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Table 3 Comparison results of RP and SVM with FIRF feature vectors on yeast dataset

From: Identification of self-interacting proteins by integrating random projection classifier and finite impulse response filter

Testing set

Acc (%)

Sen (%)

PE (%)

MCC (%)

SVM + PSSM+FIRF

 1

92.36

32.62

100.00

54.81

 2

89.15

6.25

100.00

23.59

 3

94.21

45.04

100.00

65.04

 4

93.65

44.76

100.00

64.62

 5

92.21

35.76

100.00

57.31

Average

92.32 ± 1.96

32.89 ± 15.86

100.00 ± 0.00

53.07 ± 17.08

RP + PSSM+FIRF

 1

97.43

78.01

99.10

86.65

 2

97.35

77.08

100.00

86.51

 3

97.35

75.57

99.00

85.22

 4

97.51

78.32

100.00

87.28

 5

97.11

76.16

100.00

85.87

Average

97.35 ± 0.15

77.03 ± 1.17

99.62 ± 0.52

86.31 ± 0.79