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nb-tan-classfiers

A program that implements both Naive Bayes and TAN (tree-augmented naive Bayes).##

  • This python program implements the Naive Bayes and TAN classifiers intended for binary classification.
  • Uses Prim Algorithm to construct the Maximal Spanning Tree in TAN.
  • Laplace estimates is used to calculate all probabilities.
  • The classifier can be tested on data sets used to predict lymphatic cancer included in the repo.
  • The file format expected for the training and testing data sets is ARFF : http://www.cs.waikato.ac.nz/ml/weka/arff.html
  • Usage : bayes <train-set-file> <test-set-file> <n|t>
    where n indicates Naive Bayes, t indicates TAN.

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