Overlearning

Implementing churn prediction involves identifying the customers most likely to leave a company at the end of their contract, so as to be able to offer them a targeted retention package. In R, this problem is treated as a classification or class probability estimation task, since the objective is to predict a categorical variable (the customer leaves or stays).