Table 2. The performances of the classifiers (ARGs related validation cohort).
Algorithm | TP rate | FP rate | Precision | Recall | F-Measure | MCC | ROC area | PRC area |
---|---|---|---|---|---|---|---|---|
Random forest | 0.650 | 0.350 | 0.794 | 0.650 | 0.601 | 0.420 | 0.940 | 0.939 |
J48 | 0.550 | 0.450 | 0.763 | 0.550 | 0.436 | 0.229 | 0.810 | 0.753 |
IBK | 0.800 | 0.200 | 0.857 | 0.800 | 0.792 | 0.655 | 0.800 | 0.757 |
SMO | 0.600 | 0.400 | 0.778 | 0.600 | 0.524 | 0.333 | 0.600 | 0.578 |
Logistic | 0.650 | 0.350 | 0.700 | 0.650 | 0.627 | 0.346 | 0.830 | 0.759 |
ARGs, autophagy-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.