The Receiver Operating Characteristic (ROC) Curve is a graphical plot that illustrates the diagnostic ability of a binary classifier system as its discrimination threshold is varied, allowing for the visualization of the trade-off between sensitivity and specificity. The area under the ROC curve (AUC) provides a single scalar value to assess the overall performance of the model, with a value of 1 indicating perfect classification and 0.5 representing random guessing.