# Survey of resampling techniques for improving classification performance in unbalanced datasets

arXiv: https://arxiv.org/abs/1608.06048 · HTML: https://mlsanity.com/paper/1608.06048/

## Key facts

- Cited by 33 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 22 Aug 2016.

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## Abstract (arXiv)

A number of classification problems need to deal with data imbalance between classes. Often it is desired to have a high recall on the minority class while maintaining a high precision on the majority class. In this paper, we review a number of resampling techniques proposed in literature to handle unbalanced datasets and study their effect on classification performance.