Table 2.

Evaluation of the performances of different ML classifiers.

Classifier	Accuracy	Sensitivity	Specificity	Positive predictive value (precision)	Negative predictive value
SVM	0.8824	0.9143	0.8125	0.9143	0.8125
RF	0.8236	0.9143	0.6250	0.8421	0.7692
KNN	0.8039	0.8286	0.7500	0.8789	0.6667
MLP	0.7647	0.8286	0.6250	0.8286	0.6250

The bold values indicate that the SVM classifier had the best performance among the four models.