Table 1. Performance of the best selected model from each ML-based method.

Method	MCC	Accuracy	Sensitivity	Specificity	Pt	Py
SVM	0.660	0.871	0.655	0.952	0.624	0.607
RF	0.638	0.861	0.669	0.934	0.625	0.603
ET	0.635	0.848	0.668	0.931	0.622	0.599
k-NN	0.632	0.860	0.642	0.943	0.605	0.585

The first column represents the ML-based method developed in this study. The second, the third, the fourth and the fifth, the sixth and the seventh respectively represent the MCC, accuracy, sensitivity, specificity, Pt and Py. Bold font denotes the best result.