Workspace Node: Support Vector Machines - Specifications - SVM Tab

In the Support Vector Machines node dialog box, under the Specifications heading, select the SVM tab to access the following options.

Element Name Description
SVM Type In this group box, select the type of SVM model you want to use for the analysis.
Classification SVM For classification problems, select one of the option buttons in this group box to specify the SVM model of your choice. You can select either Type 1 or Type 2. According to which type is selected, options will become available in the Training constants group box (see below).
Regression SVM For regression problems, select one of the option buttons in this group box to specify the SVM model of your choice. You can select either Type 1 or Type 2. According to which type is selected, options will become available in the Training constants group box (see below).
Training constants Depending on the type of SVM model you have chosen (see above), use the fields in this group box (when applicable) to specify the value for the training parameters. Although these parameters are unknown a priori, you can estimate and specify their values. Alternatively, you can use the cross-validation algorithm (see the documentation for the Cross-validation tab) to obtain estimates of their values. The Training constants parameters include:
Capacity Applicable to Classification SVM Type 1, Regression SVM Type 1, and Regression SVM Type 2.
Epsilon Applicable to Regression SVM Type 1.
Nu Applicable to Classification SVM Type 2 and Regression SVM Type 2.

Options / C / W. See Common Options.

OK Click the OK button to accept all the specifications made in the dialog box and to close it. The analysis results will be placed in the Reporting Documents node after running (updating) the project.