Mean absolute error
id:
mean-absolute-error-320-3527051
title:
Mean absolute error
text:
In statistics, mean absolute error (MAE) is a measure of errors between paired observations expressing the same phenomenon. Examples of Y versus X include comparisons of predicted versus observed, subsequent time versus initial time, and one technique of measurement versus an alternative technique of measurement. MAE is calculated as the sum of absolute errors divided by the sample size: It is thus an arithmetic average of the absolute errors | e i | = | y i − x i | , where y i is the prediction
brand slug:
wiki
category slug:
encyclopedia
description:
Statistical error measure
original url:
https://en.wikipedia.org/wiki/Mean_absolute_error
date created:
date modified:
2024-04-02T22:32:58Z
main entity:
{"identifier":"Q6803609","url":"https://www.wikidata.org/entity/Q6803609"}
image:
fields total:
13
integrity:
14