Building and Testing SVM Models

This section describes how to build and test SVM models. You specify building a model by connecting the Data Source node that represents the build data to an appropriate Build node.

By default, a Classification or Regression node tests all the models that it builds. By default, the test data is created by splitting the input data into build and test subsets. Alternatively, you can connect two data sources to the build node, or you can test the model using a Test Node.

You can build three kinds of SVM models:

• SVM Classification Models

• SVM Regression Models

• SVM Anomaly Detection Models