Integrating Selective Pre-processing of Imbalanced Data with Ivotes Ensemble

  title={Integrating Selective Pre-processing of Imbalanced Data with Ivotes Ensemble},
  author={Jerzy Blaszczynski and Magdalena Deckert and Jerzy Stefanowski and Szymon Wilk},
In the paper we present a new framework for improving classifiers learned from imbalanced data. This framework integrates the SPIDER method for selective data pre-processing with the Ivotes ensemble. The goal of such integration is to obtain improved balance between the sensitivity and specificity for the minority class in comparison to a single classifier combined with SPIDER, and to keep overall accuracy on a similar level. The IIvotes framework was evaluated in a series of experiments, in… CONTINUE READING
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