Table 3.

Results for all classification models.

	Logistic Regression	Probit Regression	Decision Tree	Random Forest	SVM
Area Under the Curve, AUC	0.963	0.964	0.991	0.994	NA
K- Cutoff	0.460	0.420	0.87	0.34	NA
Total cost	94,450	96,200	22,200	13,900	NA
True positive	6455	6390	6712	6624	6696
False positive	277	342	20	38	169
False negative	334	310	101	84	42
True negative	1409	1433	1642	1729	1574
Sensitivity	0.960	0.950	1	0.98	0.975
1- Specificity	0.190	0.180	0.060	0.01	0.026
Accuracy	0.928	0.923	0.986	0.985	0.975