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Benchmarks
Tabular Classification with Feature Selection on Yeast
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0.3902
Accuracy
MLP
0.287968
0.314509
0.34105
0.367591
Aug 4, 2025
Accuracy
Updated 1mo ago
Evaluation Results
Method
Method
Links
Accuracy
MLP
Selection Strategy=RL
2025.08
0.3902
ReMLP
Selection Strategy=Greedy
2025.08
0.3825
MLP
Selection Strategy=Greedy
2025.08
0.3734
ReMLP
Selection Strategy=RL
2025.08
0.3724
CART
Selection Strategy=Greedy
2025.08
0.3707
DIME
Selection Strategy=Greedy
2025.08
0.3465
VIP
Selection Strategy=Greedy
2025.08
0.3353
CWCF
Selection Strategy=RL
2025.08
0.3252
Static CMI
Selection Strategy=Static
2025.08
0.3165
TabNet
Selection Strategy=Static
2025.08
0.3165
INVASE
Selection Strategy=Greedy
2025.08
0.3162
FTree
Selection Strategy=RL
2025.08
0.3004
FTree
Selection Strategy=Greedy
2025.08
0.2993
CART
Selection Strategy=RL
2025.08
0.2919
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