Regression on CH 75% corrupted features (noise)
-0.422Negative RMSELassoFlexNet
Evaluation results
| Method | Links | |
|---|---|---|
| LassoFlexNetFeature Selection=End-to-end2026.03 | -0.422 | |
| Deep Lasso + MLPFeature Selection=Deep Lasso, Downstream Model=MLP2026.03 | -0.441 | |
| 1L Lasso + MLPFeature Selection=1L Lasso, Downstream Model=MLP2026.03 | -0.444 | |
| RF + MLPFeature Selection=RF, Downstream Model=MLP2026.03 | -0.45 | |
| LassoNet + MLPFeature Selection=LassoNet, Downstream Model=MLP2026.03 | -0.452 | |
| Lasso + MLPFeature Selection=Lasso, Downstream Model=MLP2026.03 | -0.454 | |
| XGBoost + MLPFeature Selection=XGBoost, Downstream Model=MLP2026.03 | -0.515 | |
| No FS + MLPFeature Selection=None, Downstream Model=MLP2026.03 | -0.516 | |
| AGL + MLPFeature Selection=AGL, Downstream Model=MLP2026.03 | -0.566 | |
| Univariate + MLPFeature Selection=Univariate, Downstream Model=MLP2026.03 | -0.569 |