mstaniak/egalitaRian: Compare Validation and Training Datasets and Explore Differences

Training data bias is a recently recognized problem in machine learning. This package offers several diagnostic tools for checking whether the validation set deviates from the training set in a way that influences the predictive power of a classifier.

install.packages("remotes")
remotes::install_github("mstaniak/egalitaRian")