Determining the credit worthiness of retail banking customer by machine learning technique

This research project conducts a comparative analysis of statistical and machine learning models for credit risk assessment, focusing on their performance in the context of imbalanced datasets common in loan default prediction. Traditional statistical models and advanced machine learning algorith...

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Bibliographic Details
Main Author: Peng, Yangling
Other Authors: Wong Kin Shun, Terence
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2024
Subjects:
Online Access:https://hdl.handle.net/10356/176996
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Institution: Nanyang Technological University
Language: English
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