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Create Credit Scorecards

Credit scorecard modeling, binning, fitting a model, obtaining points and scores, model validation, probability of default

For information about the workflow for developing credit scorecards, see Credit Scorecard Modeling Workflow.

Using Objects

creditscorecardCreate creditscorecard object to build credit scorecard model

Functions

autobinningPerform automatic binning of given predictors
bininfoReturn predictor’s bin information
predictorinfoSummary of credit scorecard predictor properties
modifybinsModify predictor’s bins
modifypredictorSet properties of credit scorecard predictors
bindataBinned predictor variables
plotbinsPlot histogram counts for predictor variables
fitmodelFit logistic regression model to Weight of Evidence (WOE) data
setmodelSet model predictors and coefficients
displaypointsReturn points per predictor per bin
formatpointsFormat scorecard points and scaling
scoreCompute credit scores for given data
probdefaultLikelihood of default for given data set
validatemodelValidate quality of credit scorecard model

Examples and How To

Case Study for a Credit Scorecard Analysis

This example shows how to create a creditscorecard object, bin data, display, and plot binned data information.

Credit Rating by Bagging Decision Trees (Statistics and Machine Learning Toolbox)

This example shows how to build an automated credit rating tool.

Concepts

Credit Scorecard Modeling Workflow

Use the credit scorecard workflow to create, model, and analyze credit scorecards.

About Credit Scorecards

The goal of credit scoring is ranking borrowers by their credit worthiness.

Credit Scorecard Modeling Using Observation Weights

Use observation weights with the credit scorecard workflow to create, model, and analyze credit scorecards.

Troubleshooting

Troubleshooting Credit Scorecard Results

Troubleshooting results when using a creditscorecard model.

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