Average depth and number of misclassifications for decision trees

Igor Chikalov, Shahid Hussain, Mikhail Moshkov

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

This paper presents a new tool for the study of relationships between total path length or average depth and number of misclaficiations for decision trees. In addition to algorithm, the paper also presents the results of experiments with datasets from UCI ML Repository [1].

Original languageEnglish (US)
Pages (from-to)160-169
Number of pages10
JournalCEUR Workshop Proceedings
Volume928
StatePublished - 2012

ASJC Scopus subject areas

  • Computer Science(all)

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