Relationships between Depth and Number of Misclassifications for Decision Trees
This paper describes a new tool for the study of relationships between depth and number of misclassifications for decision trees. In addition to the algorithm the paper also presents the results of experiments with three datasets from UCI Machine Learning Repository .
Keywordsdecision trees depth number of misclassifications
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