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Banking customer churn prediction using random forest based on Smote and Adasyn approach
Tạp chí Phát triển và Hội nhậpCustomer Churn is now becoming a significant problem in the banking sector. It is necessary to seek solutions to predict the rate of customer churn in banks; however, the dataset for customer churn prediction in banks is imbalanced.
Cong Thanh Tran
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Bagging and boosting classification trees to predict churn. [PDF]
In this paper, bagging and boosting techniques are proposed as performing tools for churn prediction. These methods consist of sequentially applying a classification algorithm to resampled or reweigthed versions of the data set. We apply these algorithms
Croux, Christophe, Lemmens, Aurélie
core
Health Services Research, Volume 61, Issue 2, Page 1-7, April 2026.ABSTRACTObjectiveTo examine changes in children's Medicaid and CHIP enrollment during the Families First Coronavirus Response Act unwinding and assess whether CHIP enrollment offsets Medicaid declines.Study Setting and DesignWe used linear probability models with monthly indicators to estimate changes in enrollment from April 2023 to September 2024 ...
Erica L. Eliason +2 more
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Corporate ESG Profiles and Investor Horizons
The Journal of Finance, Volume 81, Issue 2, Page 603-642, April 2026.ABSTRACT We find that long‐term institutional investors tilt their portfolios toward firms with better Environmental, Social, and Governance (ESG) profiles, in the cross sections of both institutional investor portfolios and the ownership of firms. We test whether several theoretically motivated mechanisms can explain this relationship.
LAURA T. STARKS, PARTH VENKAT, QIFEI ZHU
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An Analytical Study of a Structured Overlay in the presence of Dynamic Membership [PDF]
, 2005 In this paper, we present a complete analytical study of dynamic membership (aka churn) in structured peer-to-peer networks. We use a master-equation-based approach, which is used traditionally in non-equilibrium statistical mechanics to describe ...
Aurell, Erik +3 more
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Intangibles and Industry Concentration: A Cross‐Country Analysis
Oxford Bulletin of Economics and Statistics, Volume 88, Issue 2, Page 258-274, April 2026.ABSTRACT This paper presents new evidence on the growing scale of large businesses in the United States, Japan and 11 European countries. It documents a broad increase in industry concentration across the majority of countries and sectors over the period 2002–2017.
Matej Bajgar +2 more
wiley +1 more source
Tree Boosting Data Competitions with XGBoost [PDF]
, 2017 This Master's Degree Thesis objective is to provide understanding on how to approach a supervised learning predictive problem and illustrate it using a statistical/machine learning algorithm, Tree Boosting.
Bort Escabias, Carlos
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Review of Data Mining Techniques for Churn Prediction in Telecom
Journal of Information and Organizational Sciences, 2015 Telecommunication sector generates a huge amount of data due to increasing number of subscribers, rapidly renewable technologies; data based applications and other value added service.
Vishal Mahajan +2 more
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JUTI: Jurnal Ilmiah Teknologi Informasi, 2010 Churn prediction adalah suatu cara untuk memprediksi pelanggan yang berpotensial untuk churn. Data mining khususnya klasifikasi tampaknya dapat menjadi alternatif solusi dalam membuat model churn prediction yang akurat.
Fernandy Marbun +2 more
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Social Sciences and Humanities OpenCustomer churn directly leads to the weakening of the economic efficiency of an operator and even the loss of its competitive advantage in the market share. The identification and prediction of customer churn in the era of interconnection has become more
Liu Kun +2 more
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