Corporate default risk prediction using decision tree, random forest and gradient boosted models / Nur Sabrina Shamsul, Fayyadh Izzuddin Ahmad Shah and Nurul Zahidah Ridzuan
Predicting a corporate default is essential to avoid failure in business operations. Default is said as an unpredicted event that may cause a failure in paying debts on time. This study aims to predict the default and non-default of corporations using Decision Tree (DT), Random Forest (RF) and Gradi...
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| Main Authors: | , , |
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| Format: | Student Project |
| Language: | English |
| Published: |
2023
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| Subjects: | |
| Online Access: | https://ir.uitm.edu.my/id/eprint/93504/1/93504.pdf https://ir.uitm.edu.my/id/eprint/93504/ |
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