Bagging and Boosting Classification Trees to Predict Churn
نویسندگان
چکیده
منابع مشابه
Bagging and Boosting Classification Trees to Predict Churn
In this paper, bagging and boosting techniques are proposed as performing tools for churn prediction. These methods consist of sequentially applying a classification algorithm to resampled or reweigthed versions of the data set. We apply these algorithms on a customer database of an anonymous U.S. wireless telecom company. Bagging is easy to put in practice and, as well as boosting, leads to a ...
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ژورنال
عنوان ژورنال: Journal of Marketing Research
سال: 2006
ISSN: 0022-2437,1547-7193
DOI: 10.1509/jmkr.43.2.276