The Usage of Machine Learning Algorithms in Credit Evaluation Model
Credit scoring models are important tools for evaluating the credit status of individuals or businesses and play a significant role in the financial field. This study aims to suggest a prediction framework for credit evaluation model based on machine learning (ML) algorithms and explore the application principles and steps of combining credit scoring models, then provide an practical example to show the method for applying the model.In addition, the article also analyzes the issues that credit evaluation models should pay attention to in production practice at the end.
Authors
- Xiaoliang Ji (ORCID: https://orcid.org/0000-0002-9632-4063)
Publication Details
- Journal
- Frontiers in Business Economics and Management
- Published
- 2024-11-07
- DOI
- https://doi.org/10.54097/8yyhbc96
- Primary Topic
- Financial Distress and Bankruptcy Prediction
- Type
- article
- Field-Weighted Citation Impact
- 0.00