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Random Forests

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Data Mining with Rattle and R

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

Abstract

Building a single decision tree provides a simple model of the world, but it is often too simple or too specific. Over many years of experience in data mining, it has become clear that many models working together are better than one model doing it all. We have now become familiar with the idea of combining multiple models (like decision trees) into a single ensemble of models (to build a forest of trees).

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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). Random Forests. In: Data Mining with Rattle and R. Use R. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-9890-3_12

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