Table 3. The performances of the classifiers (IRGs related training cohort).
Algorithm | TP rate | FP rate | Precision | Recall | F-Measure | MCC | ROC area | PRC area |
---|---|---|---|---|---|---|---|---|
Random forest | 0.852 | 0.148 | 0.852 | 0.852 | 0.852 | 0.704 | 0.945 | 0.947 |
J48 | 0.796 | 0.204 | 0.797 | 0.796 | 0.796 | 0.593 | 0.787 | 0.733 |
IBK | 0.907 | 0.093 | 0.913 | 0.907 | 0.907 | 0.820 | 0.906 | 0.873 |
SMO | 0.907 | 0.093 | 0.913 | 0.907 | 0.907 | 0.820 | 0.907 | 0.872 |
Logistic | 0.852 | 0.148 | 0.860 | 0.852 | 0.851 | 0.712 | 0.853 | 0.810 |
IRGs, immune-related genes; TP, true positive; FP, false positive; MCC, Mathew correlation coefficient; ROC, receiver operating characteristic; PRC, precision recall curve; IBK, K-nearest neighbours; SMO, sequential minimal optimization.