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ResearchFormerly WizWand

Feature Selection on MI with random extraneous features (Precision, Recall)

0.993PrecisionXGBoost
0.304520.483260.6620.84074Nov 10, 2023
Updated 8mo ago

Evaluation results

MethodLinks
XGBoost% extraneous features=752023.110.9930.993
Univariate% extraneous features=752023.110.9870.987
Univariate% extraneous features=502023.110.9860.986
XGBoost% extraneous features=502023.110.9560.956
Deep Lasso% extraneous features=502023.110.950.95
Deep Lasso% extraneous features=752023.110.9460.946
1L Lasso% extraneous features=502023.110.8820.882
AGL% extraneous features=502023.110.870.87
AGL% extraneous features=752023.110.7750.775
1L Lasso% extraneous features=752023.110.7210.721
RF% extraneous features=752023.110.6640.664
AM% extraneous features=502023.110.6460.646
Lasso% extraneous features=502023.110.5880.588
LassoNet% extraneous features=502023.110.5820.582
RF% extraneous features=502023.110.5530.553
Lasso% extraneous features=752023.110.4010.401
LassoNet% extraneous features=752023.110.3310.331