Naive Bayes Algorithm

The Naive Bayes (NB) algorithm makes predictions using Bayes' Theorem, which derives the probability of a prediction from the underlying evidence. NB affords fast model build and apply.

NB assumes that each attribute, or piece of evidence, is independent from the others. In practice, this assumption usually does not degrade the model's predictive accuracy significantly.

For more information about NB, see the Oracle Data Mining Concepts manual in Where to Find More Information.