MSUG Presents: A Random Forest Example of the Boston Housing Data
A Random Forest Example of the Boston Housing Data using Base SAS® and the PROC_R macro in SAS® Enterprise Guide - Melvin Alexander
This presentation uses the Boston Housing data to call and execute R code from the Base SAS environment to create a Random Forest. SAS makes it possible to run R code via SAS/IML®, SAS/IML Studio®, or SAS/Viya® as described by Gilsen (2018). Interfacing R with these other SAS modules requires separate installations that incur additional costs. R has a rich set of machine learning and text mining packages, and advanced graphic capabilities and complements SAS. This presentation will demonstrate the R and Base SAS integration to create a Random Forest using the %PROC_R macro of Wei (2012).
Melvin Alexander is a retired Statistical Quality Engineering Analytician from Greensboro, NC. He has presented numerous papers at JMP® and SAS® Users Group meetings and conferences. He was the Academic Chair for the SESUG 2023 Conference and is the Secretary for SESUG. He earned a master’s degree in Biostatistics from the University of North Carolina, and has used SAS since 1976.
Date: Thursday, September 12, 2024
Time: Noon - 1:00 PM ET
Place: Online
Cost: Free! However, please register by Tuesday, September 10 in order to receive the webinar link. Webinar information will be sent out on Wednesday, September 11.
