Table 4.

Comparison of methods.

	Accuracy	10-Fold Cross-Validation	Precision	Sensitivity	f1	AUC	Specificity
Our method	93%	0.92	0.95	0.94	0.94	0.98	0.94
Logistic Regression	89%	0.89	0.82	0.88	0.85	0.95	0.88
Naive Bayes	88%	0.84	0.89	0.92	0.90	0.93	0.92
KNN	60%	0.58	0.66	0.73	0.69	0.55	0.73
Random Forest	91%	0.90	0.94	0.91	0.92	0.97	0.91
BP Neural Network	92%	0.90	0.95	0.93	0.94	0.97	0.93