Working with Models

If a stream includes a modeling node (that is, one from the Modeling or Database Modeling tab of the nodes palette), a model nugget is created when the stream is run. A model nugget is a container for a model, that is, the set of rules, formulas or equations that enables you to generate predictions against your source data, and which lies at the heart of predictive analytics.

Figure 1. Model nugget
Model nugget

When you successfully run a modeling node, a corresponding model nugget is placed on the stream canvas, where it is represented by a gold diamond-shaped icon (hence the name "nugget"). You can open the nugget and browse its contents to view details about the model. To view the predictions, you attach and run one or more terminal nodes, the output from which presents the predictions in a readable form.

A typical modeling stream consists of two branches. The modeling branch contains the modeling node, together with the source and processing nodes that precede it. The scoring branch is created when you run the modeling node, and contains the model nugget and the terminal node or nodes that you use to view the predictions.

For more information, see the IBM® SPSS® Modeler Modeling Nodes guide.