mean absolute error
measure of difference between two continuous variables
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mean absolute error
Summary
mean absolute error is a measure of forecasting quality[1]. It draws 343 Wikipedia views per month (measure_of_forecasting_quality category, ranking #4 of 5).[2]
Key Facts
- mean absolute error's instance of is recorded as measure of forecasting quality[3].
- mean absolute error's Freebase ID is recorded as /m/0271dcf[4].
- mean absolute error's short name is recorded as {'lang': 'en', 'text': 'MAE'}[5].
- mean absolute error's short name is recorded as {'lang': 'sl', 'text': 'PAN'}[6].
- mean absolute error's defining formula is recorded as \mathrm{MAE} = \frac{1}{n}\sum_{i=1}^n \left| f_i-y_i\right| =\frac{1}{n}\sum_{i=1}^n \left| e_i \right|[7].
- mean absolute error's maintained by WikiProject is recorded as WikiProject Mathematics[8].
- mean absolute error's Microsoft Academic ID is recorded as 188154048[9].
- mean absolute error's OpenAlex ID is recorded as C188154048[10].
Why It Matters
mean absolute error draws 343 Wikipedia views per month (measure_of_forecasting_quality category, ranking #4 of 5).[2] It has Wikipedia articles in 7 language editions, a strong signal of global cultural recognition.[11] It is known by 4 alternative names across languages and contexts.[12]