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.
- Type: Data Training data
- Type: Weka 3.7 Classifier Trained model
Analytics > Mining > Weka > Weka (3.7) > Classification Algorithms > bayes
Make sure to have this extension installed: