Table 4 Results (expressed in percentage) of individual MCs classification experiments among 30 repetitions, RFE feature selection method applied
| Â | Accuracy | Sensitivity | Specificity | AUC | F score | Features |
|---|---|---|---|---|---|---|
MLP | 75.46 ±0.65 | 63.44 ±1.20 | 84.70 ±0.74 | 80.57 ±0.58 | 75.08 ±0.01 | 300 |
RF | 77.32 ±0.09 | 61.15 ±0.16 | 89.76 ±0.14 | 81.18 ±0.04 | 76.67 ±0.01 | 300 |
SVM | 75.74 ±0.0 | 60.93 ±0.0 | 87.12 ±0.0 | 78.24 ±0.0 | 75.17 ±0.0 | 80 |
AdaBoost | 76.42 ±0.0 | 63.09 ±0.0 | 86.67 ±0.0 | 77.40 ±0.0 | 75.97 ±0.0 | 300 |