Comprehensive Evaluation of Bankruptcy Prediction in Taiwanese Firms Using Multiple Machine Learning Models

Comprehensive Evaluation of Bankruptcy Prediction in Taiwanese Firms Using Multiple Machine Learning Models

Bankruptcy prediction is a significant issue in finance because accurate predictions would enable stakeholders to act quickly to reduce their financial losses. This study developed an advanced bankruptcy prediction model using Support Vector Machines (SVM), Random Forest (RF), and Artificial Neural...

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Bibliographic Details
Main Authors: Hung V. Pham, Tuan Chu, Tuan M. Le, Hieu M. Tran, Huong T.K. Tran, Khanh N. Yen, Son V. T. Dao
Format: Article
Language:English
Published: Universitas Indonesia 2025-01-01
Series:International Journal of Technology
Subjects:
artificial neural networks
bankruptcy prediction
binary particle swarm
optimization random forest
synthetic minority oversampling technique (smote)
Online Access:https://ijtech.eng.ui.ac.id/article/view/7227
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https://ijtech.eng.ui.ac.id/article/view/7227

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