Bank Churn Prediction Using Random Forest and Logistic Regression

S. X. Du

doi:10.2991/978-94-6463-546-1_2

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Bank Churn Prediction Using Random Forest and Logistic Regression

S. X. Du

Year: 2024 Advances in economics, business and management research/Advances in Economics, Business and Management Research Pages: 4-10 Publisher: Atlantis Press

DOI: 10.2991/978-94-6463-546-1_2

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Keywords:

Random forest Logistic regression Logistic model tree Regression Computer science Statistics Geography Artificial intelligence Mathematics Machine learning

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Topics

Customer churn and segmentation

Social Sciences → Business, Management and Accounting → Marketing

Financial Distress and Bankruptcy Prediction

Social Sciences → Business, Management and Accounting → Accounting

Stock Market Forecasting Methods

Social Sciences → Decision Sciences → Management Science and Operations Research

Bank Churn Prediction Using Random Forest and Logistic Regression

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