Home > Data Mining Algorithms > Anomaly Detection > Anomaly Detection Viewers a... > Association > AR Model Viewers and Algori... > Decision Tree > Expectation Maximization > EM Model Viewer and Algorit... > Generalized Linear Models > GLM Model Viewers and Algor... > k-Means > Naive Bayes
The Naive Bayes (NB) algorithm is used to build classification models.
Use a Classification Node to build an NB model. 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. You can also test an NB model using a Test Node. For more information, see Testing Classification Models.
Use an Apply Node to apply a NB model to new data.
After you build and test an NB model, you can tune it as described in Tuning Classification Models.
The following topics describe NB: