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Tabular Classification with Feature Selection on Wine (Accuracy)
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90.28
Accuracy
ReMLP
49.0336
59.7418
70.45
81.1582
Aug 4, 2025
Accuracy
Updated 1mo ago
Evaluation Results
Method
Method
Links
Accuracy
ReMLP
Selection Strategy=RL
2025.08
90.28
ReMLP
Selection Strategy=Greedy
2025.08
90
VIP
Selection Strategy=Greedy
2025.08
86.94
MLP
Selection Strategy=RL
2025.08
86.39
FTree
Selection Strategy=Greedy
2025.08
84.88
MLP
Selection Strategy=Greedy
2025.08
84.45
CART
Selection Strategy=Greedy
2025.08
83.33
CWCF
Selection Strategy=RL
2025.08
82.5
INVASE
Selection Strategy=Greedy
2025.08
81.94
Static CMI
Selection Strategy=Static
2025.08
79.17
DIME
Selection Strategy=Greedy
2025.08
63.06
TabNet
Selection Strategy=Static
2025.08
61.11
CART
Selection Strategy=RL
2025.08
60
FTree
Selection Strategy=RL
2025.08
50.62
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