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In contrast to the mean absolute percentage error, SMAPE has both a lower and an upper bound. Indeed, the formula above provides a result between 0% and 200%. Indeed, the formula above provides a result between 0% and 200%.
For example, if the mean height in a population of 21-year-old men is 1.75 meters, and one randomly chosen man is 1.80 meters tall, then the "error" is 0.05 meters; if the randomly chosen man is 1.70 meters tall, then the "error" is −0.05 meters.
Margin of error; Market risk; McKay's approximation for the coefficient of variation; Mean absolute difference; Mean absolute error; Mean absolute percentage error; Mean absolute scaled error; Mean square quantization error; Mean squared displacement; Mean squared error; Mean squared prediction error; Medcouple; Median absolute deviation ...
Mean – see also expected value; Mean absolute error; Mean absolute percentage error; Mean absolute scaled error; Mean and predicted response; Mean deviation (disambiguation) Mean difference; Mean integrated squared error; Mean of circular quantities; Mean percentage error; Mean preserving spread; Mean reciprocal rank; Mean signed difference
Mean percentage error; Symmetric mean absolute percentage error; References This page was last edited on 16 February 2025, at 18:40 (UTC). Text is available ...
For a Type I error, it is shown as α (alpha) and is known as the size of the test and is 1 minus the specificity of the test. This quantity is sometimes referred to as the confidence of the test, or the level of significance (LOS) of the test.