Regression on YE 75% corrupted features
-0.778Negative RMSEDeep Lasso + MLP
Evaluation results
| Method | Links | |
|---|---|---|
| Deep Lasso + MLPFeature Selection=Deep Lasso, Downstream Model=MLP2026.03 | -0.778 | |
| 1L Lasso + MLPFeature Selection=1L Lasso, Downstream Model=MLP2026.03 | -0.779 | |
| AGL + MLPFeature Selection=AGL, Downstream Model=MLP2026.03 | -0.78 | |
| XGBoost + MLPFeature Selection=XGBoost, Downstream Model=MLP2026.03 | -0.784 | |
| LassoNet + MLPFeature Selection=LassoNet, Downstream Model=MLP2026.03 | -0.785 | |
| LassoFlexNetFeature Selection=End-to-end2026.03 | -0.785 | |
| RF + MLPFeature Selection=RF, Downstream Model=MLP2026.03 | -0.788 | |
| Lasso + MLPFeature Selection=Lasso, Downstream Model=MLP2026.03 | -0.791 | |
| No FS + MLPFeature Selection=None, Downstream Model=MLP2026.03 | -0.808 | |
| Univariate + MLPFeature Selection=Univariate, Downstream Model=MLP2026.03 | -0.838 |