Explain Core Classification Metrics

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Problem

Scenario

You are reviewing a classification model and the team keeps referring to precision, recall, F1-score, and ROC-AUC. You need to explain what each metric means and when each one matters.

Question

What are precision, recall, F1-score, and ROC-AUC?