Article

Artificial Intelligence Review

, Volume 33, Issue 1, pp 1-39

First online:

Ensemble-based classifiers

  • Lior RokachAffiliated withDepartment of Information System Engineering, Ben-Gurion University of the Negev Email author 

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Abstract

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.

Keywords

Ensemble of classifiers Supervised learning Classification Boosting