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Boosting

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Data Mining with Rattle and R

Part of the book series: Use R ((USE R))

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Abstract

The Boosting meta-algorithm is an eficient, simple, and easy-touse approach to building models. The popular variant called AdaBoost (an abbreviation for adaptive boosting) has been described as the \best off-the-shelf classifier in the world" (attributed to Leo Breiman by Hastie et al. (2001, p. 302)).

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Correspondence to Graham Williams .

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© 2011 Springer Science+Business Media, LLC

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Williams, G. (2011). Boosting. In: Data Mining with Rattle and R. Use R. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-9890-3_13

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