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Table 2 Performance of SVM models developed using PSSM profile of proteins at different window lengths.

From: Identification of NAD interacting residues in proteins

Window size

Kernel parameters

Thr*

Sen (%)

Spe (%)

Acc (%)

MCC

3

t 2 g 1.0 j 1 c 10

0

83.26

82.61

82.93

0.66

5

t 2 g 1.0 j 1 c 10

0

82.59

87.51

85.05

0.7

7

t 2 g 0.1 j 1 c 10

0

82.39

84.67

83.53

0.67

9

t 2 g 0.1 j 1 c 10

0

84.18

86.13

85.16

0.7

11

t 2 g 0.1 j 1 c 10

0

85.28

86.25

85.77

0.72

13

t 2 g 0.1 j 1 c 10

0

85.7

86.52

86.11

0.72

15

t 2 g 0.1 j 1 c 10

0

85.36

86.31

85.84

0.72

17

t 2 g 0.1 j 1 c 10

0

83.69

87.99

85.84

0.72

19

t 2 g 0.1 j 1 c 10

0

86.13

88.37

87.25

0.75

21

t 2 g 0.1 j 1 c 10

0

85.52

87.33

86.43

0.73

  1. SVM models were trained and tested on a dataset having equal number of positive and negative data. Bold font shows the performance and parameters of selected SVM model.