https://github.com/aceveggie/Naive-Bayes

A Naive Bayes Classifier in Python
https://github.com/aceveggie/Naive-Bayes

Last synced: 1 day ago
JSON representation

A Naive Bayes Classifier in Python

• Host: GitHub
• URL: https://github.com/aceveggie/Naive-Bayes
• Owner: aceveggie
• Created: 2012-05-28T20:28:07.000Z (over 12 years ago)
• Default Branch: master
• Last Pushed: 2012-09-06T14:08:23.000Z (about 12 years ago)
• Last Synced: 2024-08-02T05:12:25.082Z (3 months ago)
• Language: Python
• Size: 84 KB
• Stars: 4
• Watchers: 3
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README

Awesome Lists containing this project

README

        
This project is a Naive-Bayes classifier written in python. 

Naive Bayes classifier is a supervised learning technique based on Bayes Theorem.

It assumes all features of a feature vector to be independent of each other.

The feature vector belongs to the class which has maximum posterior probability:

Posterior Probability = (Likelihood * Prior Probability)/(Evidence)

Wikipedia Description:

"A naive Bayes classifier is a simple probabilistic classifier based on applying Bayes' theorem

with strong (naive) independence assumptions. A more descriptive term for the underlying

probability model would be "independent feature model".

THINGS TO DO:

1) LAPLACIAN SMOOTHING