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Questions related to the Locally Interpretable Model-Agnostic Explanations (LIME) method of explaining black-box machine learning models.
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Scaled and Unscaled features are giving different feature importances when using LIME
While using LIME, I am getting signficantly different "top drivers" for scaled and non-scaled models.
Questions:
Why would I see different results for both?
Which version should I use? …
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Curious on using black box model interpreters (LIME, SHAP, etc) for production models
My first thought and experiment was to use LIME since it seems to be the most popular for similar use cases but I see a big problem with this:
There is a kernel width parameter in most packages that … Questions:
For those of you who have used LIME in a similar context, how did you overcome this?
2 What other alternatives do I have? …