bestFirstTree

nz.ac.waikato.cms.weka

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.

Recommended: 1.0.4 3 versions jar Updated 12 years ago GNU General Public License 3Checking...
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Add to your project1.0.4

<dependency>
    <groupId>nz.ac.waikato.cms.weka</groupId>
    <artifactId>bestFirstTree</artifactId>
    <version>1.0.4</version>
</dependency>

Version Details — 1.0.4

Packaging
jar
Direct Deps
1
Total Deps
1
Published
Apr 27, 2014
License
GNU General Public License 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.

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