In this 26-minute video, you’ll hear about a standardized interpretability plots framework for evaluating and explaining patient-level machine learning models using observational health-care data. Presenter David Olaleye, Senior Manager HLS R&D, SAS, shows you how to use SAS® Cloud Analytic Services (CAS) action sets and model-agnostic interpretability tools available in SAS® Visual Data Mining and Machine Learning to explain the functional relationship between model features and target outcome variable.
1:06 – Introduction
2:24 – Machine Learning Models
3:35 – Model Interpretability Tools
7:51 – Post-Predictive Model Features + Use Case
24:40 – Conclusion
Interpreting Machine Learning Models in SAS (video tutorial)
SAS Visual Data Mining and Machine Learning (product page)
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