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Table 5 Comparison of different machine learning classifiers

From: Prediction of drug-target interactions from multi-molecular network based on LINE network representation method

Classifier

ACC. (%)

Spec. (%)

Prec. (%)

MCC (%)

Sen. (%)

AUC (%)

Logistic

77.63 ± 1.03

81.19 ± 0.75

79.74 ± 0.91

55.40 ± 2.04

74.06 ± 1.41

84.27 ± 1.30

KNN

82.04 ± 1.19

79.83 ± 2.26

80.72 ± 1.74

64.15 ± 2.32

84.24 ± 0.78

88.99 ± 0.81

Naive Bayes

72.57 ± 1.16

73.74 ± 1.09

73.11 ± 1.04

45.15 ± 2.31

71.39 ± 1.91

77.30 ± 1.57

DecisionTree

79.81 ± 0.66

79.73 ± 1.29

79.78 ± 1.01

59.63 ± 1.32

79.89 ± 0.60

79.81 ± 0.66

RandomForest

85.83 ± 0.72

91.19 ± 0.34

90.14 ± 0.43

72.09 ± 1.38

80.47 ± 1.24

92.33 ± 0.47