Survey of resampling techniques for improving classification performance in unbalanced datasets

Ajinkya More

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arXiv · 1608.06048

Survey of resampling techniques for improving classification performance in unbalanced datasets

Ajinkya More

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Abstract

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.

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Ajinkya More. 2016-08-22. Survey of resampling techniques for improving classification performance in unbalanced datasets. https://arxiv.org/abs/1608.06048

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