Abstract
This paper describes a new tool for the study of relationships between number of nodes and number of misclassifications for decision trees. In addition to the algorithm the paper also presents the results of experiments with datasets from UCI ML Repository [1].
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Chikalov, I., Hussain, S., Moshkov, M. (2012). Relationships between Number of Nodes and Number of Misclassifications for Decision Trees. In: Yao, J., et al. Rough Sets and Current Trends in Computing. RSCTC 2012. Lecture Notes in Computer Science(), vol 7413. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32115-3_25
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DOI: https://doi.org/10.1007/978-3-642-32115-3_25
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-32114-6
Online ISBN: 978-3-642-32115-3
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