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Table 7 The comparison results of MLMDA model, descriptor MLMDA_ds model and descriptor MLMDA _sim model by Random forest classifier

From: MLMDA: a machine learning approach to predict and validate MicroRNA–disease associations by integrating of heterogenous information sources

Descriptor

Accuracy (%)

Recall (%)

Precision (%)

F1-score (%)

AUC (%)

MLMDA _ds

78.58

78.30

78.76

78.51

82.50

MLMDA _sim

79.38

85.61

76.15

80.59

89.60

MLMDA

83.77

78.82

87.68

82.90

91.72

  1. MLMDA obtains the highest value in the evaluation criteria (italics)