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Machine Learning for Bank Deposit Prediction by nguyenhoangphuongne is a document available to read on EtoBox.
What is Machine Learning for Bank Deposit Prediction about?
The paper explores the application of various supervised machine learning algorithms to predict bank term deposit subscriptions, addressing challenges banks face in identifying target customers. Five algorithms—Naïve Bayes, Decision Tree, Random Forest, Support Vector Machine, and Neural Network—are compared for their predictive performance using a dataset from a European bank. The study aims to enhance understanding of customer behavior and improve marketing strategies through effective predictive modeling
- Author
- nguyenhoangphuongne
- Language
- EN