A model based on random forest algorithm and Jaya optimization to predict bank customer churn
Customer churn is a financial term that refers to the loss of a customer; Today, due the large number of banks , the loss of customers from one bank to another has become a serious concern for different banks. Therefore, in this article, which has been compiled for the customers of a bank , it is p...
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University of Qom
2024-03-01
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| Series: | مدیریت مهندسی و رایانش نرم |
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| Online Access: | https://jemsc.qom.ac.ir/article_2795_e65f1093eaab8c3197dc1183fc152522.pdf |
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| author | Sepideh Chehreh Ali Sarabadani |
| author_facet | Sepideh Chehreh Ali Sarabadani |
| author_sort | Sepideh Chehreh |
| collection | DOAJ |
| description | Customer churn is a financial term that refers to the loss of a customer; Today, due the large number of banks , the loss of customers from one bank to another has become a serious concern for different banks. Therefore, in this article, which has been compiled for the customers of a bank , it is possible to identify customers who have a high probability of falling by considering the behavior and characteristics of the customers before the fall occurs and to keep them by providing suggestions. In marketing, everyone agrees that keeping a customer is much less expensive than attracting a new customer, this article introduces the different phases of the approach of predicting customer churn with the help of machine learning. The proposed method is a combination of random forest algorithms and Jaya optimization, and customer dropout is based on different characteristics. Customer like age, Gender, graphs and cases It predicts more . The results of model in the article are 91.41%, 95.66% and 93.35% respectively in Precision , Recall and Accuracy criteria. |
| format | Article |
| id | doaj-art-19b6f73c14344fddb9d93482aeed5ec6 |
| institution | Kabale University |
| issn | 2538-6239 2538-2675 |
| language | fas |
| publishDate | 2024-03-01 |
| publisher | University of Qom |
| record_format | Article |
| series | مدیریت مهندسی و رایانش نرم |
| spelling | doaj-art-19b6f73c14344fddb9d93482aeed5ec62025-01-30T20:19:06ZfasUniversity of Qomمدیریت مهندسی و رایانش نرم2538-62392538-26752024-03-019213214810.22091/jemsc.2024.9541.11742795A model based on random forest algorithm and Jaya optimization to predict bank customer churnSepideh Chehreh0Ali Sarabadani1Ph.D. Student in information technology engineering specializing in multimedia systems, Faculty of Engineering and Technology, Qom University, Qom, Iran.Phd student of Information Technology (IT) Engineering, e-commerce , Department of Computer Engineering and Information Technology, Faculty of Technology and Engineering, Qom UniversityCustomer churn is a financial term that refers to the loss of a customer; Today, due the large number of banks , the loss of customers from one bank to another has become a serious concern for different banks. Therefore, in this article, which has been compiled for the customers of a bank , it is possible to identify customers who have a high probability of falling by considering the behavior and characteristics of the customers before the fall occurs and to keep them by providing suggestions. In marketing, everyone agrees that keeping a customer is much less expensive than attracting a new customer, this article introduces the different phases of the approach of predicting customer churn with the help of machine learning. The proposed method is a combination of random forest algorithms and Jaya optimization, and customer dropout is based on different characteristics. Customer like age, Gender, graphs and cases It predicts more . The results of model in the article are 91.41%, 95.66% and 93.35% respectively in Precision , Recall and Accuracy criteria.https://jemsc.qom.ac.ir/article_2795_e65f1093eaab8c3197dc1183fc152522.pdfcustomer churnmachine learningrandom forest algorithmsite optimization |
| spellingShingle | Sepideh Chehreh Ali Sarabadani A model based on random forest algorithm and Jaya optimization to predict bank customer churn مدیریت مهندسی و رایانش نرم customer churn machine learning random forest algorithm site optimization |
| title | A model based on random forest algorithm and Jaya optimization to predict bank customer churn |
| title_full | A model based on random forest algorithm and Jaya optimization to predict bank customer churn |
| title_fullStr | A model based on random forest algorithm and Jaya optimization to predict bank customer churn |
| title_full_unstemmed | A model based on random forest algorithm and Jaya optimization to predict bank customer churn |
| title_short | A model based on random forest algorithm and Jaya optimization to predict bank customer churn |
| title_sort | model based on random forest algorithm and jaya optimization to predict bank customer churn |
| topic | customer churn machine learning random forest algorithm site optimization |
| url | https://jemsc.qom.ac.ir/article_2795_e65f1093eaab8c3197dc1183fc152522.pdf |
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