A data scientist is training a binary classification model using imbalanced data where the positive class is only 1% of the dataset. The scientist wants to maximize the recall for the positive class while maintaining reasonable precision. Which evaluation metric is most appropriate to tune during model selection?
Select one:
AWS often tests the misconception that AUC-ROC is always the best metric for imbalanced data, but th...