However, percentage errors are not quite meaningful when Y _ t is close to or equal to zero, which results in extreme values or simply being undefined.
12.
[The percentage error, which increases roughly in proportion to the height 2500km-- >, is less than 1 % when H is less than 250km .]
13.
|3 = "'Percentage least squares "'focuses on reducing percentage errors, which is useful in the field of forecasting or time series analysis.
14.
:I think the mean absolute percentage error is fine but Use log of value of guess over actual value then just order the results on that and use non-parametric statistics for the rest.
15.
A singularity problem of the form'one divided by zero'and / or the creation of very large changes in the Absolute Percentage Error, caused by a small deviation in error, can occur.
16.
Error tolerance decreases as nominal quantity increases, by alternating intervals of a given " percent " error with intervals of a given " amount " error : these interpolate between the stairstep decreases in percentage error.
17.
The tolerable error decreases as nominal quantity increases, and is done by alternating intervals where there is a percentage error and intervals where there is a fixed error ( and thus over those intervals the " percentage " error decreases ).
18.
The five measures used to evaluate the accuracy of different forecasts were : symmetric mean absolute percentage error ( also known as symmetric MAPE ), average ranking, median symmetric absolute percentage error ( also known as median symmetric APE ), percentage better, and median RAE.
19.
The five measures used to evaluate the accuracy of different forecasts were : symmetric mean absolute percentage error ( also known as symmetric MAPE ), average ranking, median symmetric absolute percentage error ( also known as median symmetric APE ), percentage better, and median RAE.
20.
:: I always used to explain that the rule ( for science ) is to round "'up "'from half-way because the percentage error will then always be smaller, but that, in statistics, a different rule such as " round to even " would help to avoid bias ."