Table 3.

Results obtained by employing various ML approaches.

ML Approaches	Results Obtained (in %)
	Accuracy	Precision	Sensitivity	Specificity	F-Value	MCC
SVM	78.85	83.33	85.71	64.71	84.51	51.25
LR	76.92	80.56	85.29	61.11	82.86	47.83
DT	80.77	86.11	86.11	68.75	86.11	54.86
RF	82.69	86.11	88.57	70.59	87.32	60.13
AdaBoost	82.69	86.49	88.89	68.75	87.67	58.72
XGBoost	84.62	86.84	91.67	68.75	89.19	62.87