Home > Model Nodes > Online Help for Model Nodes > Association Node > Classification Node > Classification Node Propert... > Classification Node Models Tab
This tab lists the models that are built when the node s. The default is build three classification models using three different algorithms (SVM, NB, and DT). If the target is binary, the default is to build four models using SVM, NDB, DT, and GLM.
For multi-class targets, you can also specify the GLM algorithm if you add a model.
The Model Setting list is a list of the models that you want to build.
You can search the list for a particular model.
You can add, delete, or view models in the list. You can compare test results, if the models were tested. You can also indicate which models are passed to subsequent nodes or not, as described in Classification Node Output Column.
To add a model, launch Add Model (Classification) by clicking
To delete one or more models, select them and click
If models were tested you can compare test results by selecting two or more models and clicking
If a model built successfully, you can view the model (launch the model viewer) by selecting the model and clicking
The model viewer is launched. The model viewer depends on the algorithm used to create the model; for more information about a viewer, see
You can change Tuning settings.