Documentation

This is machine translation

Translated by Microsoft
Mouseover text to see original. Click the button below to return to the English verison of the page.

Note: This page has been translated by MathWorks. Please click here
To view all translated materals including this page, select Japan from the country navigator on the bottom of this page.

Overview of Binning Explorer

The Binning Explorer app enables you to interactively bin credit scorecard data. Use the Binning Explorer to:

  • Select an automatic binning algorithm.

  • Shift bin boundaries.

  • Split bins.

  • Merge bins.

  • Save and export a creditscorecard object.

Binning Explorer complements the overall workflow for developing a credit scorecard model.

Using Binning Explorer:
1.

Open the Binning Explorer app.

  • MATLAB® Toolstrip: On the Apps tab, under Computational Finance, click the app icon.

  • MATLAB Command prompt: Enter binningExplorer.

2.

Import the data into the app.

You can import data into Binning Explorer by either starting directly from a data set or by loading an existing creditscorecard object from the MATLAB workspace.

3. Use Binning Explorer to work interactively with the binning assignments for a scorecard.
4.

Export the scorecard to a new creditscorecard object.

Continue the workflow from the MATLAB command line using creditscorecard object functions from Financial Toolbox™. For more information, see creditscorecard.

Using creditscorecard Object Functions in Financial Toolbox:
5.Fit a logistic regression model.
6.Review and format the credit scorecard points.
7.Score the data.
8.Calculate the probabilities of default for the data.
9.Validate the quality of the credit scorecard model.

For more detailed information on this workflow, see Binning Explorer Case Study Example.

See Also

Apps

Classes

Related Examples

More About

External Websites

Was this topic helpful?