Genetic Programming Decision Tree for Bankruptcy Prediction
- Wo-Chiang Lee 0
- Corresponding Author
- Wo-Chiang Lee
0AI-Econ Research Group
Available Online undefined NaN.
- 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.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Wo-Chiang Lee PY - NaN/NaN DA - NaN/NaN TI - Genetic Programming Decision Tree for Bankruptcy Prediction BT - 9th Joint International Conference on Information Sciences (JCIS-06) PB - Atlantis Press UR - https://doi.org/10.2991/jcis.2006.8 DO - https://doi.org/10.2991/jcis.2006.8 ID - LeeNaN/NaN ER -