Table 6.

Results of proposed and existing prediction models on test dataset.

Model	Accuracy (%)	AUC	Gini	Sensitivity	Specificity	F-Score	Precision
Neural Network	95.66	0.981	0.980	0.959	0.971	0.910	0.929
Decision Tree	94.81	0.978	0.929	0.979	0.959	0.979	0.939
SVM	96.32	0.982	0.932	0.981	0.946	0.957	0.948
RandomForest	97.11	0.963	0.910	0.961	0.941	0.964	0.971
adaBoost	95.87	0.989	0.978	0.961	0.957	0.959	0.976
Proposed Model	98.20	0.991	0.994	0.982	0.971	0.990	0.981