Comparative Analysis of Several Models for Churning Customer Prediction
Customer churn prediction is critical for financial institutions to retain clients and optimize resource allocation. It is less expensive to keep current clients than to find new ones. There lots of research in this field, but their performance is often limited by data imbalance issues. This study c...
Saved in:
Main Author: | Tan Zhaoyuan |
---|---|
Format: | Article |
Language: | English |
Published: |
EDP Sciences
2025-01-01
|
Series: | SHS Web of Conferences |
Online Access: | https://www.shs-conferences.org/articles/shsconf/pdf/2025/09/shsconf_icdde2025_02013.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Research on Customer Churn Prediction Using Machine Learning Models
by: Jia Xiaolei
Published: (2025-01-01) -
A comprehensive survey on customer churn analysis studies
by: Maryam Shahabikargar, et al.
Published: (2025-07-01) -
Customer Churn Prediction Pada Sektor Perbankan Dengan Model Logistic Regression dan Random Forest
by: Ely Mufida, et al.
Published: (2025-01-01) -
Customer-Centric Decision-Making with XAI and Counterfactual Explanations for Churn Mitigation
by: Simona-Vasilica Oprea, et al.
Published: (2025-06-01) -
A Comprehensive Evaluation of Machine Learning and Deep Learning Models for Churn Prediction
by: Nabil M. AbdelAziz, et al.
Published: (2025-06-01)