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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