Classification Node

There are two ways to make classification predictions:

• By building and testing a classification model. This can be done by using a classification node, and then applying the model to the new data to make classifications.

• By using a prediction query, which is one of the predictive queries.

The Classification node defines one or more classification models to build and to test. To specify data for the build, connect a Data Source node to the Classification node.

The models in a Classification node all have the same target and case ID.

You can only specify one target.

A Classification build can run in parallel.

The section consists of the following topics:

• Default Behavior for Classification Node

• Create a Classification Node

• Data for the Classification Build

• Edit Classification Build Node

• Classification Node Properties

• Advanced Settings for Classification Models

• Classification Build Node Context Menu