Logistic regression model is often applied to large finacial databases. For example, credit scoring is a method of modeling the influence of predictors on the probability that a consumer is credit worthy. The data archive found is in: http://www.stat.uni-muenchen.de/service/datenarchiv/kredit/kredit.asc.
Take a snapshot of my reprot:
Structure of my report:Abstract.............................................................1
section 1: project objective......................................................................4
section 2: Project Procedure.................................................................. 4
section 3: Selection Algorithms and Variable Description..................5
sectoin 4: Reference Model Building and Diagnose.............................7
section 5: Final Model Justification......................................................14
section 6: conclusion...............................................................................15
supplement.........................................15
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Send email to stefanie.cao@gmail.com with title of report request on credit scoring. promise you get the report within three days.
1 comment:
Simple modeling methods, such as logistic regression continue to prove useful in solving important problems.
I wrote about this very idea in In Praise of Simple Models, my Nov-03-2006 posting to the Data Mining and Predictive Analytics Web log.
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