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 want to never build models using one of the algorithms by default, deselect that algorithm. A user will still be able to 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 test data. The split is 40% and the split data is created as a view.