As Fairness Data

Adds Fairness attributes to the dataset.

Inputs

• Data: reference dataset

Outputs

• Data: reference dataset with selected Fairness meta-attributes.

As Fairness Data is a widget that allows the user to select and add Fairness meta-attributes to the dataset. These meta-attributes are required by other fairness widget to function properly. These meta-attributes are: Favorable Class Value, Protected Attributes and Privileged Protected Attribute Values.

Example

This simple example shows how to use the As Fairness Data widget. First, we load the German Credit Data dataset and then we connect it to the As Fairness Data widget. We select the Personal status and sex attribute as the Protected Attribute and all values representing males as the Privileged Protected Attribute Values. We also select good as the Favorable Class Value. The output of the widget is a dataset with the added meta-attributes.

It should be noted that datasets included in orange with the tag fairness already have some default fairness meta-attributes added to them and thus do not require the use of the As Fairness Data widget before using other fairness widgets. These datasets include: Adult, German Credit Data and COMPAS Analysis.