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Table 6 The comparison results of MLMDA model and \(SD\left( {d\left( a \right)} \right)\) with \(F_{seq}\) 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

78.07

77.59

78.35

77.97

2

78.59

76.17

80.05

78.06

3

78.57

77.89

78.98

78.43

4

79.15

80.45

78.42

79.42

5

78.52

79.42

78.02

78.71

Average

78.58 ± 0.38

78.30 ± 1.66

78.76 ± 0.79

78.51 ± 0.58

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Journal of Translational Medicine

ISSN: 1479-5876

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