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Tabular Classification with Feature Selection on Heart

83.11AccuracyINVASE
50.204458.747267.2975.8328Aug 4, 2025

Evaluation results

MethodLinks
INVASESelection Strategy=Greedy2025.0883.11
ReMLPSelection Strategy=RL2025.0875.08
ReMLPSelection Strategy=Greedy2025.0873.12
CWCFSelection Strategy=RL2025.0870.66
VIPSelection Strategy=Greedy2025.0870.49
CARTSelection Strategy=Greedy2025.0870
FTreeSelection Strategy=Greedy2025.0868.67
DIMESelection Strategy=Greedy2025.0866.39
Static CMISelection Strategy=Static2025.0865.58
MLPSelection Strategy=Greedy2025.0865.25
MLPSelection Strategy=RL2025.0864.92
TabNetSelection Strategy=Static2025.0862.3
CARTSelection Strategy=RL2025.0861.47
FTreeSelection Strategy=RL2025.0851.47