Tag: strategies

Data Balancing Strategies: A Survey of Resampling and Augmentation Methods arXiv:2505.13518v1 Announce Type: new Abstract: Imbalanced data poses a significant obstacle in machine learning, as an unequal distribution of class labels often results in skewed predictions and diminished model accuracy. To mitigate this problem, various resampling strategies have been developed, encompassing both oversampling and undersampling…