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Which technique handles class imbalance by generating synthetic minority samples?
- Undersampling
- Oversampling
- SMOTE
- Class Weighting
Answer: SMOTE
SMOTE (Synthetic Minority Over-sampling Technique) creates synthetic examples by interpolating between minority class neighbors. Improves classifier performance on imbalanced data vs simple oversampling.