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For evaluating models on imbalanced data in rare disease settings, which evaluation metric should be given the highest priority?
①Emphasize only simple accuracy.
②Make the false positive rate the sole metric.
③Compare using only the value of the cross-entropy loss.
④Use only ROC AUC.
⑤Use metrics that are robust to class imbalance, such as measures combining precision and recall or the PR AUC.