Churn Prediction in Telecommunications Industry. A Study Based on Bagging Classifiers
نویسندگان
چکیده
Churn rate refers to the proportion of contractual customers who leave a supplier during a given time period. This phenomenon is very common in highly competitive markets such as telecommunications industry. In a statistical setting, churn can be considered as an outcome of some characteristics and past behavior of customers. In this paper, churn prediction is performed considering a real dataset of an European telecommunications company. An appealing parallelized version of bagging classifiers is used leading to a substantial reduction of the classification error rates. The results are detailed discussed.
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