Credit Risk Prediction for Peer-To-Peer Lending Platforms: An Explainable Machine Learning Approach
Journal article
Authors | Swee, C.P., Labadin, J. and Meziane, F. |
---|---|
Abstract | Small and medium enterprises face the challenge of obtaining start-up fund due to the strict rules |
Keywords | Credit Risk Evaluation,; Peer-to-Peer Lending; Logistic Regression; Explainable Machine Learning; Explainable AI |
Year | 2022 |
Journal | Journal of Computing and Social Informatics |
Journal citation | 1 (2), pp. 1-16 |
Publisher | UNIMAS - Universiti Malaysia Sarawak |
ISSN | 2821-3777 |
Digital Object Identifier (DOI) | https://doi.org/10.33736/jcsi.4761.2022 |
Web address (URL) | https://publisher.unimas.my/ojs/index.php/jcsi/article/view/4761 |
Accepted author manuscript | License File Access Level Open |
Publisher's version | License File Access Level Open |
Output status | Published |
Publication dates | |
Online | 19 Sep 2022 |
Publication process dates | |
Accepted | 2022 |
Deposited | 23 Sep 2022 |
https://repository.derby.ac.uk/item/998y5/credit-risk-prediction-for-peer-to-peer-lending-platforms-an-explainable-machine-learning-approach
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Accepted author manuscript
J41 - JCSI - 2022.pdf | ||
License: CC BY-NC-SA 4.0 | ||
File access level: Open |
Publisher's version
J41 - JCSI - 2022.pdf | ||
License: CC BY-NC-SA 4.0 | ||
File access level: Open |
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