A grid search optimized extreme learning machine approach for customer churn prediction
Tuncay Özcan (tozcan@itu.edu.tr)
A grid search optimized extreme learning machine approach for customer churn prediction
Abstract
Customers' behaviors such as tendencies, loyalty status, satisfaction criteria show an alteration day by day due to the changing world. So, these behavior changes should be analyzed very well in every step of the decision-making process. Customer churn analysis is the determination of customers who tend to leave by analyzing the customer data with various methods before this situation occurs....
