Explore feature contributions
Use Shapley analysis and visualisations to understand model predictions.
ExplaineR
Machine Learning Model Explainer
Interpret and evaluate models in R
Understand your models.
Explain their predictions.
ExplaineR is an R package for interpreting classification and regression models through Shapley analysis, exploring subgroups, and evaluating model performance, fairness, and decision curves.
Start with ExplaineR in R
install.packages("explainer")
library(explainer)Follow the tutorials for binary classification, multiclass classification, and regression.
Characterise subgroups
Explore groups of individuals through their feature contributions and model behaviour.
Assess performance and utility
Use multiple evaluation measures, fairness analysis, and decision curves.