Regression

By default, a Regression node builds two models, one each using General Linear Model and Support Vector Machine.

All models in the node have the same input data, target, and case ID, if a case ID is specified.

If you do not want to build models using one of the default algorithms, then deselect that algorithm. You can still add models using the deselected algorithm to a Regression node.

By default, two test results, Performance Metrics and Residuals, are calculated.

By default, split data is used for the test data. The split is 40 percent and the split data is created as a view.