WW02
Building and Applying Predictive Models Using the SAS System
Fri, All Day
Andrew Karp
Sierra Information Services, Inc.
Email: SFBAY0001@aol.com
Abstract:
This workshop is designed to teach you how to implement—and interpret the results of—predictive models where the dependent variable is dichotomous, rather than measured on a continuous scale. During this one-day session you will receive an intensive overvi
ew of PROC LOGISTIC’s features for predictive models, as well as how to use the SAS Output Delivery System (ODS) during the model generation, selection and interpretation processes. You will also learn about PROC LOGISTIC’s new features for categorical ind
ependent variables, automating selection of the “best” model from numerous candidate models, testing model performance using gains charts, and validating the model on hold-out samples.
The materials presented in this class assume you are familiar with SAS
System programming concepts (e.g., data step, procedure step, format, variable, observation) as well as statistical terminology such as slope, intercept, dependent and independent variable, confidence interval, and null/alternative hypothesis.
Biography:
Andrew Karp is President of Sierra Information Services, Inc. a SAS Institute Alliance Partner™ located in the historic Calfiornia wine country city of Sonoma, north of San Francisco. A 20-year user of SAS System software, Andrew is a SAS Certified Profess
ional for Version 8 of the SAS System and has presented numerous papers at SAS user group meetings in six countries. His consulting practice focuses on using the SAS System for data mining, predictive modeling and other analytic processes, as well as on de
veloping and presenting training classes on numerous SAS Software topics. He is currently writing a book to accompany the recently released SAS Learning Edition for SAS Institute’s Books by Users Press. He holds undergraduate and graduate degrees from The
George Washington University in Washington, DC.