Figure 2.

Performance evaluation of various models. (1) A and B show AUC and AUPR were achieved by our proposed BGF-CMAP. A. AUC was obtained by summing the areas under panel A plotting the ROC curve. B. AUPR refers to the area under the curve enclosed by precision and recall. (2) C. Comparison of prediction capability of diverse tactics. (3) D. Results of 5-fold CV acquired by different classifier models. (4) E and F show AUC and AUPR were achieved by the LAP method. E. ROC curves yielded by the results of LAP on the dataset using 5-fold CV. F. AUPR yielded by the results of LAP on the dataset using 5-fold CV.