A NEW ALGORITHM FOR GENERATION OF DECISION TREES
Abstract
A new algorithm for development of quasi-optimal decision trees, based on the Bayes theorem, has been created and tested. The algorithm generates a decision tree on the basis of Bayesian belief networks, created prior to the formation of the decision tree. The efficiency of this new algorithm was compared with three other known algorithms used to develop decision trees. The data set used for the experiments was a set of cases of skin lesions, histopatologically verified.
Keywords:
artificial intelligence, supervised machine learning, decision trees, Bayes networksDetails
- Issue
- Vol. 8 No. 2 (2004)
- Section
- Research article
- Published
- 2004-06-30
- Licencja:
-
This work is licensed under a Creative Commons Attribution 4.0 International License.