The Naive Bayes Classifer – Machine Learning, Engine Implementation Introduction

The Naive Bayes Classifer

We can read in Wikipedia :

A Naive Bayes Classifier is a simple probabilistic classifier based on applying Bayes’ theorem (from Bayesian statistics) with strong (naive) independence assumptions. A more descriptive term for the underlying probability model would be “independent feature model”.

More info:

Source code:

Class diagrams:

  • Target Object


  • Category

  • Classifer

  • DataLoader

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