|This post was kindly contributed by R – SmarterPoland.pl - go there to comment and to read the full post.|
I’ve heard about a number of consulting companies, that decided to use simple linear model instead of a black box model with higher performance, because ,,client wants to understand factors that drive the prediction’’.
And usually the discussion goes as following: ,,We have tried LIME for our black-box model, it is great, but it is not working in our case’’, ,,Have you tried other explainers?’’, ,,What other explainers’’?
So here you have a map of different visual explanations for black-box models. Choose one in (on average) less than three simple steps.
These are available in the DALEX package. Feel free to propose other visual explainers that should be added to this map (and the package).