Financial distress prediction using an improved particle swarm optimization wrapper feature selection method and tree boosting ensemble
Author:
Affiliation:
1. School of Computer and Artificial Intelligence, Beijing Technology and Business University, Beijing, China
2. School of Information Science and Technology, Beijing Foreign Studies University, Beijing, China
Funder
National Science Foundation of China
Beijing Social Science Foundation
R&D Program of Beijing Municipal Education Commission
Beijing Natural Science Foundation
Publisher
Informa UK Limited
Link
https://www.tandfonline.com/doi/pdf/10.1080/01605682.2024.2385467
Reference81 articles.
1. FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY
2. Financial Ratios As Predictors of Failure
3. No more black boxes! Explaining the predictions of a machine learning XGBoost classifier algorithm in business failure
4. Failure prediction of dotcom companies using hybrid intelligent techniques
5. A HYBRID MODEL FOR BUSINESS FAILURE PREDICTION – UTILIZATION OF PARTICLE SWARM OPTIMIZATION AND SUPPORT VECTOR MACHINES
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