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What are ROC charts? Receiver Operating Characteristic (ROC) charts are graphical tools used to assess model performance, SAS’ Jeff Thompson explains. They’re used for models that are built on a binary target. While you can use ROC charts to assess a single model, it’s also common to use them for model comparison. In this SAS How To Tutorial, Jeff outlines key terms for ROC charts, shows you how to construct them, and shows you how to apply ROC charts in SAS Model Studio on SAS Viya. Download the data Access the data Jeff’s uses on GitHub – https://github.com/sascommunities/sas... Chapters 00:00 – Welcome 02:08 – Terminology overview – what are ROC charts, how to interpret them 05:30 – Construction of an ROC chart 18:28 – Demo of ROC charts in SAS Model Studio on SAS Viya Other videos from Jeff: ◉ How to compare models in SAS – • SAS Tutorial | How to compare models in SAS ◉ Transforming Variables in SAS – • SAS Tutorial | Transforming Variables in SAS ◉ Missing value imputation using SAS – • SAS Tutorial | Missing value imputation us... Learn more about SAS Software ◉ AI and Machine Learning Courses – https://www.sas.com/en_us/training/pr... ◉ Machine Learning Using SAS Viya Training – https://learn.sas.com/course/view.php... ◉ AI & Machine Learning Professional Training – https://www.sas.com/en_us/training/ac... ◉ Learn about Model Studio – https://support.sas.com/en/software/m... ◉ Video: How to Choose a Machine Learning Algorithm with Aurora – • SAS Tutorial | How to Choose a Machine Lea... ◉ SAS Studio Community – https://communities.sas.com/t5/SAS-St... ◉ SAS Solutions for Data Scientists – https://www.sas.com/sas/offers/data-s... SUBSCRIBE TO THE SAS USERS YOUTUBE CHANNEL #SASUsers #LearnSAS https://www.youtube.com/SASUsers?sub_... ABOUT SAS SAS is a trusted analytics powerhouse for organizations seeking immediate value from their data. A deep bench of analytics solutions and broad industry knowledge keep our customers coming back and feeling confident. With SAS®, you can discover insights from your data and make sense of it all. Identify what’s working and fix what isn’t. Make more intelligent decisions. And drive relevant change. CONNECT WITH SAS SAS ► https://www.sas.com SAS Customer Support ► https://support.sas.com SAS Communities ► https://communities.sas.com SAS Analytics Explorers ► https://explorers.sas.com Facebook ► / sassoftware Twitter ► / sassoftware LinkedIn ► / sas Blogs ► https://blogs.sas.com RSS ► https://www.sas.com/rss