Table 1. The performances of the classifiers (ARGs related training cohort).

Algorithm	TP rate	FP rate	Precision	Recall	F-Measure	MCC	ROC area	PRC area
Random forest	0.907	0.093	0.908	0.907	0.907	0.815	0.975	0.976
J48	0.907	0.093	0.908	0.907	0.907	0.815	0.894	0.855
IBK	0.926	0.074	0.928	0.926	0.926	0.854	0.940	0.912
SMO	0.926	0.074	0.928	0.926	0.926	0.854	0.926	0.895
Logistic regression	0.778	0.222	0.779	0.778	0.777	0.557	0.849	0.815

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.