• Groups
• nz.ac.waikato.cms.weka
• bestFirstTree
• 1.0.2

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.

'nz.ac.waikato.cms.weka:bestFirstTree:1.0.2'

<dependency>
	<groupId>nz.ac.waikato.cms.weka</groupId>
	<artifactId>bestFirstTree</artifactId>
	<version>1.0.2</version>
</dependency>

<dependency org="nz.ac.waikato.cms.weka" name="bestFirstTree" rev="1.0.2"/>

"nz.ac.waikato.cms.weka", "bestFirstTree", "1.0.2"

Dependencies

Compile dependencies

• nz.ac.waikato.cms.weka » weka-dev » [3.7.2,)

Test dependencies

• junit » junit » 3.8.2