Figure 4. ROC curves for the predictive performance of different cost sensitive classifiers.

ROC plot depicts a relative trade-off between true positive rate and false positive rate of the predictions. The diagonal value represents a completely random guess. The corresponding scalar values of area under curve are given as auROC in table 4.