Research on telecom industry customer churn prediction based on explainable machine learning models

In the telecom industry, accurate prediction of customer churn is crucial for the companies involved to maintain market competitiveness and increase revenue. To this end, a customer churn prediction framework combining CatBoost algorithm and SHAP model was proposed, aiming to improve the accuracy of...

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Bibliografische gegevens

Hoofdauteurs:	WANG Shengjie, ZHANG Qinghong
Formaat:	Artigo
Taal:	Chinês
Gepubliceerd in:	Beijing Xintong Media Co., Ltd 2024-07-01
Reeks:	Dianxin kexue
Onderwerpen:	machine learning;CatBoost algorithm;SHAP;predictive model;telecom industry
Online toegang:	http://www.telecomsci.com/thesisDetails#10.11959/j.issn.1000-0801.2024166
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