Predicting Customer Churn

This project is for predicting the customer churn of a telecommunication company. The main method used is Stacked Generalization.
David H. Wolpert (1992), “Stacked Generalization,” Neural Networks, 5.2 (505), 241–59.

The dataset that is used comes from the paper by:
Lemmens, A., & Croux, C. (2006). Bagging and boosting classification trees to predict churn. Journal of Marketing Research, 43(2), 276-286.