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# Explain that tidymodels blackbox!

**[R-bloggers](https://daily.dev/sources/rbloggers)** · 5 min read · 1 upvotes · 0 comments

## Summary

This post explains the tidymodels blackbox with various explainability methods such as permutation importance, partial dependence plots, Friedman's H statistics, and SHAP. It uses the diabetes prediction dataset to model diabetes as a function of demographic features. The post also introduces the own packages 'hstats', 'kernelshap', and 'shapviz' for explanation methods.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.r-bloggers.com/2024/01/explain-that-tidymodels-blackbox/>

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Tags: [#data-science](https://daily.dev/tags/data-science), [#random-forest](https://daily.dev/tags/random-forest)

[View this post on daily.dev](https://daily.dev/posts/explain-that-tidymodels-blackbox--y4ibj1ks9)

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