Genetic Programming Decision Tree for Bankruptcy Prediction
- Wo-Chiang Lee 0
- Corresponding Author
- Wo-Chiang Lee
0AI-Econ Research Group
- https://doi.org/10.2991/jcis.2006.8How to use a DOI?
- Financial distress model, decision tree, GP decision tree
- In this paper, we apply the CART ,C5.0 , GP decision tree classifiers and compares with logic model and ANN model for Taiwan listed electronic companies bankruptcy prediction. Results reveal that the GP decision tree can outperform all the classifiers either in overall percentage of correct or k-fold cross validation test in out sample. That is to say, GP decision tree model have the highest accuracy and lowest expected misclassification costs. It can provide an efficient alternative to discriminates financial distress problems in Taiwan.
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Cite this article
TY - CONF AU - Lee, Wo-Chiang DA - 2006/10/05 TI - Genetic Programming Decision Tree for Bankruptcy Prediction BT - 9th Joint International Conference on Information Sciences (JCIS-06) PB - Atlantis Press SN - 1951-6851 UR - https://doi.org/10.2991/jcis.2006.8 DO - https://doi.org/10.2991/jcis.2006.8 ID - Lee2006 ER -