Skip to main content

Table 2 The performance of ANMDA, ABMDA, GBDT-LR and IRFMDA-100 in 100 times five-fold cross validation

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

Metrics ANMDA ABMDA GBDT-LR IRFMDA-100
AUROC 0.9373 ± 0.0005 0.9023 ± 0.0021 0.9246 ± 0.0010 0.9267 ± 0.0009
AUPR 0.9328 ± 0.0008 0.8879 ± 0.0032 0.9177 ± 0.0015 0.9222 ± 0.0012
Precision 0.8561 ± 0.0017 0.8213 ± 0.0033 0.8403 ± 0.0026 0.8447 ± 0.0021
Recall 0.8728 ± 0.0020 0.8371 ± 0.0044 0.8567 ± 0.0031 0.8598 ± 0.0025
F1-score 0.8643 ± 0.0014 0.8290 ± 0.0030 0.8484 ± 0.0021 0.8521 ± 0.0016