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Questions related to the Locally Interpretable Model-Agnostic Explanations (LIME) method of explaining black-box machine learning models.

0 votes
0 answers
94 views

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? …
madsthaks's user avatar
  • 297
1 vote
0 answers
251 views

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? …
madsthaks's user avatar
  • 297