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Chapter 4-5 by Daniel is a document available to read on EtoBox.

This chapter discusses the development and results of a customer churn prediction model using the CART algorithm applied to data from Primemars Supermarket. Key findings indicate that tenure, monthly charges, and payment methods are significant predictors of churn, with the model achieving an accuracy of 87%. The results provide actionable insights for management to enhance customer retention strategies.

Author
Daniel
Language
EN