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.

(based on WEKA 3.7)

For further options, click the 'More' - button in the dialog.

All weka dialogs have a panel where you can specify classifier-specific parameters.