1. Add a Data Asset node that points to customer_dbase.csv.
2. Add a Type node after the Data Asset node.
3. Double-click the Type node to open its properties, and change the role for response_01 to Target. Change the role to None for the other response fields (response_02 and response_03) and for the customer ID (custid) field. Leave the role set to Input for all other fields.

   

4. Click Read Values and then click Save.
5. Add a Feature Selection modeling node after the Type node. In the node properties, the rules and criteria used for screening or disqualifying fields are defined.

   

6. Run the flow to generate the Feature Selection model nugget.
7. To look at the results, right-click the model nugget and choose View Model. The results show the fields found to be useful in the prediction, ranked by importance. By examining these fields, you can decide which ones to use in subsequent modeling sessions.
8. To compare results without feature selection, you must add two CHAID modeling nodes to the flow: one that uses feature selection and one that doesn't. Add two CHAID nodes, one connected to the Type node and the other connected to the Feature Selection model nugget, as shown in the example flow at the beginning of this section.
9. Double-click each CHAID node to open its properties. Under Objectives, make sure that Build new model and Create a standard model are selected. Under Basic > Maximum Tree Depth, select Custom and set it to 5.