Abstract
This paper describes a new tool for the study of relationships between the cost (depth, average depth, number of nodes, etc.) and uncertainty of decision trees, which is closely connected with accuracy of trees. In addition to the algorithm the paper also presents the experimental results of application of our algorithm on some of the datasets acquired from UCI ML Repository [1].
Original language | English (US) |
---|---|
Title of host publication | Rough Sets and Current Trends in Computing - 8th International Conference, RSCTC 2012, Proceedings |
Editors | JingTao Yao, Yan Yang, Roman Slowinski, Salvatore Greco, Huaxiong Li, Sushmita Mitra, Lech Polkowski |
Publisher | Springer Verlag |
Pages | 190-197 |
Number of pages | 8 |
ISBN (Print) | 9783642321146 |
DOIs | |
State | Published - 2012 |
Event | 8th International Conference on Rough Sets and Current Trends in Computing, RSCTC 2012 - Chengdu, China Duration: Aug 17 2012 → Aug 20 2012 |
Publication series
Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
---|---|
Volume | 7413 LNAI |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Conference
Conference | 8th International Conference on Rough Sets and Current Trends in Computing, RSCTC 2012 |
---|---|
Country/Territory | China |
City | Chengdu |
Period | 08/17/12 → 08/20/12 |
Bibliographical note
Publisher Copyright:© Springer-Verlag Berlin Heidelberg 2012.
Keywords
- Cost functions
- Decision trees
- Uncertainty measure
ASJC Scopus subject areas
- Theoretical Computer Science
- General Computer Science