Article ID Journal Published Year Pages File Type
6905795 Applied Soft Computing 2014 6 Pages PDF
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.
Related Topics
Physical Sciences and Engineering Computer Science Computer Science Applications
Authors
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