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

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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書目詳細資料
主要作者:	Peng, Yangling
其他作者:	Wong Kin Shun, Terence
格式:	Final Year Project
語言:	English
出版:	Nanyang Technological University 2024
主題:	Engineering Machine learning
在線閱讀:	https://hdl.handle.net/10356/176996
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!

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