Question: When might an ROC ( Receiver Operating Characteristic ) curve be preferred over other evaluationmetrics like accuracy or precision? When the goal is to minimize

When might an ROC (Receiver Operating Characteristic) curve be preferred over other evaluationmetrics like accuracy or precision?
When the goal is to minimize false negatives
When the model is overfitting
When the model has high bias
When the dataset is imbalanced

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