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ResearchFormerly WizWand

Classification on CO 50% corrupted features

97AccuracyLassoNet + FT
93.46494.38295.396.218Mar 21, 2026
Updated 7mo ago

Evaluation results

MethodLinks
LassoNet + FTFeature Selection=LassoNet, Downstream Model=FT-Transformer2026.0397
XGBoost + FTFeature Selection=XGBoost, Downstream Model=FT-Transformer2026.0397
LassoFlexNetFeature Selection=End-to-end2026.0397
LassoNet + MLPFeature Selection=LassoNet, Downstream Model=MLP2026.0396.9
XGBoost + MLPFeature Selection=XGBoost, Downstream Model=MLP2026.0396.9
1L Lasso + FTFeature Selection=1L Lasso, Downstream Model=FT-Transformer2026.0396.9
AGL + FTFeature Selection=AGL, Downstream Model=FT-Transformer2026.0396.9
AM + FTFeature Selection=AM, Downstream Model=FT-Transformer2026.0396.9
RF + FTFeature Selection=RF, Downstream Model=FT-Transformer2026.0396.9
Lasso + MLPFeature Selection=Lasso, Downstream Model=MLP2026.0396.8
1L Lasso + MLPFeature Selection=1L Lasso, Downstream Model=MLP2026.0396.8
AGL + MLPFeature Selection=AGL, Downstream Model=MLP2026.0396.8
Deep Lasso + MLPFeature Selection=Deep Lasso, Downstream Model=MLP2026.0396.8
Deep Lasso + FTFeature Selection=Deep Lasso, Downstream Model=FT-Transformer2026.0396.8
AM + MLPFeature Selection=AM, Downstream Model=MLP2026.0396.7
RF + MLPFeature Selection=RF, Downstream Model=MLP2026.0396.7
No FS + FTFeature Selection=None, Downstream Model=FT-Transformer2026.0396.7
Univariate + MLPFeature Selection=Univariate, Downstream Model=MLP2026.0396.6
No FS + MLPFeature Selection=None, Downstream Model=MLP2026.0396.5
Univariate + FTFeature Selection=Univariate, Downstream Model=FT-Transformer2026.0396.5
Lasso + FTFeature Selection=Lasso, Downstream Model=FT-Transformer2026.0393.6