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Table 7 The comparison results of MLMDA model, descriptor MLMDA_ds model and descriptor MLMDA _sim model by Random forest classifier

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

Descriptor Accuracy (%) Recall (%) Precision (%) F1-score (%) AUC (%)
MLMDA _ds 78.58 78.30 78.76 78.51 82.50
MLMDA _sim 79.38 85.61 76.15 80.59 89.60
MLMDA 83.77 78.82 87.68 82.90 91.72
  1. MLMDA obtains the highest value in the evaluation criteria (italics)