Table 4. The performances of the classifiers (IRGs related validation cohort).
Algorithm | TP rate | FP rate | Precision | Recall | F-Measure | MCC | ROC area | PRC area |
---|---|---|---|---|---|---|---|---|
Random forest | 0.750 | 0.250 | 0.753 | 0.750 | 0.749 | 0.503 | 0.740 | 0.759 |
J48 | 0.650 | 0.350 | 0.665 | 0.650 | 0.642 | 0.314 | 0.625 | 0.589 |
IBK | 0.750 | 0.250 | 0.775 | 0.750 | 0.744 | 0.524 | 0.750 | 0.694 |
SMO | 0.800 | 0.200 | 0.800 | 0.800 | 0.800 | 0.600 | 0.800 | 0.740 |
Logistic | 0.450 | 0.550 | 0.433 | 0.450 | 0.413 | −0.115 | 0.400 | 0.460 |
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.