This paper presents a new tool for the study of relationships between the total path length or the average depth and the number of misclassifications for decision trees. In addition to algorithm, the paper also presents the results of experiments with datasets from UCI ML Repository  and datasets representing Boolean functions with 10 variables.
ASJC Scopus subject areas
- Computational Theory and Mathematics
- Algebra and Number Theory
- Theoretical Computer Science
- Information Systems