Customer Churn Prediction

D. Esther Rani, Chaitanya T, Jasmine Sk, Maheshwari T and Sai Geethika V

International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 2023, vol. 9, issue 3, 398-406

Abstract: Customers are becoming more drawn to the standard of service (QoS) offered by businesses in the present. However, the present day shows greater rivalry in offering clients technologically cutting-edge QoS. However, efficient communication systems may help the organization attract new clients, preserve client connections, and enhance client retention by generating more revenue for the company's operations. Additionally, the client retention methods can benefit greatly from the use of machine learning models like support vector machines and Random Forest algorithms.

Keywords: Supervised learning; Machine Learning; Random Forest Algorithm and Support Vector Machines. (search for similar items in EconPapers)
Date: 2023
Note: Article URL: https://ijsrcseit.com/CSEIT2390385
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