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Kim 2010 by wzcvictory2 is a document available to read on EtoBox.
What is Kim 2010 about?
The paper discusses the use of ensemble methods, specifically Bagging and Boosting, to enhance the performance of neural networks in bankruptcy prediction. Experimental results on Korean firms show that both bagged and boosted neural networks outperform traditional neural networks, demonstrating improved accuracy and reduced generalization error. The study highlights the importance of accuracy in bankruptcy prediction due to its significant economic implications.
- Author
- wzcvictory2
- Language
- EN