Decision Support System (DSS) for Fraud Detection in Health Insurance Claims Using Genetic Support Vector Machines (GSVMs)

Table 3

Summary performance metrics of SVM classifiers on samples sizes.

Description
Kernels used	Data size	Average accuracy rate (%)	Sensitivity (%)	Specificity (%)
Linear	100	71.43	60.00	77.78
	300	72.73	84.21	0.00
	500	91.80	97.78	75.00
	750	84.42	95.00	47.06
	1000	82.95	85.42	80.00
Polynomial	100	71.43	66.67	72.73
	300	72.73	88.24	20.00
	500	96.72	100.00	86.67
	750	80.52	96.36	40.91
	1000	84.71	83.67	86.11
Radial basis function	100	71.43	57.14	85.71
	300	95.45	95.00	100.00
	500	99.18	100.00	96.30
	750	82.56	96.88	40.91
	1000	90.91	100.00	82.98