Classification on wpbc (precision)
61.11PrecisionFARNem-F(#)
Evaluation results
| Method | Links | |
|---|---|---|
| FARNem-F(#)Classification Algorithm=Linear SVM2026.03 | 61.11 | |
| FSbuHD-F(#)Classification Algorithm=Linear SVM2026.03 | 58.82 | |
| CfsSubset Eval-F(#)Classification Algorithm=Linear SVM2026.03 | 51.85 | |
| OriginalClassification Algorithm=Linear SVM2026.03 | 50 | |
| FARNem-F(#)Classification Algorithm=KNN2026.03 | 42.42 | |
| CfsSubset Eval-F(#)Classification Algorithm=Complex Tree2026.03 | 40 | |
| FSbuHD-F(#)Classification Algorithm=Complex Tree2026.03 | 40 | |
| FSbuHD-F(#)Classification Algorithm=KNN2026.03 | 39.39 | |
| OriginalClassification Algorithm=KNN2026.03 | 37.5 | |
| FARNem-F(#)Classification Algorithm=Complex Tree2026.03 | 36.36 | |
| CfsSubset Eval-F(#)Classification Algorithm=KNN2026.03 | 34.29 | |
| OriginalClassification Algorithm=Complex Tree2026.03 | 34.04 | |
| RSFSAID-F(#)Classification Algorithm=Complex Tree2026.03 | 32.56 | |
| RSFSAID-F(#)Classification Algorithm=KNN2026.03 | 30.56 | |
| WARA-F(#)Classification Algorithm=KNN2026.03 | 21.88 | |
| WARA-F(#)Classification Algorithm=Complex Tree2026.03 | 17.5 |