dp-100-data-scientist-assoc video for concept Overview: Fairlearn is a Python package designed to analyze machine learning models and evaluate disparity in
Concept Overview: Fairlearn is a Python package designed to analyze machine learning models and evaluate disparity in predictions and performance for sensitive features. Fairlearn integrates with Azure Machine Learning, enabling users to run experiments and upload dashboard metrics to an Azure Machine Learning workspace. The selection of a parity constraint depends on the mitigation technique and the specific fairness criteria being applied. Question: Which Fairlearn constraint aligns with the following description? "Use this constraint with any of the reduction-based mitigation algorithms to restrict the loss for each sensitive feature group in a regression model."