Fig. 3

Receiver Operating Characteristic (ROC) and Precision-Recall curves of the different approaches. The figure shows ROC curves (Subplot a) and precision-recall curves (Subplot b) of the Association, MLE (fp = 0, fn = 0.9), DPEA, Bayesian (u _p , u _n  = 0, v _p , v _n  = 1, and α = 2, β = 2), and PE (r = 100 %, and pw threshold ≤ 0.01) approaches, respectively. Based on both ROC and precision-recall curves, the three MLE based approaches including DPEA, MLE and Bayesian outperform PE and Association. The Bayesian approach performs slightly better than DPEA and MLE