Table 2. AUC, F1, Accuracy, Specificity, and Sensitivity Values Obtained for Each ML Model.

	AUC	F1	accuracy	specificity	sensitivity
random forest	0.710	0.733	0.711	0.716	0.704
logistic regression	0.779	0.830	0.793	0.910	0.648
KNN	0.729	0.768	0.736	0.791	0.667
SVM	0.707	0.802	0.736	0.970	0.444
decision tree	0.777	0.814	0.785	0.851	0.704