Table 5.

Results in terms of accuracy and other performance metrics.

Model	Accuracy (%)	AUC	Gini	Sensitivity	Specificity	MCC
Decision tree	96.01	0.973	0.969	0.961	0.963	0.921
Neural network	93.98	0.943	0.938	0.956	0.951	0.918
SVM	95.78	0.962	0.946	0.972	0.966	0.896
adaBoost	96.32	0.978	0.939	0.969	0.982	0.901
RandomForest	96.21	0.971	0.976	0.949	0.949	0.927
Proposed model	97.89	0.984	0.981	0.987	0.974	0.948