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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 SVM Classification algorithm settings:
You can edit the settings by using one of the following options:
Right-click the Classification node and select Advanced Settings.
Right-click the Classification node and select Edit. Then, click Advanced.
In the Algorithm Settings tab, the settings are available. Select the Kernel Function. The options are:
System determined (Default). After the model is built, the kernel used is displayed in the settings in the model viewer.
Linear. If SVM uses the linear kernel, then the model generates coefficients.
Gaussian (a non-linear function).
Click OK after you are done.