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Table 4 The comparison results of MLMDA model, SVM model and DT model on HMDD v3.0 dataset

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

Model

Accuracy (%)

Recall (%)

Precision (%)

F1-score (%)

AUC (%)

SVM

81.47

79.50

81.88

80.66

87.01

DT

78.17

84.75

74.91

79.52

78.17

MLMDA

83.77

78.82

87.68

82.90

91.72

  1. MLMDA obtains the highest value in the evaluation criteria (italics)
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Journal of Translational Medicine

ISSN: 1479-5876

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