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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 percent build and 40 percent test. When possible Data Miner uses compression when creating the test and build data sets.
You can instead use all the build data as test data.
To use separate test data, connect a test data source to the build node or use a Test node.
After you test models, you can view test results.
You can compare test results for two or more Regression models using the Compare Test Results selection of the context menu.
The case ID is optional. However, if you do not specify a case ID, then the processing will be slower.