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Table 5 Predictive results of 5-fold cross-validation performed by different models on Yeast dataset

From: Using discriminative vector machine model with 2DPCA to predict interactions among proteins

Model

Test set

Acc (%)

Sen (%)

Pre (%)

MCC

Guo [13]

ACC

89.33 ± 2.67

89.93 ± 3.68

88.87 ± 6.16

N/A

AC

87.36 ± 1.38

87.30 ± 4.68

87.82 ± 4.33

N/A

Yang [25]

Cod1

75.08 ± 1.13

75.81 ± 1.20

74.75 ± 1.23

N/A

Cod2

80.04 ± 1.06

76.77 ± 0.69

82.17 ± 1.35

N/A

Cod3

80.41 ± 0.47

78.14 ± 0.90

81.66 ± 0.99

N/A

Cod4

86.15 ± 1.17

81.03 ± 1.74

90.24 ± 1.34

N/A

You [26]

EELM

87.00 ± 0.29

86.15 ± 0.43

87.59 ± 0.32

0.7736 ± 0.0044

Wong [27]

RF + PR-LPQ

93.92 ± 0.36

91.10 ± 0.31

96.45 ± 0.45

0.8856 ± 0.0063

Our method

DVM

97.06 ± 0.06

96.97 ± 0.35

96.89 ± 0.38

0.9412 ± 0.0012