Tabular Classification with Feature Selection on Wine (Accuracy)
90.28AccuracyReMLP
Evaluation Results
| Method | Links | |
|---|---|---|
| ReMLPSelection Strategy=RL2025.08 | 90.28 | |
| ReMLPSelection Strategy=Greedy2025.08 | 90 | |
| VIPSelection Strategy=Greedy2025.08 | 86.94 | |
| MLPSelection Strategy=RL2025.08 | 86.39 | |
| FTreeSelection Strategy=Greedy2025.08 | 84.88 | |
| MLPSelection Strategy=Greedy2025.08 | 84.45 | |
| CARTSelection Strategy=Greedy2025.08 | 83.33 | |
| CWCFSelection Strategy=RL2025.08 | 82.5 | |
| INVASESelection Strategy=Greedy2025.08 | 81.94 | |
| Static CMISelection Strategy=Static2025.08 | 79.17 | |
| DIMESelection Strategy=Greedy2025.08 | 63.06 | |
| TabNetSelection Strategy=Static2025.08 | 61.11 | |
| CARTSelection Strategy=RL2025.08 | 60 | |
| FTreeSelection Strategy=RL2025.08 | 50.62 |