Naive Bayes Classifier

What's that?

  • could also be named “independent feature model”

Good explanations quoted


In simple terms, a naive Bayes classifier assumes that the presence or absence of a particular feature is unrelated to the presence or absence of any other feature, given the class variable. For example, a fruit may be considered to be an apple if it is red, round, and about 3” in diameter. A naive Bayes classifier considers each of these features to contribute independently to the probability that this fruit is an apple, regardless of the presence or absence of the other features.

Source: Wikipedia

Video #1

this video explains why it is called “naive” + why it is called “Bayes”

Video #2

 
public/naive_bayes_classifier.txt · Last modified: 2014/01/20 17:15 (external edit) · []
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