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Table 7 Comparison of predicting performance between our method and other methods on human dataset

From: Computational methods using weighed-extreme learning machine to predict protein self-interactions with protein evolutionary information

Model

Ac (%)

Sp (%)

Sn (%)

MCC

SLIPPER [1]

91.10

95.06

47.26

0.4197

DXECPPI [33]

30.90

25.83

87.08

0.0825

PPIevo [34]

78.04

25.82

87.83

0.2082

LocFuse [35]

80.66

80.50

50.83

0.2026

CRS [22]

91.54

96.72

34.17

0.3633

SPAR [22]

92.09

97.40

33.33

0.3836

Proposed method

96.74

80.00

83.70

0.8074