Bin data and export into a creditscorecard
object
The Binning Explorer app enables you to manage binning
categories for a creditscorecard
object. Use screenpredictors
to
pare down a potentially large set of predictors to a subset that is most predictive
of the credit score card response variable. You can then use this subset of
predictors when creating a MATLAB® table of data. After creating a table of data in your MATLAB workspace, or after using creditscorecard
to create a
creditscorecard
object, use the Binning Explorer
to:
Select an automatic binning algorithm with an option to bin missing data.
(For more information on algorithms for automatic binning, see autobinning
.)
Shift bin boundaries.
Split bins.
Merge bins.
Save and export a creditscorecard
object.
MATLAB toolstrip: On the Apps tab, under Computational Finance, click the app icon.
MATLAB command prompt:
Enter binningExplorer
to open the
Binning Explorer app.
Enter binningExplorer(data)
or
binningExplorer(data,Name,Value)
to
open a table in the Binning Explorer app by
specifying a table (data
) as input.
Enter binningExplorer(sc)
to open a
creditscorecard
object in the
Binning Explorer app by specifying a creditscorecard
object (sc
) as input.
To access Help for the App, click the Help icon on the toolbar.
Note
When using the Binning Explorer app with MATLAB Online:
The App toolbar is not available for MATLAB Online. To access
Help, from the MATLAB command prompt, enter doc
binningExplorer
.
MATLAB Online does not display predictor information using three panels (Overview, Bin Information, and Predictor Information) in the Binning Explorer window. Instead, MATLAB Online displays these panels as tabs labeled Overview, Bin Information, and Predictor Information.
When performing manual binning, selected predictors are displayed in a tab in the Binning Explorer window. When you close the tab for a predictor, you do not return to the Overview panel. To return to the Overview panel, click the Overview tab.