The Binning Explorer app enables you to interactively bin credit scorecard data. 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
Shift bin boundaries.
Save and export a
Binning Explorer complements the overall workflow for developing a credit scorecard
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
using Binning Explorer to create the
|Using Binning Explorer:|
Open the Binning Explorer app.
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
|3.||Use Binning Explorer to work interactively with the binning assignments for a scorecard.|
Export the scorecard to a new
the workflow from the MATLAB command line using
|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.