Balancing the Imbalance: SMOTE and Synthetic Data Face Off
Imbalanced datasets skew ML models, hurting minority class performance. SMOTE interpolates minority samples, while synthetic data (GANs, VAEs) offers broader solutions. Compare strengths, weaknesses, and use cases—choose SMOTE for simplicity or synthetic data for privacy, scalability, and realism.
