FS method | Number of selected features | Machine learning method | |||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Support vector machine-RBF | K-nearest neighbor | Random forest | |||||||||||||||||
P | R | F1 | Acc | AUROC | AUPRC | P | R | F1 | Acc | AUROC | AUPRC | P | R | F1 | Acc | AUROC | AUPRC | ||
Base selectors | |||||||||||||||||||
Baseline | 361 | 0.62 | 0.30 | 0.41 | 0.80 | 0.69 | 0.40 | 0.69 | 0.49 | 0.57 | 0.86 | 0.86 | 0.54 | 0.77 | 0.65 | 0.71 | 0.90 | 0.93 | 0.96 |
Chi2 | 106 | 0.83 | 0.41 | 0.55 | 0.88 | 0.81 | 0.55 | 0.72 | 0.59 | 0.65 | 0.89 | 0.89 | 0.65 | 0.87 | 0.70 | 0.77 | 0.93 | 0.95 | 0.77 |
MI | 172 | 0.75 | 0.43 | 0.54 | 0.87 | 0.76 | 0.54 | 0.67 | 0.50 | 0.57 | 0.87 | 0.88 | 0.57 | 0.77 | 0.64 | 0.70 | 0.90 | 0.94 | 0.70 |
FIS | 107 | 0.78 | 0.44 | 0.56 | 0.88 | 0.81 | 0.56 | 0.69 | 0.71 | 0.76 | 0.88 | 0.89 | 0.65 | 0.82 | 0.71 | 0.76 | 0.92 | 0.95 | 0.76 |
FGS | 66 | 0.74 | 0.36 | 0.48 | 0.87 | 0.79 | 0.48 | 0.68 | 0.52 | 0.59 | 0.87 | 0.89 | 0.59 | 0.79 | 0.71 | 0.75 | 0.92 | 0.95 | 0.48 |
RFE-RF | 131 | 0.79 | 0.64 | 0.71 | 0.91 | 0.90 | 0.66 | 0.79 | 0.74 | 0.76 | 0.92 | 0.95 | 0.74 | 0.83 | 0.85 | 0.84 | 0.94 | 0.97 | 0.83 |
Ensemble selectors | |||||||||||||||||||
IFFS | 58 | 0.73 | 0.33 | 0.45 | 0.86 | 0.74 | 0.45 | 0.64 | 0.53 | 0.58 | 0.87 | 0.82 | 0.57 | 0.74 | 0.61 | 0.67 | 0.88 | 0.91 | 0.66 |
UFFS | 223 | 0.81 | 0.56 | 0.66 | 0.87 | 0.90 | 0.66 | 0.75 | 0.73 | 0.74 | 0.94 | 0.91 | 0.74 | 0.87 | 0.81 | 0.84 | 0.94 | 0.98 | 0.83 |
IFS | 19 | 0.82 | 0.17 | 0.27 | 0.85 | 0.62 | 0.27 | 0.49 | 0.47 | 0.48 | 0.82 | 0.79 | 0.48 | 0.75 | 0.36 | 0.49 | 0.87 | 0.89 | 0.48 |
UFS | 272 | 0.81 | 0.65 | 0.72 | 0.91 | 0.91 | 0.72 | 0.80 | 0.75 | 0.77 | 0.92 | 0.95 | 0.77 | 0.89 | 0.91 | 0.90 | 0.96 | 0.98 | 0.89 |