Table 3: Kernel optimization for support vector machine.

Kernel types

Performance measures

Accuracy (%)

Sensitivity (%)

Specificity (%)

Linear

64.26

64.88

51.18

RBF

65.61

66.27

52.28

Polynomial-2

64.36

64.96

43.15

Sigmoid

58.58

59.35

51.57

Laplace

64.67

65.34

52.28

RBF: Radial Basis Function