In a [[ROC curve]] the [[true positive]] rate ([[Sensitivity]]) is plotted in function of the [[false positive]] rate (100-Specificity) for different cut-off points of a parameter. ... The area under the ROC curve ( AUC ) is a measure of how well a parameter can distinguish between two diagnostic groups (diseased/normal).