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An introduction to ensemble methods for data analysis
DOI:10.1177/0049124105283119.png)
摘要
En 中文
This article provides an introduction to ensemble statistical procedures as a special case of algorithmic methods. The discussion begins with classification and regression trees (CART) as a didactic device to introduce many of the key issues. Following the material on CART is a consideration of cross-validation, bagging, random forests, and boosting. Major points are illustrated with analyses of real data.
Keyword:
CART
data analysis
algorithmic methods
ensemble methods
期刊
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IF:
6.5
论文数:
1.2K
被引数:
8.6K
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