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For a binary target, the Regression Node builds four models using the following algorithms:
Generalized Linear Model (GLM)
Support Vector Machine (SVM)
The models have the same build data and the same target.
By default, the models are all tested. The test data is created by randomly splitting the build data into a build data set and a test data set. The default ratio for the split is 60% build and 40% test.
You can also test a regression model using a Test Node.
After you test models, you can view test results as described in Regression Model Test Viewer.
You can compare test results for two or more regression models using the Compare Test Results selection of the context menu.
Case ID is optional.