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The Naive Bayes (NB) algorithm is used to build Classification models. You can build, test, apply, and tune a Naive Bayes model.
To build an NB model, use a Classification Node. By default, a Classification Node tests all models that it builds. The test data is created by splitting the input data into build and test subsets.
To test an NB model, you can also use a Test Node.
To apply an NB model to new data, use an Apply Node.
To tune an NB model, see "Tuning Classification Models" for more information. After building and testing an NB model, you can tune the NB model.
The following topics describe Naive Bayes: