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.
Video Highlights
1:06 – Introduction
2:24 – Machine Learning Models
3:35 – Model Interpretability Tools
7:51 – Post-Predictive Model Features + Use Case
24:40 – Conclusion
Read the Paper
Related Resources
Interpreting Machine Learning Models in SAS (video tutorial)
SAS Visual Data Mining and Machine Learning (product page)
SAS Visual Data Mining and Machine Learning in SAS Viya: Interactive Machine Learning (training course)
