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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