9th Joint International Conference on Information Sciences (JCIS-06)

Genetic Programming Decision Tree for Bankruptcy Prediction

Authors
Wo-Chiang Lee 0
Corresponding Author
Wo-Chiang Lee
0AI-Econ Research Group
DOI
https://doi.org/10.2991/jcis.2006.8How to use a DOI?
Keywords
Financial distress model, decision tree, GP decision tree
Abstract
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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Proceedings
9th Joint International Conference on Information Sciences (JCIS-06)
Part of series
Advances in Intelligent Systems Research
Publication Date
October 2006
ISBN
978-90-78677-01-7
ISSN
1951-6851
DOI
https://doi.org/10.2991/jcis.2006.8How to use a DOI?
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  - 2006/10
DA  - 2006/10
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  - Lee2006/10
ER  -