Your question is Handling Class Imbalance. 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 do you approach the problem of class imbalance in datasets?
Discuss how you would diagnose the imbalance, select an appropriate mitigation strategy, and prevent leakage during model training. Explain how you would choose evaluation metrics and decision thresholds, including the tradeoffs between resampling, class weighting, and cost-sensitive learning.
