Receiver-operating characteristic (ROC) analysis has proven to be a powerful method for dealing with misclassification costs and skewed class distributions (Provost & Fawcett, 1998). In the typical representation, an ROC analysis evaluates false accept versus false reject rates for a set of candidate binary classifiers under all possible (linear) cost and prior class distribution assumptions. T...