Classification Node Test

The Test section specifies the data used for test and which tests to perform.

You can set the following settings:

• Perform Test: Select this option to test the Classification Node. The default setting is to test all models built using the test data that is created by randomly splitting the build data into two subsets. By default, the following tests are performed:

  • Performance Metrics

  • Performance Matrix

  • ROC Curve (Binary Class only)

  • Lift and Profit
    Lift and profit for the top 5 target classes by frequency. Click Edit. The Target Values Selection dialog box opens.

  • Generate selected Test Results for Tuning: If you plan to tune the models, then you must test the models in the build node, not in a Test node.

• Test Data: Select any one of the following options, by which Test Data is created:

  • Use all Mining Build Data for Testing

  • Use Split Build Data for Testing
    Split for Test (%)
    Create Split as: Table (default)

  • Use a Test Data Source for Testing: Select this option to connect the Test Data Source to the Build node, after you connect the Build data.