The ROC curve is a graphical representation of the true positive rate (sensitivity) versus the false positive rate (1-specificity) at various threshold settings. By plotting these rates, the ROC curve helps visualize the trade-offs between sensitivity and specificity for different thresholds of the diagnostic or predictive test.
