Predictive parity: Difference between revisions

Created page with "{{see also|Machine learning terms}} ==Predictive Parity in Machine Learning== Predictive parity, also known as test fairness, is a crucial criterion for evaluating the fairness of machine learning algorithms. It refers to the condition when the predictive accuracy of an algorithm is consistent across different demographic groups. In other words, the probability of a correct prediction should be equal among all subgroups within the population. This concept is essentia..."