Classification on EY 75% corrupted features (noise)
67.5AccuracyLassoFlexNet
Evaluation Results
| Method | Links | |
|---|---|---|
| LassoFlexNetFeature Selection=End-to-end2026.03 | 67.5 | |
| XGBoost + MLPFeature Selection=XGBoost, Downstream Model=MLP2026.03 | 57.1 | |
| Lasso + MLPFeature Selection=Lasso, Downstream Model=MLP2026.03 | 56.5 | |
| Deep Lasso + MLPFeature Selection=Deep Lasso, Downstream Model=MLP2026.03 | 55.4 | |
| 1L Lasso + MLPFeature Selection=1L Lasso, Downstream Model=MLP2026.03 | 54.9 | |
| AGL + MLPFeature Selection=AGL, Downstream Model=MLP2026.03 | 54.8 | |
| RF + MLPFeature Selection=RF, Downstream Model=MLP2026.03 | 54.7 | |
| LassoNet + MLPFeature Selection=LassoNet, Downstream Model=MLP2026.03 | 53.9 | |
| No FS + MLPFeature Selection=None, Downstream Model=MLP2026.03 | 51.8 | |
| Univariate + MLPFeature Selection=Univariate, Downstream Model=MLP2026.03 | 51 |