Class Imbalance, Redux

  title={Class Imbalance, Redux},
  author={Byron C. Wallace and Kevin Small and Carla E. Brodley and Thomas A. Trikalinos},
  journal={2011 IEEE 11th International Conference on Data Mining},
Class imbalance (i.e., scenarios in which classes are unequally represented in the training data) occurs in many real-world learning tasks. Yet despite its practical importance, there is no established theory of class imbalance, and existing methods for handling it are therefore not well motivated. In this work, we approach the problem of imbalance from a probabilistic perspective, and from this vantage identify dataset characteristics (such as dimensionality, sparsity, etc.) that exacerbate… CONTINUE READING
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