written report for Customer attrition (aka customer churn, defection, or turnover) is defined as the loss of customers by business over time. While customer attrition is a normal part of the customer life cycle, it is a key indicator of business health. Conventionally, it is believed that acquiring new customers is significantly more expensive than preventing the existing customer from churning out. Therefore, reducing customer attrition rate is one of the important objectives of many businesses. In this project you are helping a credit card business manager to reduce customer attrition by predicting customers who are likely to drop off. You use customer data to create a classification model to predict which customer might be churned. The business manager could proactively provide those customers with better services to turn their decisions in the opposite direction. Customer data includes some demographic information (gender, age, education level, and marital status), activity information, and credit information. The attrition status of a customer is indicated by the binary variable “Attrition_Flag”
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