complementNaiveBayes

Class for building and using a Complement class Naive Bayes classifier. For more information see: Jason D. Rennie, Lawrence Shih, Jaime Teevan, David R. Karger: Tackling the Poor Assumptions of Naive Bayes Text Classifiers. In: ICML, 616-623, 2003. P.S.: TF, IDF and length normalization transforms, as described in the paper, can be performed through weka.filters.unsupervised.StringToWordVector.

Homepage POM file JAR file Javadoc

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

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

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

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

Dependencies

Compile dependencies

nz.ac.waikato.cms.weka » weka-dev » [3.7.3,)

Test dependencies

junit » junit » 3.8.2
nz.ac.waikato.cms.weka » weka-dev » [3.7.3,)