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Random Forest and Support Vector Machines Getting the Most from Your Classifiers

59 ratings | 15470 views Brett Wujek talks about tuning random forest and support vector machine algorithms to train high quality models. JOIN THE SAS DATA MINING COMMUNITY SAS Support Communities help users: Ask, Find and Share SAS knowledge. Join the SAS Data Mining Community today! SUBSCRIBE TO THE SAS SOFTWARE YOUTUBE CHANNEL ABOUT SAS SAS is the leader in analytics. Through innovative analytics, business intelligence and data management software and services, SAS helps customers at more than 75,000 sites make better decisions faster. Since 1976, SAS has been giving customers around the world THE POWER TO KNOW®. VISIT SAS CONNECT WITH SAS SAS ► SAS Customer Support ► SAS Communities ► Facebook ► Twitter ► LinkedIn ► Google+ ► Blogs ► RSS ►
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Text Comments (10)
Brett Wujek (19 days ago)
Check out this specific SAS Communities post for a full description and associated code Code can also be found on the SAS GitHub repo here:
adi sgup (9 months ago)
Hello, where I can find more information about svm? I think about using svm in practise such as in these example.
SAS Software (9 months ago)
You're welcome!
adi sgup (9 months ago)
Thanks for helping me
SAS Software (9 months ago)
See here for info on svm: and additional video tutorials
SAS Software (1 year ago)
See community post for a tip on how you might efficiently and effectively study the effects of the tuning parameters using SAS code: Tip: Getting the Most from your Random Forest
Travis Heeter (2 years ago)
Where can I find the SAS code to make those nodes SAS code nodes?
Brett Wujek (1 year ago)
Hey Travis - check the SAS Communities link just posted here from SAS Software - it now has code for these examples.
SAS Software (2 years ago)
Hi Travis! Please email us at and we can send you more info!
Balamurugan Mohan (3 years ago)
Great job on SVM & Random Forests!