This repository contains datasets and models that can be used as samples for the bias mitigation toolkit. Each dataset corresponds to a specific learning task, as outlined below:

| learning task | dataset name | | :---: | :---: | :---: | | binary classification | german credit dataset | | regression | insurance dataset | | multiclass classification | healthcare dataset | | clustering | customers dataset |

libraries

xgboost 2.0.2

scikit-learn 1.3.2

lightgbm 4.2.0

catboost 1.2.2

tensorflow 2.15.0

torch 2.3.0