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Receiver operating characteristic (ROC) curves for (A) the support vector machines (SVM) and (B) the decision tree (DT) classifiers. In both models, the area under the curve (AUC) values (0.5 < AUC < 1) show that the classifiers have some predictive power above “chance” to distinguish between the positive class values from the negative class values. The gray area indicates ±1 SD calculated from 10-fold cross-validation.
