Table 1. Performances of SVM-based models trained with different feature selection methods and features.
| Feature selection method | Feature | Sn (%) | Sp (%) | Acc (%) | MCC |
|---|---|---|---|---|---|
| NA | DPC | 81.34 | 83.60 | 81.61 | 0.64 |
| F-score | ODPC | 83.71 | 86.77 | 84.84 | 0.70 |
| Random forest | ODPC | 83.67 | 86.47 | 84.19 | 0.70 |