Explanation for "Mimic Explainer (Global Surrogate) + SHAP tree"

[rsk800]

It would be nice to have a description of how the output of this interpretability technique should be understood, a detailed description of the algorithm, or an external link.

---

Document Details

⚠ Do not edit this section. It is required for learn.microsoft.com ➟ GitHub issue linking.

• ID: c0438837-e483-8176-952b-1ce8dc9769df
• Version Independent ID: 6e777360-f059-dbc7-b022-b971626ad867
• Content: Model interpretability - Azure Machine Learning
• Content Source: articles/machine-learning/how-to-machine-learning-interpretability.md
• Service: machine-learning
• Sub-service: enterprise-readiness
• GitHub Login: @mesameki
• Microsoft Alias: mesameki

[RamanathanChinnappan-MSFT]

@rsk800 Thanks for your feedback! We will investigate and update as appropriate.

[Naveenommi-MSFT]

@mesameki Could you please review add comments on this, update as appropriate.

[Naveenommi-MSFT]

@rsk800 Thank you for bringing this to our attention. I've delegated this to content author @mesameki, who will review it and offer their insightful opinions.