Regression on HO 50% corrupted features (noise)
-0.548Negative RMSERF + FT
Evaluation results
| Method | Links | |
|---|---|---|
| RF + FTFeature Selection=RF, Downstream Model=FT-Transformer2026.03 | -0.548 | |
| LassoNet + FTFeature Selection=LassoNet, Downstream Model=FT-Transformer2026.03 | -0.549 | |
| LassoNet + MLPFeature Selection=LassoNet, Downstream Model=MLP2026.03 | -0.551 | |
| 1L Lasso + FTFeature Selection=1L Lasso, Downstream Model=FT-Transformer2026.03 | -0.552 | |
| XGBoost + MLPFeature Selection=XGBoost, Downstream Model=MLP2026.03 | -0.553 | |
| AM + MLPFeature Selection=AM, Downstream Model=MLP2026.03 | -0.555 | |
| AM + FTFeature Selection=AM, Downstream Model=FT-Transformer2026.03 | -0.557 | |
| AGL + MLPFeature Selection=AGL, Downstream Model=MLP2026.03 | -0.561 | |
| XGBoost + FTFeature Selection=XGBoost, Downstream Model=FT-Transformer2026.03 | -0.561 | |
| RF + MLPFeature Selection=RF, Downstream Model=MLP2026.03 | -0.565 | |
| Deep Lasso + MLPFeature Selection=Deep Lasso, Downstream Model=MLP2026.03 | -0.567 | |
| Lasso + FTFeature Selection=Lasso, Downstream Model=FT-Transformer2026.03 | -0.57 | |
| AGL + FTFeature Selection=AGL, Downstream Model=FT-Transformer2026.03 | -0.572 | |
| No FS + FTFeature Selection=None, Downstream Model=FT-Transformer2026.03 | -0.574 | |
| 1L Lasso + MLPFeature Selection=1L Lasso, Downstream Model=MLP2026.03 | -0.581 | |
| Univariate + FTFeature Selection=Univariate, Downstream Model=FT-Transformer2026.03 | -0.586 | |
| LassoFlexNetFeature Selection=End-to-end2026.03 | -0.59 | |
| Deep Lasso + FTFeature Selection=Deep Lasso, Downstream Model=FT-Transformer2026.03 | -0.598 | |
| Lasso + MLPFeature Selection=Lasso, Downstream Model=MLP2026.03 | -0.602 | |
| No FS + MLPFeature Selection=None, Downstream Model=MLP2026.03 | -0.607 | |
| Univariate + MLPFeature Selection=Univariate, Downstream Model=MLP2026.03 | -0.62 |