The iBreakDown
package is a model agnostic tool for explanation of predictions from black boxes ML models. Break Down Table shows contributions of every variable to a final prediction. Break Down Plot presents variable contributions in a concise graphical way. SHAP (Shapley Additive Attributions) values are calculated as average from random Break Down profiles. This package works for binary classifiers as well as regression models.
iBreakDown
is a successor of the breakDown package. It is faster (complexity O(p)
instead of O(p^2)
). It supports variable interactions and interactive explanations with D3.js visualizations. It is imported and used to compute model explanations in multiple packages e.g. DALEX
, modelStudio
, arenar
.
Methodology behind the iBreakDown package is described in the arXiv paper and Explanatory Model Analysis book. It is a part of DrWhy.AI universe.
# the easiest way to get iBreakDown is to install it from CRAN:
install.packages("iBreakDown")
# Or the the development version from GitHub:
# install.packages("devtools")
devtools::install_github("ModelOriented/iBreakDown")
Find lots of examples at the website: https://ModelOriented.github.io/iBreakDown.
This version also works with D3: see an example and demo.