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Table 5 The comparison results of MLMDA model and \(F_{sim}\) feature model based on fivefold cross validation

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

Testing set

Accuracy (%)

Recall (%)

Precision (%)

F1-score (%)

1

79.81

83.73

77.66

80.58

2

79.19

85.92

75.74

80.51

3

79.42

87.81

75.20

81.01

4

79.03

84.82

76.03

80.18

5

79.45

85.80

76.13

80.68

Average

79.38 ± 0.29

85.61 ± 1.51

76.15 ± 0.91

80.59 ± 0.58