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Factors like call duration, frequency of calls, payment history, customer service interactions can predict user churn. Logistic Regression model is best suited.
Call duration: Longer calls may indicate higher satisfaction and lower likelihood of leaving.
Frequency of calls: Higher frequency may indicate engagement and loyalty.
Payment history: Timely payments may indicate commitment to the service.
Customer service interac...
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