Problem Statement:
Customer churn occurs when customers or subscribers stop doing business with a company or service, also known as customer attrition. It is also referred as loss of clients or customers. One industry in which churn rates are particularly useful is the telecommunications industry, because most customers have multiple options from which to choose within a geographic location.
Aim:
To predict the possibility of customer churn for the telecom industry
Methodology:
• This is a binary classification problem- whether a customer will churn- YES/NO
• The problem has been approached using the following ML models both on R and RapidMiner
Decision Trees
Logistic Regression
Random Forest
Naïve Bayes
Support Vector Machine
Neural Networks
• Finally, the best fit model is determined by comparing all the models using ROC and AUC