Incompatibility of fairness metrics: Revision history

Diff selection: Mark the radio buttons of the revisions to compare and hit enter or the button at the bottom.
Legend: (cur) = difference with latest revision, (prev) = difference with preceding revision, m = minor edit.

20 March 2023

  • curprev 05:0505:05, 20 March 2023Walle talk contribs 3,547 bytes +3,547 Created page with "{{see also|Machine learning terms}} ==Incompatibility of Fairness Metrics in Machine Learning== In the field of machine learning, fairness is a critical issue that has gained increasing attention in recent years. The concept of fairness is essential to ensure that algorithmic decisions are equitable and do not discriminate against particular groups. This article focuses on the incompatibility of fairness metrics in machine learning, its implications, and a simple explana..."