logo bestFirstTree

Class for building a best-first decision tree classifier. This class uses binary split for both nominal and numeric attributes. For missing values, the method of 'fractional' instances is used. For more information, see: Haijian Shi (2007). Best-first decision tree learning. Hamilton, NZ. Jerome Friedman, Trevor Hastie, Robert Tibshirani (2000). Additive logistic regression : A statistical view of boosting. Annals of statistics. 28(2):337-407.

homepage: weka.sourceforge.net/doc.packages/bestFirstTree
fresh index:
last release: 2 years ago, first release: 4 years ago
packaging: jar
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