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 |