To build the final scorecard,
you must repeat the data partitioning, grouping, and scorecard creation
steps. These steps are now done on the augmented data set.
-
From the
Sample tab,
drag a
Data Partition node to
the Diagram Workspace. Connect the
Reject Inference node to
the
Data Partition (2) node.
In the
Data
Set Allocations property group, set the value of
Training to
70,
Validation to
30,
and
Test to
0.
-
From the
Credit
Scoring tab, drag an
Interactive Grouping node to
the Diagram Workspace. Connect the
Data Partition (2) node
to the
Interactive Grouping (2) node. This
step uses the default values for the Interactive Grouping node.
-
From the
Credit
Scoring tab, drag a
Scorecard node to the Diagram
Workspace. Connect the
Interactive Grouping (2) node
to the
Scorecard (2) node.
-
Right-click the
Scorecard
(2) node and click
Run. In the
Confirmation window,
click
Yes. In the
Run Status window,
click
Results. Expand the
Scorecard window.
You now have a scorecard that is based on both accepted and rejected
applicants, as shown below.
Close the
Results window.
