Table 2. Performance metrics (accuracy, specificity, sensitivity, precision, and F1-score) of logistic regression, SVM, KNN, decision tree and random forest

Model	Accuracy	Sensitivity	Specificity	Precision	F1-score
Logistic regression	0.86	0.89	0.80	0.89	0.89
SVM	0.79	0.89	0.60	0.80	0.84
KNN	0.93	1.00	0.80	0.90	0.95
Decision tree	0.71	0.78	0.60	0.78	0.78
Random forest	0.86	0.78	1.00	1.00	0.88

KNN, K-nearest neighbors; SVM, support vector machine.