mean squared error
average of the squares of the errors between estimated and actual values
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mean squared error
Summary
mean squared error is a measure of forecasting quality[1]. It draws 550 Wikipedia views per month (measure_of_forecasting_quality category, ranking #2 of 5).[2]
Key Facts
- mean squared error's instance of is recorded as measure of forecasting quality[3].
- mean squared error's Freebase ID is recorded as /m/01cp44[4].
- mean squared error's Encyclopædia Britannica Online ID is recorded as science/mean-square-due-to-error[5].
- mean squared error's short name is recorded as {'lang': 'en', 'text': 'MSE'}[6].
- mean squared error's short name is recorded as {'lang': 'sl', 'text': 'PKN'}[7].
- mean squared error's different from is recorded as root-mean-square deviation[8].
- mean squared error's defining formula is recorded as \operatorname{MSE}=\frac{1}{n}\sum_{i=1}^n(\hat{Y_i} - Y_i)^2[9].
- mean squared error's maintained by WikiProject is recorded as WikiProject Mathematics[10].
- mean squared error's Microsoft Academic ID is recorded as 139945424[11].
- mean squared error's in defining formula is recorded as n[12].
- mean squared error's in defining formula is recorded as \hat{Y_i}[13].
- mean squared error's in defining formula is recorded as Y_i[14].
- mean squared error's OpenAlex ID is recorded as C139945424[15].
Why It Matters
mean squared error draws 550 Wikipedia views per month (measure_of_forecasting_quality category, ranking #2 of 5).[2] It has Wikipedia articles in 17 language editions, a strong signal of global cultural recognition.[16] It is known by 18 alternative names across languages and contexts.[17]