Instruction: Explain the concepts of precision and recall in the context of classification problems.
Context: This question tests the candidate's understanding of evaluation metrics for classification models.
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One example I would use is this: Precision tells you, out of the cases the model predicted as positive, how many were actually positive. Recall tells you, out of the truly positive cases, how many the model successfully found. They measure different failure modes, which...