Table 3 Number of times different methods achieve the best results with SVM classifier
Dataset | LS | GCNC | FGUFS | FS | FAST | FJMI | PCA | PCFS |
|---|---|---|---|---|---|---|---|---|
SPECTF | 0 | 1 | 1 | 0 | 0 | 2 | 0 | 6 |
SpamBase | 0 | 2 | 0 | 0 | 1 | 1 | 0 | 6 |
Sonar | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 7 |
Arrhythmia | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 8 |
Madelon | 0 | 1 | 0 | 1 | 1 | 1 | 0 | 6 |
Isolet | 0 | 1 | 1 | 0 | 2 | 1 | 0 | 5 |
Multiple Features | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 5 |
Colon | 0 | 1 | 1 | 0 | 1 | 1 | 1 | 5 |
Average | 0 | 1.12 | 0.62 | 0.25 | 0.75 | 1 | 0.25 | 6 |