arXiv stat.ML
· Papers
Data Balancing Strategies: A Systematic Survey of Resampling and Augmentation Methods
arXiv:2505.13518v3 Announce Type: replace Abstract: Imbalanced datasets, where one class significantly outnumbers others, remain a persistent challenge in machine learning, often biasing predictions toward the majority class and degrading classifier performance. This paper provides a comprehensive, systematic review of