Instruction: Explain the Receiver Operating Characteristic (ROC) curve and its usefulness.
Context: This question evaluates the candidate's understanding of ROC curves as a tool for evaluating the performance of binary classification models.
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The way I'd explain it in an interview is this: A ROC curve shows how a classifier behaves as you move the decision threshold. More specifically, it plots true positive rate against false positive rate across different thresholds. That makes it useful when...