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There are two ways to make regression predictions:
By building and testing a Regression model: Use a Regression node, and then apply the model to new data to make classifications.
By using a Prediction Query, which is one of the predictive queries.
The Regression node defines one or more Regression models to build and to test. To specify data for the build, connect a Data Source node to the Regression node. You can also connect a second data source to the Regression build node to specify test data.
The models in a Regression Node all have the same target and case ID.
You can only specify one target.
A Regression build can run in parallel.
This section consists of the following topics: