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

Table 7

Comparison of results of GSVM with decision trees and Naïve–Bayes.

Description of the algorithm used	Claims dataset	Accuracy obtained with the corresponding dataset	Average value over different datasets
GSVM with radial basis function (RBF) kernel	100	71.43	87.906
	300	95.45
	500	99.18
	750	82.56
	1000	90.91
Decision trees	100	62	74.44
	300	78
	500	77.8
	750	82.7
	1000	71.7
Naïve–Bayes	100	50	59.1
	300	61
	500	56.8
	750	60.7
	1000	67