Bayesian Classifier (How many features is best ?)

A Bayesian Classifier for answering the question: "does more features always mean higher accuracy?"
Updated 8 Apr 2017

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In machine learning, is it always true that you will achieve higher classification accuracy if you use more features ? In other words, does more features always mean higher accuracy ?
This is the question that I'm going to analyze and answer in my blog post: I hope you find it useful. Please let me know if you have any questions in the comments, I will be happy to answer.
For that we will use the Skin Segmentation Dataset (Rajen Bhatt, Abhinav Dhall, UCI Machine Learning Repository) and the Naive Bayesian Classifier. I implement the Bayesian classifier, and no libraries or Toolboxes are used.

Cite As

Hesham Eraqi (2024). Bayesian Classifier (How many features is best ?) (, MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R14
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