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Data used for building a model must be properly prepared. Different algorithms have different input requirements. For example, Naive Bayes requires binned data.
ADP transforms the build data according to the requirements of the algorithm, embeds the transformation instructions in the model, and uses the instructions to transform the test or scoring data when the model is applied.
If you are connected to Oracle Database 12c, ADP prepares text data.