Classification on AL 75% corrupted features (noise)
96AccuracyUnivariate
Evaluation results
| Method | Links | |
|---|---|---|
| UnivariateDownstream Model=MLP2026.03 | 96 | |
| Deep Lasso + MLPFeature Selection=Deep Lasso, Downstream Model=MLP2026.03 | 95.9 | |
| LassoDownstream Model=MLP2026.03 | 95.9 | |
| LassoNetDownstream Model=MLP2026.03 | 95.8 | |
| XGBoostDownstream Model=MLP2026.03 | 95.8 | |
| LassoFlexNetFeature Selection=End-to-end2026.03 | 95.8 | |
| 1L LassoDownstream Model=MLP2026.03 | 95.7 | |
| Deep LassoDownstream Model=MLP2026.03 | 95.7 | |
| Univariate + MLPFeature Selection=Univariate, Downstream Model=MLP2026.03 | 95.5 | |
| 1L Lasso + MLPFeature Selection=1L Lasso, Downstream Model=MLP2026.03 | 95.5 | |
| LassoFlexNetFeature Selection=End-to-end2026.03 | 95.5 | |
| XGBoost + MLPFeature Selection=XGBoost, Downstream Model=MLP2026.03 | 95.4 | |
| AGLDownstream Model=MLP2026.03 | 95.4 | |
| RF + MLPFeature Selection=RF, Downstream Model=MLP2026.03 | 95.2 | |
| RFDownstream Model=MLP2026.03 | 94.9 | |
| Lasso + MLPFeature Selection=Lasso, Downstream Model=MLP2026.03 | 94.8 | |
| LassoNet + MLPFeature Selection=LassoNet, Downstream Model=MLP2026.03 | 94.7 | |
| AGL + MLPFeature Selection=AGL, Downstream Model=MLP2026.03 | 92.8 | |
| No FSDownstream Model=MLP2026.03 | 92.5 | |
| No FS + MLPFeature Selection=None, Downstream Model=MLP2026.03 | 92.1 |