Naive-Bayes Model

A Naive-Bayes Model is a generative Bayesian model that assume each of the Class Densities are products of Marginal Densities (i.e. all the variables are independent).

• Context:
  • It can be the output of a Naive-Bayes Model Training System (that implements a naive-Bayes classifier).
  • …
• Counter-Example(s):
  • a Logistic Regression Function.
  • a Classification Tree.
• See: Bayes Rule, Independence Assumption.

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References

• http://www.dmg.org/v4-0-1/NaiveBayes.html

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