The Usage of Machine Learning Algorithms in Credit Evaluation Model
DOI:
https://doi.org/10.54097/8yyhbc96Keywords:
Machine learning algorithms, Credit evaluation models, Finance, Credit evaluation, Credit scoringAbstract
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.
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[1] Khalil, Abedalrazq , et al. "Applicability of statistical learning algorithms in groundwater quality modeling." Water Resources Research 41.5(2005): p.W05010.1-W05010.16.
[2] Rodriguez-Galiano, V., et al. "Machine learning predictive models for mineral prospectivity: An evaluation of neural networks, random forest, regression trees and support vector machines." Ore Geology Reviews (2015).
[3] Hirasawa, H., et al. "Evaluation of various machine learning methods to predict vision-related quality of life from visual field data and visual acuity in patients with glaucoma. " British Journal of Ophthalmology 98.9(2014):1230.
[4] Hutter, Frank, et al. "Algorithm Runtime Prediction: Methods & Evaluation." Artificial Intelligence 206. JAN. (2014): 79-111.
[5] Carter, et al. "Assessing Credit Card Applications Using Machine Learning." IEEE Expert (1987).
[6] Ekmekcioglu, Mehmet, T. Kaya, and K. Tokmakcioglu. "Predicting Sovereign Credit Ratings Using Machine Learning Algorithms." Springer, Cham (2023).
[7] Overes, Bart H. L., and M. V. D. Wel. "Modelling Sovereign Credit Ratings: Evaluating the Accuracy and Driving Factors using Machine Learning Techniques." Papers (2021).
[8] Frye, Jon, and E. A. Pelz. "BankCaR (Bank Capital-at-Risk): A Credit Risk Model for US Commercial Bank Charge-Offs." Social Science Electronic Publishing WP-08-03(2008).
[9] Zhang, Jiawei. "Big Data and Related Model Algorithms in Commercial Bank Credit Evaluation." BCP Business & Management (2023).
[10] Yao Yi and Ye Zhongxing Research on Bank Customer Credit Evaluation System Based on Support Vector Machine. Journal of System Simulation 16.4 (2004): 4.
[11] Ji Xiaoliang and Weng Yuling Research on Frequency Conversion Interest Change Recommendation Algorithm in the Background of Big Data. "Science and Technology Innovation and Application 20 (2020): 3.
[12] Zhang Mu and Zhou Zongfang Enterprise credit evaluation model based on multi-objective programming and support vector machine. "Collection of award-winning papers in the 3rd Guizhou Province Natural Science Excellent Academic Paper Selection (2010).
[13] Cui Yuanyuan Comparative Study of Personal Credit Rating Models Diss. Northern Institute of Technology, 2006.
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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
