What is AUC-ROC, and why is it important in classification tasks?

AUC-ROC is the Area Under the Receiver Operating Characteristic Curve. It measures the ability of a model to distinguish between positive and negative classes. AUC ranges from 0 to 1, where higher values indicate better model performance.