How do you handle imbalanced classification problems?

Imbalance needs the right metrics and training strategy. Approaches: - Use PR-AUC, precision/recall, and cost-based evaluation - Resample (SMOTE, undersampling) - Class weights / focal loss - Threshold tuning Always validate on a realistic test set and confirm improvements match business costs.