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Table 3 Fivefold cross-validation performance analysis of deep-learning based machine learning methods on unbalanced dataset (1:2)

From: Struct2Graph: a graph attention network for structure based predictions of protein–protein interactions

Method

Performance (%) on unbalanced training set—1:2

Accuracy

Precision

Recall

Specificity

DeepPPI

97.40 ± 0.44

98.64 ± 0.61

93.52 ± 1.64

99.35 ± 0.30

DeepFE-PPI

98.91 ± 0.09

99.00 ± 0.32

97.71 ± 0.33

99.51 ± 0.16

Struct2Graph

99.03 ± 0.24

99.13 ± 0.25

98.11 ± 0.58

99.53 ± 0.13

Method

MCC

F1-score

ROC-AUC

NPV

DeepPPI

94.16 ± 0.97

96.00 ± 0.72

99.19 ± 0.21

96.85 ± 0.76

DeepFE-PPI

97.54 ± 0.20

98.35 ± 0.13

99.56 ± 0.08

99.86 ± 0.16

Struct2Graph

97.87 ± 0.51

98.62 ± 0.32

99.47 ± 0.20

98.97 ± 0.34

  1. Bold face numbers indicate the best performance