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Tabular Classification with Feature Selection on Diabetes (Accuracy)
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62.63
Accuracy
Static CMI
49.1932
52.6816
56.17
59.6584
Aug 4, 2025
Accuracy
Updated 1mo ago
Evaluation Results
Method
Method
Links
Accuracy
Static CMI
Selection Strategy=Static
2025.08
62.63
VIP
Selection Strategy=Greedy
2025.08
61.88
FTree
Selection Strategy=RL
2025.08
61.56
ReMLP
Selection Strategy=RL
2025.08
60.35
CART
Selection Strategy=Greedy
2025.08
58.73
MLP
Selection Strategy=RL
2025.08
58.43
ReMLP
Selection Strategy=Greedy
2025.08
56.58
DIME
Selection Strategy=Greedy
2025.08
56.55
FTree
Selection Strategy=Greedy
2025.08
56.21
CWCF
Selection Strategy=RL
2025.08
55.56
CART
Selection Strategy=RL
2025.08
55.17
TabNet
Selection Strategy=Static
2025.08
53.15
MLP
Selection Strategy=Greedy
2025.08
51.85
INVASE
Selection Strategy=Greedy
2025.08
49.71
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