An AUC-ROC curve, or Area Under the Receiver Operating Characteristic curve, is a graphical representation of a binary classifier's performance. It plots the True Positive Rate (TPR) against the False Positive Rate (FPR) at various threshold settings. In the field of cancer detection, this curve is crucial for evaluating the accuracy of diagnostic tests and models.
