Fig. 2.

Estimates of AUC-ROC and AUC-PR for the proposed approach under balanced (a) and imbalanced (b) situations. Ten different bars represent ten different subsets, where each subset was drawn at random from the original data and AUC-ROC/AUC-PR was computed over fivefold of the cross validation