The Receiver Operating Characteristic (ROC) Curve is a graphical representation used to assess the performance of a binary classification model by plotting the true positive rate against the false positive rate at various threshold settings. It provides insights into the trade-offs between sensitivity and specificity, and the area under the ROC curve (AUC) is often used as a summary measure of the model's ability to distinguish between classes.