Naïve Bayes’ Classifier

PROBLEM

This problem is to be implemented in Matlab or Octave.

Background Reading: Tom Mitchel’s Machine Learning book, chapter 6 or new book chapter 1 at:  www.cs.cmu.edu/∼tom/mlbook.html

Dataset

Download the following data set to apply naïve bayes’ classifier.

Main script

  1. Read the dataset training.txt First 11 columns are features and the last column is the label.
  2. Generate your naïve bayes’ model using the training set.
  3. Determine the predictions on the test data given in testing.txt file

If you need the solution for this problem write down in the comment section below.

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