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You are evaluating a classifier on an imbalanced dataset, where the positive class is rare and false negatives are much more costly than false positives. The team wants a single metric to report, but the model can look strong on one metric and weak on another depending on the threshold.
How do you choose the right metric for an imbalanced dataset?
