A data science team is using Amazon SageMaker Autopilot to train a binary classification model on a healthcare dataset with severe class imbalance (positive class = 2%, negative = 98%). The team wants to ensure that the evaluation metric used favors the correct classification of the minority class. Which metrics should the team prioritize during model selection to handle the class imbalance effectively? (Select TWO.)