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Table 6 Comparison of predicting performance between our method and other methods on yeast 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] 71.90 72.18 69.72 0.2842
DXECPPI [33] 87.46 94.93 29.44 0.2825
PPIevo [34] 66.28 87.46 60.14 0.1801
LocFuse [35] 66.66 68.10 55.49 0.1577
CRS [22] 72.69 74.37 59.58 0.2368
SPAR [22] 76.96 80.02 53.24 0.2484
Proposed method 92.94 69.25 69.25 0.6765