Aug 16, 2022  
2019-2020 Graduate Catalog 
    
2019-2020 Graduate Catalog [ARCHIVED CATALOG]

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STAT 8330:Applied Binary Classification

3 Class Hours 0 Laboratory Hours 3 Credit Hours
Prerequisite: STAT 8210  
This course is a heavily used concept in Statistical Modeling. Common applications include credit worthiness and the associated development of a “FICO-esque” credit score, fraud detection or the identification of manufacturing units which fail inspection. Students will learn how to use Logistic Regression, Odds, ROC curves, maximization functions to apply binary classification concepts to real-world datasets. This course will heavily use SAS-software and students are expected to have a strong working knowledge of SAS.



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