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