Table 3.
Performance of various methods on independent dataset.
| Method | MCC | ACC | Sensitivity | Specificity | AUC | P-value |
|---|---|---|---|---|---|---|
| PVP-SVM | 0.531 | 0.798 | 0.667 | 0.859 | 0.844 | |
| ERT | 0.509 | 0.798 | 0.533 | 0.922 | 0.778 | 0.367 |
| RF | 0.481 | 0.787 | 0.500 | 0.922 | 0.756 | 0.238 |
| SVM control | 0.414 | 0.755 | 0.533 | 0.859 | 0.796 | 0.505 |
| PVPred | 0.357 | 0.713 | 0.600 | 0.765 | 0.742 | 0.176 |
The first column represents the method name employed in this study. The second, the third, the fourth and the fifth respectively represent the MCC, accuracy, sensitivity, and specificity. The sixth column and the seventh represent the AUC and pairwise comparison of ROC area under curves (AUCs) between PVP-SVM and the other methods using a two-tailed t-test.