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ResearchFormerly WizWand

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

100PrecisionUnivariate
50.49663.34876.289.052Nov 10, 2023
Updated 8mo ago

Evaluation results

MethodLinks
Univariate% extraneous features=502023.11100100
Deep Lasso% extraneous features=502023.11100100
Univariate% extraneous features=752023.11100100
RF% extraneous features=752023.1199.599.5
XGBoost% extraneous features=502023.1199.299.2
Deep Lasso% extraneous features=752023.1199.299.2
RF% extraneous features=502023.1198.598.5
XGBoost% extraneous features=752023.1197.497.4
Lasso% extraneous features=502023.1196.996.9
Lasso% extraneous features=752023.1196.396.3
1L Lasso% extraneous features=752023.1193.393.3
AM% extraneous features=502023.119292
1L Lasso% extraneous features=502023.1191.591.5
AGL% extraneous features=502023.1187.587.5
AGL% extraneous features=752023.1170.470.4
LassoNet% extraneous features=502023.1169.269.2
LassoNet% extraneous features=752023.1152.452.4