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Table 3 The performance of logistic regression algorithm on noise and noise-free data

From: ANMDA: anti-noise based computational model for predicting potential miRNA-disease associations

Data AUROC AUPR Precision Recall F1-score
Noise-free 0.9897 0.9892 0.9273 0.9450 0.9344
Noise 0.9647 0.9519 0.9039 0.9400 0.9204