Mean absolute error (MAE): 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.

7 January 2023

27 December 2022

  • curprev 09:3809:38, 27 December 2022Bmackenty talk contribs 1,298 bytes +1,298 Created page with "The mean absolute error (MAE) is a metric used to evaluate the performance of a regression model. It is defined as the average absolute difference between the predicted values..."