 | |
| AGLpercent_extra_features=50%, downstream_model=FT-Transformer2023.11 | 59.1 | — | |
| LassoFeature type=second-order features2025.03 | 59 | 8.8 | |
| UnivariateFeature type=second-order features2025.03 | 58.2 | 10 | |
| LassoNetpercent_extra_features=50%, downstream_model=FT-Transformer2023.11 | 57.8 | — | |
| Deep Lassopercent_extra_features=50%, downstream_model=FT-Transformer2023.11 | 57.7 | — | |
| No FSpercent_extra_features=50%, downstream_model=FT-Transformer2023.11 | 57.6 | — | |
| Univariatepercent_extra_features=50%, downstream_model=FT-Transformer2023.11 | 57.4 | — | |
| AMpercent_extra_features=50%, downstream_model=FT-Transformer2023.11 | 57.2 | — | |
| 1L Lassopercent_extra_features=50%, downstream_model=FT-Transformer2023.11 | 57.1 | — | |
| 1L LassoFeature type=second-order features2025.03 | 57.1 | 7.4 | |
| RFpercent_extra_features=50%, downstream_model=MLP2023.11 | 56.8 | — | |
| XGBoostpercent_extra_features=50%, downstream_model=FT-Transformer2023.11 | 56.4 | — | |
| LassoNetpercent_extra_features=50%, downstream_model=MLP2023.11 | 55.6 | — | |
| Lassopercent_extra_features=50%, downstream_model=FT-Transformer2023.11 | 55.6 | — | |
| LSpinFeature type=Random features2025.03 | 55 | — | |
| AutoNFSFeature type=Random features2025.03 | 55 | — | |
| NODEInterpretability=Blackbox, Training Protocol=One split2025.12 | 53.9 | — | |
| AGLpercent_extra_features=50%, downstream_model=MLP2023.11 | 53.8 | — | |
| LassoNetpercent_extra_features=75%, downstream_model=MLP2023.11 | 53.3 | — | |
| RFpercent_extra_features=75%, downstream_model=MLP2023.11 | 53.3 | — | |
| XGBoostpercent_extra_features=75%, downstream_model=MLP2023.11 | 53 | — | |
| AMpercent_extra_features=50%, downstream_model=MLP2023.11 | 52.7 | — | |
| No FSpercent_extra_features=50%, downstream_model=MLP2023.11 | 52.5 | — | |
| Deep Lassopercent_extra_features=50%, downstream_model=MLP2023.11 | 52.5 | — | |
| Deep Lassopercent_extra_features=75%, downstream_model=MLP2023.11 | 51.7 | — | |
| 1L Lassopercent_extra_features=50%, downstream_model=MLP2023.11 | 51.5 | — | |
| UnivariateFeature type=Random features2025.03 | 51.5 | — | |
| Univariatepercent_extra_features=50%, downstream_model=MLP2023.11 | 51.4 | — | |
| Lassopercent_extra_features=50%, downstream_model=MLP2023.11 | 51.2 | — | |
| XGBoostpercent_extra_features=50%, downstream_model=MLP2023.11 | 51 | — | |
| Deep LassoExtra Features (%)=50%, Downstream Model=FT-Transformer2023.11 | 50.4 | 3.66 | |
| No FSpercent_extra_features=75%, downstream_model=MLP2023.11 | 50.3 | — | |
| XGBoostFeature type=Random features2025.03 | 50.2 | — | |
| AMFeature type=Random features2025.03 | 49.8 | — | |
| Univariatepercent_extra_features=75%, downstream_model=MLP2023.11 | 49.5 | — | |
| 1L Lassopercent_extra_features=75%, downstream_model=MLP2023.11 | 49.5 | — | |
| LassoNetFeature type=Random features2025.03 | 49.5 | — | |
| Lassopercent_extra_features=75%, downstream_model=MLP2023.11 | 49 | — | |
| AGLpercent_extra_features=75%, downstream_model=MLP2023.11 | 49 | — | |
| Deep LassoExtra Features (%)=50%, Downstream Model=MLP2023.11 | 48.5 | 2.33 | |
| Deep LassoFeature type=Random features2025.03 | 48.5 | — | |
| Deep LassoExtra Features (%)=75%, Downstream Model=MLP2023.11 | 47.9 | 2.33 | |
| STGFeature type=Random features2025.03 | 47.8 | — | |
| 1L LassoFeature type=Random features2025.03 | 47.4 | — | |
| ProtoGateFeature type=Random features2025.03 | 47.4 | — | |
| AGLFeature type=Random features2025.03 | 47.3 | — | |
| No FSFeature type=Random features2025.03 | 46.6 | — | |
| LassoFeature type=Random features2025.03 | 45.8 | — |