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Use a Classification Node to build a Decision Tree (DT) model. DT does not support nested data, as explained in Data for DT Models.
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 a DT model using a Test Node. For more information, see Testing Classification Models.
After you build and test a DT model, you can tune it as described in Testing Classification Models.
To apply a model, use an Apply Node.