New mlr3 book chapter about interpretable machine learning using DALEX
Przemysław Biecek and Szymon Maksymiuk added a new chapter to the mlr3 book on how to analyze machine learning models fitted with mlr3 using the excellent DALEX package.
The contributed chapter covers an analysis of a random regression forest (implemented in the ranger package) on data extracted from the FIFA video game. In more detail, the following methods for explainable machine learning are showcased:
Here is a small preview illustrating the effect of different features on the monetary value of Cristiano Ronaldo:
Read the complete chapter here.
For attribution, please cite this work as
Lang (2020, March 30). mlr-org: Explainable machine learning with mlr3 and DALEX. Retrieved from https://mlr-org.github.io/mlr-org-website/posts/2020-03-30-dalex/
BibTeX citation
@misc{mlr3 loves dalex, author = {Lang, Michel}, title = {mlr-org: Explainable machine learning with mlr3 and DALEX}, url = {https://mlr-org.github.io/mlr-org-website/posts/2020-03-30-dalex/}, year = {2020} }