What problem does focal loss address?

Question: What is focal loss designed to address? A) Excessive memory use in decision trees B) Lack of differentiability in linear regression C) Class imbalance by down-weighting easy examples and focusing training on hard examples D) Overuse of batch normalization Correct: C Explanation: Focal loss modifies cross-entropy by reducing the contribution of easy, well-classified examples. This helps the model focus more on hard or minority-class examples. Topic: advanced ML / object detection / class imbalance