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bestFirstTree from group nz.ac.waikato.cms.weka (version 1.0.4)

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.

Group: nz.ac.waikato.cms.weka Artifact: bestFirstTree
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bestFirstTree from group nz.ac.waikato.cms.weka (version 1.0.3)

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.

Group: nz.ac.waikato.cms.weka Artifact: bestFirstTree
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Download bestFirstTree.jar (1.0.3)
 

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bestFirstTree from group nz.ac.waikato.cms.weka (version 1.0.2)

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.

Group: nz.ac.waikato.cms.weka Artifact: bestFirstTree
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