dp-100-data-scientist-assoc video for fairlearn is a Python package designed to analyze models and evaluate disparities in predictions and performance across
Fairlearn is a Python package designed to analyze models and evaluate disparities in predictions and performance across sensitive features. It integrates seamlessly with Azure Machine Learning, allowing users to conduct experiments and upload dashboard metrics to an Azure ML workspace. The selection of parity constraints depends on the chosen technique and the specific fairness criteria applied. Question: Which Fairlearn constraint is described by the following? "This constraint can be used with any mitigation algorithm to reduce disparity across sensitive feature groups. In a binary classification scenario, it ensures that each group maintains a similar ratio of false-positive predictions."