Uddin et al., 2022 - Google Patents
Leveraging random forest in micro‐enterprises credit risk modelling for accuracy and interpretabilityUddin et al., 2022
View PDF- Document ID
- 7850597465030938807
- Author
- Uddin M
- Chi G
- Al Janabi M
- Habib T
- Publication year
- Publication venue
- International Journal of Finance & Economics
External Links
Snippet
This paper applies the Random Forest (RF) method for the robust modelling of credit default prediction. This technique has been proven as an efficient classifier and can provide better interpretability in comparison to other classifiers. Using Chines micro‐enterprise credit data …
- 238000007637 random forest analysis 0 title abstract description 108
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- G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
- G06Q40/02—Banking, e.g. interest calculation, credit approval, mortgages, home banking or on-line banking
- G06Q40/025—Credit processing or loan processing, e.g. risk analysis for mortgages
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- G06Q10/00—Administration; Management
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