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.