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Published on Oct 14, 2019
In this SAS How To Tutorial, Ari Zitin shows you how to interpret machine learning models in SAS. After a brief introduction to model interpretability, Ari explains how to turn on model interpretability tools in SAS Viya and how to interpret a decision tree. Next, Ari uses SAS Viya Model Studio to read and interpret Partial Dependence Plots (PD), Individual Conditional Expectation Plots (ICE), and Local Interpretable Model Agnostic Explanations (LIME). Finally, Ari discusses individual observations with ICE and LIME.
You'll note that Ari uses SAS Model Studio to preform model interpretability in machine learning models in SAS.
Content Outline 01:48 – Introduction to Model Interpretability 09:22 – Introduction to the data 16:10 – Partial Dependence Plots (PD) 21:43 – Individual Conditional Expectation Plots (ICE) 27:00 – Local Interpretable Model Agnostic Explanations (LIME) 35:52 – Individual Observations with ICE and LIME
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