We have evaluation dataset d for binary classifier

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We have an evaluation dataset D for a binary classifier. D consists of p positive samples and q negative samples and is extremely unbalanced (i.e., either p >> q or p << q). Shall we use P-R curve or ROC curve to report the evaluation with D and why?

Reference no: EM133295254

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