Thread: Though there is lots of community interest in model-agnostic model explanations (eg. LIME), I’ve been interested in an explainer specific to random forests. Came across a great one here: github.com/MI2DataLab/ran… #rstats
To begin, train an RF model and run the explain_forest() function. #rstats 
Next thing you know, a variety of “views” into the forest appear on your machine. Can explore interactions between metrics and variables. For more details, check out this vignette: rawgit.com/MI2DataLab/ran… #rstats
The #rstats package is based on a masters thesis in applied math (76 pages, be warned): rawgit.com/geneticsMiNIng…
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