In this lesson, you learned how to explain machine
learning models, with Azure Machine Learning. More specifically
you learned how to interpret global and
local feature importance, use an explainer to
interpret a model, create model explanations
in a training experiment, and visualize model
explanations. To learn more about
interpreting models, see model interpretability
in Azure Machine Learning, in the Azure Machine
Learning documentation from the Microsoft website. You can find a link
to this resource, from the additional readings
at the end of this lesson.