Churn Prediction Models Using Gradient Boosted Tree and Random Forest Classifiers
Author:
Affiliation:
1. University of Computer Studies,Mandalay, Mandalay,Myanmar
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10181239/10181325/10181933.pdf?arnumber=10181933
Reference13 articles.
1. Customer Churn Prediction Modelling Based on Behavioural Patterns Analysis using Deep Learning
2. Training and Deploying Churn Prediction Model using Machine Learning Algorithms;basha;International Journal of Engineering Research in Computer Science and Engineering (IJERCSE),2018
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. A Comparison of Machine Learning Algorithms for Customer Churn Prediction;2023 6th International Conference on Advances in Science and Technology (ICAST);2023-12-08
2. Customer Churn Predictive Analysis in the Telecom Industry Using Random Forest Classifier;2023 Fourth International Conference on Smart Technologies in Computing, Electrical and Electronics (ICSTCEE);2023-12-08
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