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Table 4 The comparison results of MLMDA model, SVM model and DT model on HMDD v3.0 dataset

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

Model Accuracy (%) Recall (%) Precision (%) F1-score (%) AUC (%)
SVM 81.47 79.50 81.88 80.66 87.01
DT 78.17 84.75 74.91 79.52 78.17
MLMDA 83.77 78.82 87.68 82.90 91.72
  1. MLMDA obtains the highest value in the evaluation criteria (italics)