Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6905795 | Applied Soft Computing | 2014 | 6 Pages |
Abstract
- AdaBoost (adaptive boosting) is an appropriate model to judge the financial risk of Korean construction companies.
- We classified construction companies into three groups - large, middle, and small based on the capital of a company.
- We analyzed the predictive ability of the AdaBoost and other algorithms for each group of companies.
- The AdaBoost has more predictive power than others, especially for the large group of companies that has the capital more than 50 billion won.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
Junyoung Heo, Jin Yong Yang,