Author:Haijian Shi
Category:Classification
Changes:Code clean-up: generic type arguments, elimination of FastVector, clean-up of option handling.
Date:2013-12-03
Depends:weka (>=3.7.11)
Description: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.
License:GPL 3.0
Maintainer:Weka team <wekalist{[at]}list.scms.waikato.ac.nz>
PackageURL:http://prdownloads.sourceforge.net/weka/bestFirstTree1.0.4.zip?download
URL:http://weka.sourceforge.net/doc.packages/bestFirstTree
Version:1.0.4