Classification on JA 50% corrupted features (noise)
73.6AccuracyAGL + FT
Evaluation results
| Method | Links | |
|---|---|---|
| AGL + FTFeature Selection=AGL, Downstream Model=FT-Transformer2026.03 | 73.6 | |
| XGBoost + FTFeature Selection=XGBoost, Downstream Model=FT-Transformer2026.03 | 73.6 | |
| Deep Lasso + FTFeature Selection=Deep Lasso, Downstream Model=FT-Transformer2026.03 | 73.6 | |
| 1L Lasso + FTFeature Selection=1L Lasso, Downstream Model=FT-Transformer2026.03 | 73.5 | |
| AM + FTFeature Selection=AM, Downstream Model=FT-Transformer2026.03 | 73.5 | |
| RF + FTFeature Selection=RF, Downstream Model=FT-Transformer2026.03 | 73.5 | |
| LassoNet + FTFeature Selection=LassoNet, Downstream Model=FT-Transformer2026.03 | 73.4 | |
| No FS + FTFeature Selection=None, Downstream Model=FT-Transformer2026.03 | 73.3 | |
| Univariate + FTFeature Selection=Univariate, Downstream Model=FT-Transformer2026.03 | 73.2 | |
| Lasso + FTFeature Selection=Lasso, Downstream Model=FT-Transformer2026.03 | 73.1 | |
| LassoFlexNetFeature Selection=End-to-end2026.03 | 73.1 | |
| RF + MLPFeature Selection=RF, Downstream Model=MLP2026.03 | 72.4 | |
| AGL + MLPFeature Selection=AGL, Downstream Model=MLP2026.03 | 72.2 | |
| AM + MLPFeature Selection=AM, Downstream Model=MLP2026.03 | 72.2 | |
| XGBoost + MLPFeature Selection=XGBoost, Downstream Model=MLP2026.03 | 72.2 | |
| Deep Lasso + MLPFeature Selection=Deep Lasso, Downstream Model=MLP2026.03 | 72.1 | |
| LassoNet + MLPFeature Selection=LassoNet, Downstream Model=MLP2026.03 | 71.9 | |
| 1L Lasso + MLPFeature Selection=1L Lasso, Downstream Model=MLP2026.03 | 71.8 | |
| Univariate + MLPFeature Selection=Univariate, Downstream Model=MLP2026.03 | 71.7 | |
| Lasso + MLPFeature Selection=Lasso, Downstream Model=MLP2026.03 | 71.3 | |
| No FS + MLPFeature Selection=None, Downstream Model=MLP2026.03 | 70.3 |