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Table 3 Five-fold cross-validation prediction results using the SVM-based method on the yeast dataset

From: Robust and accurate prediction of self-interacting proteins from protein sequence information by exploiting weighted sparse representation based classifier

Model

Testing set

Acc. (%)

Sen. (%)

Spe. (%)

Pre. (%)

MCC (%)

GLCM-SVM

1

95.42

95.68

95.38

75.61

82.97

 

2

95.34

92.14

95.74

73.30

80.30

 

3

94.77

92.47

95.08

71.43

79.16

 

4

96.54

94.20

96.84

78.79

84.63

 

5

95.90

93.55

96.16

72.96

80.94

 

Average

95.60 ± 0.66

93.61 ± 1.42

95.84 ± 0.69

74.42 ± 2.87

81.60 ± 2.19

GLCM-WSRC

Average

98.10 ± 0.47

87.17 ± 2.08

99.51 ± 0.26

95.87 ± 2.09

90.51 ± 2.09