Table of Contents
This chapter describes three kind of reports dedicated to validate scoring models:
All of them were created with a view to deeply analyzing scoring model and scoring card. However the first and second report may be used for any kind of classification model that is able to assign score (probability or points) to each observation. Only the third report requires scoring card with scoring points.
Because all the report are generated in MSOffice or OpenOffice user must remember to set appropriate connection. For help see Integration with common office suites chapter.
This report contains the following statistics:
Some of the listed statistics were described in Classification Test Task Result section. All the statistics are calculated according to the document: „Working Paper No. 14: Studies on the Validation of Internal Rating Systems”, Basel Committee on Banking Supervision, May 2005.
To generate the Efficiency Report we need build and apply classification model first. After that in database we should have an 'applied' dataset with at least two columns: original target and predicted probability or score. Then we can run the report with the script below:
from base.report.statReport.ScoringCardEfficiency import * runScoringCardEfficiency()
After running this code the wizard will appear where two kinds of parameters must be set:
After setting all the parameters just click 'Save settings & Run Report' button. A few seconds later the report should generate.