Energy services companies in various countries offer services like infrastructure outsourcing, energy supply, financing and risk management. The client is such an energy services company providing household energy services and provided us with a data that contains the general info and usage patterns of 5000 households. The client wants to develop an attrition model to predict probability of churn of a given customer and extract underlying patterns.
The data contains general user information such as age, education, family size etc., and specific information like the usage pattern, bill payment history, etc. The target is whether the customer churned out of the company. The attribute names are self-explanatory