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Book Chapter

Ensemble Learning

  • Fernández A
  • García S
  • Galar M
  • et al.
Springer International Publishing, (2018), 147-196
DOI: 10.1007/978-3-319-98074-4_7
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Abstract

In this chapter existing ensemble solutions for the class imbalance problems are reviewed. In Data Science, classifier ensembles, that is, the combination of several classifiers into a single one, are known to improve the accuracy in comparison with the usage of a...

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Fernández, A., García, S., Galar, M., Prati, R. C., Krawczyk, B., & Herrera, F. (2018). Ensemble Learning. In Learning from Imbalanced Data Sets (pp. 147–196). Springer International Publishing. https://doi.org/10.1007/978-3-319-98074-4_7

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