Corporate default risk prediction using decision tree, random forest and gradient boosted models / Nur Sabrina Shamsul, Fayyadh Izzuddin Ahmad Shah and Nurul Zahidah Ridzuan

• Main Authors: Shamsul, Nur Sabrina, Ahmad Shah, Fayyadh Izzuddin, Ridzuan, Nurul Zahidah
• Format: Student Project
• Language: English
• Published: 2023
• Subjects: Dissertations, Academic. Preparation of theses
• Online Access: https://ir.uitm.edu.my/id/eprint/93504/1/93504.pdf; https://ir.uitm.edu.my/id/eprint/93504/

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...