Class Imbalance Trend 2026

Class imbalance refers to a skewed distribution of classes in a dataset, where one category significantly outnumbers others. It is addressed through resampling, algorithm adjustments, or cost-sensitive learning to improve model accuracy. Data scientists, machine learning engineers, and analysts benefit from handling imbalance, particularly in fraud detection, medical diagnosis, and rare-event prediction.