1 publication

• Published Subscription 12 Jun 2023

  Customer Churn Prediction in Life Insurance

  By Ninad Rao, Shalaka Waghamale, V. Krishnasubramaniam, Shanta Sondur

  Abstract: In order to forecast customer churn and keep consumers, life insurance firms frequently struggle to use their data efficiently. New opportunities have emerged for tackling this problem due to advancements in categorization models within the field of machine learning. In this study, we suggest an innovative method that uses machine learning classification models to forecast client churn and boost customer retention rates in the life insurance sector. Our proposed system …

  Published in E-Commerce for Future & Trends · Vol. 10, Issue 1, 2023 · pp. 23–34 Read article →