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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.
http://weka.sourceforge.net/doc.packages/bestFirstTree
GNU General Public License 3
University of Waikato, Hamilton, NZ
Haijian Shi
binary numeric 2007 both tibshirani regression used instances nominal decision additive statistics statistical missing values more tree best fractional robert trevor information building friedman boosting class hastie logistic learning annals jerome classifier method uses split hamilton attributes view haijian first this 2000
Aggregated version Version Update time
1.0 1.0.4 Apr 27, 2014
1.0.3 Apr 26, 2012
1.0.2 Apr 24, 2012
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