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Table 3 Performance of the proposed method and state-of-the-art-methods using 5-fold cross-validation on Liu’s data set

From: Inverse similarity and reliable negative samples for drug side-effect prediction

Method

Average precision

AUC-ROC

AUC-PR

Our method

0.5439

0.9086

0.5424

Liu’s method [31]

0.2610

0.8850

0.2514

FS-MLKNN [32]

0.5134

0.9034

0.4802

LNSM-SMI [32]

0.5476

0.8986

0.5053

LNSM-CMI [32]

0.5329

0.9091

0.4909

KG-SIM-PROP [44]

0.4895

0.8860

0.4295

  1. The best performance for each evaluation metric is showed in boldface