Summary

Completed

In this module, you learned how to:

  • Interpret global and local feature importance.
  • Use an explainer to interpret a model.
  • Create model explanations in a training experiment.
  • Visualize model explanations.

To learn more about interpreting models, see Model interpretability in Azure Machine Learning in the Azure Machine Learning documentation.