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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