ComplementNaiveBayes
Package
weka.classifiers.bayes
Synopsis
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.
Options
The table below describes the options available for ComplementNaiveBayes.
Option |
Description |
|---|---|
debug |
If set to true, classifier may output additional info to the console. |
normalizeWordWeights |
Normalizes the word weights for each class. |
smoothingParameter |
Sets the smoothing parameter to avoid zero WordGivenClass probabilities (default=1.0). |
Capabilities
The table below describes the capabilites of ComplementNaiveBayes.
Capability |
Supported |
|---|---|
Class |
Nominal class, Missing class values, Binary class |
Attributes |
Missing values, Numeric attributes |
Min # of instances |
1 |