Artificial Intelligence Review

, Volume 33, Issue 1, pp 1–39

Ensemble-based classifiers


DOI: 10.1007/s10462-009-9124-7

Cite this article as:
Rokach, L. Artif Intell Rev (2010) 33: 1. doi:10.1007/s10462-009-9124-7


The idea of ensemble methodology is to build a predictive model by integrating multiple models. It is well-known that ensemble methods can be used for improving prediction performance. Researchers from various disciplines such as statistics and AI considered the use of ensemble methodology. This paper, review existing ensemble techniques and can be served as a tutorial for practitioners who are interested in building ensemble based systems.


Ensemble of classifiers Supervised learning Classification Boosting 

Copyright information

© Springer Science+Business Media B.V. 2009

Authors and Affiliations

  1. 1.Department of Information System EngineeringBen-Gurion University of the NegevBeer-ShevaIsrael

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