Table 2. Comparison of the performance of Support Vector Machine (SVM) classifier with sampling using polynomial, normalized polynomial and puk kernels using complexity parameters 0.1, 10 and 30 using 10-fold cross validation using SMOTE.

	Polynomial			Normalized Polynomial			Puk
	C = 0.1	C = 10	C = 30	C = 0.1	C = 10	C = 30	C = 0.1	C = 10	C = 30
Sensitivity	46.55	46.70	46.66	40.86	45.05	44.62	48.61	58.74	63.61
Specificity	77.39	77.31	77.33	79.17	77.40	78.09	78.44	78.90	78.97
Precision	52.57	52.56	52.57	51.36	51.76	52.30	54.83	59.97	61.95
F-score	49.38	49.45	49.44	45.51	48.18	48.15	51.53	59.35	62.77
AUC	0.62	0.62	0.62	0.60	0.61	0.61	0.64	0.69	0.71
RMSE	0.58	0.58	0.58	0.59	0.58	0.58	0.57	0.53	0.51