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Abstract

The prior goal of this project is to implement a new fairness package that is well integrated into the mlr3 ecosystem. This new package could be used by many other mlr3 subsystems like mlr3pipelines, mlr3tuning and mlr3proba. Then further help the researchers and industrial users to detect the fairness of datasets or algorithmic bias more easily, which could benefit the accuracy and impartiality of their models built by mlr3.

To be more specifically, there are three milestones of this project:

• Create or integrate fairness metrics.
• Implement debiasing methods.
• Create appropriate visualizations.