ComplementNaiveBayes (3.7)


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.

Input Ports

  1. Type: Data Training data

Output Ports

  1. Type: Weka 3.7 Classifier Trained model

Find here

Analytics > Mining > Weka > Weka (3.7) > Classification Algorithms > bayes

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