Classification Node Models

The Classification node lists the models that are built when the node runs. By default, the Classification Build node creates three classification models. Each one uses a different classification algorithm:

• Support Vector Machine (SVM)

• Naive Bayes (NB)

• Decision Tree (DT)

• Generalized Linear Models (GLM). This algorithm is used as default, only if the target is binary. For multi-class targets, you can also specify the GLM algorithm if you add a model.

Model Setting lists the models that are built.

You can perform the following tasks:

• Add: To add a model, click . The Add Model dialog box opens.

• Delete: To delete the models, select it and click .

• Compare Test Results: If models were tested, then you can compare test results by selecting two or more models and clicking .

• View: If a model built successfully, then you can view the model by selecting the model and clicking . The Model viewer depends on the algorithm used to create the model.

  • GLM Classification Model Viewer

  • Decision Tree Model Viewer

  • Naive Bayes Model Viewer

  • SVM Classification Model Viewer

• Duplicate: To copy a model, select the model and click .

• Tune Models: To tune models, select the model and click .

You can also indicate which models are passed to subsequent nodes or not.