Predictive rate parity: Revision history

21 March 2023

• curprev 01:1101:11, 21 March 2023‎ Walle talk contribs‎ 4,065 bytes +4,065‎ Created page with "{{see also|Machine learning terms}} ==Introduction== Predictive rate parity is an important concept in the field of machine learning, particularly in the context of fairness and bias. It is a metric used to measure the fairness of a machine learning model, especially in cases where the model makes predictions for different groups within a dataset. The goal of achieving predictive rate parity is to ensure that the model's predictions are equitable across these groups, min..."