Abstract
This paper presents an algorithm to prune a tree classifier with a set of rules which are converted from a 04.5 classifier, where rule information is used as a pruning criterion. Rule information measures the goodness of a rule when discriminating labeled instances. Empirical results demonstrate that the proposed pruning algorithm has high predictive accuracy1. © Springer-Verlag Berlin Heidelberg 2005.
Cite
CITATION STYLE
Zhang, X., Luo, M., & Pi, D. (2005). Effective classifier pruning with rule information. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3735 LNAI, pp. 392–395). Springer Verlag. https://doi.org/10.1007/11563983_40
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