Your question is Imbalanced Classification Metrics. Take a moment with it on the right.
Talk me through your thinking if you like. When you're confident, submit your answer and I'll grade it like a real screen (7/10 or better passes).
How would you handle a highly imbalanced dataset for a classification problem? Which evaluation metrics would you prioritize over accuracy to ensure the model detects the minority class effectively?