Table 2. Overall summary of performance of algorithms.

Models	Population A								Population B
	TPR	FPR	Precision	Recall	F	MCC	AUC		TPR	FPR	Precision	Recall	F	MCC	AUC
BN	0.887	0.133	0.888	0.887	0.887	0.745	0.93		0.801	0.255	0.799	0.801	0.798	0.568	0.858
RF	0.858	0.237	0.858	0.858	0.853	0.668	0.94		0.773	0.354	0.799	0.773	0.751	0.515	0.86
SL	0.922	0.127	0.922	0.922	0.921	0.82	0.975		0.73	0.395	0.737	0.73	0.707	0.402	0.714
LMT	0.922	0.127	0.922	0.922	0.921	0.82	0.975		0.773	0.302	0.771	0.773	0.766	0.503	0.762

BN means Bayes Net, RF means Random Forest, SL denotes Simple Logistic. F means F measure. MCC means Matthews correlation coefficient.