Table 2.

Performance comparison of the generated prediction models on the test dataset

	Accuracy	Precision	Recall	F1-score	MCC	KC
LR	0.71	0.71	0.71	0.71	0.56	0.56
RF	0.73	0.74	0.73	0.74	0.60	0.60
XGBoost	0.72	0.74	0.72	0.73	0.58	0.58
SVM	0.73	0.74	0.74	0.74	0.60	0.60
CIM	0.73	0.73	0.73	0.73	0.59	0.59
Stacking classifier	0.72	0.75	0.72	0.73	0.58	0.58
Soft voting	0.73	0.74	0.73	0.73	0.59	0.59

LR = logistic regression, RF = random forest, SVM = support vector machine, CIM = confusion matrix-based classifier integration approach, MCC = Matthews Correlation Coefficient, and KC = Cohen’s kappa score.