Download all versions of bestFirstTree JAR files with all dependencies
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.
Artifact bestFirstTree
Group nz.ac.waikato.cms.weka
Version 1.0.4
Last update 27. April 2014
Tags: 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
Organization University of Waikato, Hamilton, NZ
URL http://weka.sourceforge.net/doc.packages/bestFirstTree
License GNU General Public License 3
Dependencies amount 1
Dependencies weka-dev,
There are maybe transitive dependencies!
Group nz.ac.waikato.cms.weka
Version 1.0.4
Last update 27. April 2014
Tags: 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
Organization University of Waikato, Hamilton, NZ
URL http://weka.sourceforge.net/doc.packages/bestFirstTree
License GNU General Public License 3
Dependencies amount 1
Dependencies weka-dev,
There are maybe transitive dependencies!
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.
Artifact bestFirstTree
Group nz.ac.waikato.cms.weka
Version 1.0.3
Last update 26. April 2012
Tags: 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
Organization University of Waikato, Hamilton, NZ
URL http://weka.sourceforge.net/doc.packages/bestFirstTree
License GNU General Public License 3
Dependencies amount 1
Dependencies weka-dev,
There are maybe transitive dependencies!
Group nz.ac.waikato.cms.weka
Version 1.0.3
Last update 26. April 2012
Tags: 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
Organization University of Waikato, Hamilton, NZ
URL http://weka.sourceforge.net/doc.packages/bestFirstTree
License GNU General Public License 3
Dependencies amount 1
Dependencies weka-dev,
There are maybe transitive dependencies!
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.
Artifact bestFirstTree
Group nz.ac.waikato.cms.weka
Version 1.0.2
Last update 23. April 2012
Tags: 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
Organization University of Waikato, Hamilton, NZ
URL http://weka.sourceforge.net/doc.packages/bestFirstTree
License GNU General Public License 3
Dependencies amount 2
Dependencies weka-dev, weka-dev,
There are maybe transitive dependencies!
Group nz.ac.waikato.cms.weka
Version 1.0.2
Last update 23. April 2012
Tags: 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
Organization University of Waikato, Hamilton, NZ
URL http://weka.sourceforge.net/doc.packages/bestFirstTree
License GNU General Public License 3
Dependencies amount 2
Dependencies weka-dev, weka-dev,
There are maybe transitive dependencies!
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