By: Žan Mervič, Sep 19, 2023
Diving deeper into the Orange fairness Reweighing widget, we explore its use as a preprocessor for models. Discover the new widgets and fairness scoring metrics; all illustrated using the German credit dataset, supplemented with visual insights through box plots.
By: Žan Mervič, Sep 19, 2023
Building on our exploration of the Orange fairness addon, this blog delves into the Reweighing widget. By adjusting weights for dataset instances, the widget addresses bias, focusing on underrepresented groups. Using the Compas dataset as an example, we demonstrate how bias decreases post-reweighting, presenting visual insights into the distribution of adjusted weights and their impact on dataset fairness.
