Naive Bayes

Naive Bayes is a classification algorithm based on Bayes' probability theorem and conditional independence hypothesis on the features. Given a set of m features, Naive Bayes, and a set of labels (classes) Naive Bayes, the probability of having label c (also given the feature set xi) is expressed by Bayes' theorem:

Naive Bayes

Here:

  • Naive Bayes is called the likelihood distribution
  • is ...

Get Machine Learning for the Web now with the O’Reilly learning platform.

O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.