Survey of resampling techniques for improving classification performance in unbalanced datasets

Ajinkya More

Survey of resampling techniques for improving classification performance in unbalanced datasets

Applications 2016-08-23 v1 Machine Learning Machine Learning

Authors: Ajinkya More

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.

Keywords

survey sampling semi-supervised learning multi-task learning

Cite

@article{arxiv.1608.06048,
  title  = {Survey of resampling techniques for improving classification performance in unbalanced datasets},
  author = {Ajinkya More},
  journal= {arXiv preprint arXiv:1608.06048},
  year   = {2016}
}

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