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 |
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