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The settings that you can specify for the Support Vector Machine (SVM) algorithm depend on the Kernel function that you select. See SVM Kernel Functions for information about how to select a Kernel Function.
The meaning of the individual settings is the same for both classification and regression.
To edit settings, either right-click the regression node and select Advanced Settings, or right-click the node, select Edit, and click Advanced. In either case, algorithm settings are on the Algorithm Settings tab.
First select the Kernel Function. These are the choices:
System determined, the default. See Algorithm Settings for Linear or System Determined Kernel (SVMR) for remaining settings. After the model is built, the kernel used is displayed in the settings in the model viewer.
Linear. See Algorithm Settings for Linear or System Determined Kernel (SVMR) for remaining settings. If SVM uses the linear kernel, the model generates coefficients.
Gaussian (a non-linear function). See Algorithm Settings for Gaussian Kernel (SVMR) for remaining settings