ROC Hard? No, ROC Made Easy!
A ROC (Receiver Operator Characteristic) curve shows how well two groups are separated by plotting the Sensitivity by 1 - Specificity. When used alone, the cut off used to balance the desired Sensitivity and Specificity is not shown. Furthermore the ROC curve does not display the interesting counts and percentages of the True Positives, True Negatives, False Positives, and False Negatives. The macro presented in this paper uses Graph Template Language (GTL) and the Statistical Graphics Engine (SGE) to quickly and easily create an informative graph that can be edited and which displays the Sensitivity and Specificity of the binary classifier.