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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