Internal Code : 1AAJAB
Use SAS EM to develop and evaluate at least three predictive models for churn.
What are the important variables differentiating churned and not-churned customers?
What is the overall churn rate and the churn rate for various demographics and service groups (for example: senior, has_partner, has_phone, etc.)?
What are the predictive performances of various models and how they rank against one another? Drill down to various machine learning metrics (Accuracy, Precision, Recall, F1, ROC, Lift, etc.)
How do you best interpret the model?
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