smape: Compute Symmetric Mean Absolute Percentage Error (SMAPE)
In beerda/lfl: Linguistic Fuzzy Logic
smape R Documentation
Compute Symmetric Mean Absolute Percentage Error (SMAPE)
Description
SMAPE is computed as mean(abs(forecast - validation) / ((abs(forecast) + abs(validation)) / 2)).
Usage
smape(forecast, validation)
Arguments
forecast
A numeric vector of forecasted values
validation
A numeric vector of actual (real) values
Value
A Symmetric Mean Absolute Percentage Error (SMAPE)
Author(s)
Michal Burda
See Also
rmse(), mase(), frbe()
beerda/lfl documentation built on Feb. 15, 2023, 8:15 a.m.
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| smape | R Documentation |
Compute Symmetric Mean Absolute Percentage Error (SMAPE)
Description
SMAPE is computed as mean(abs(forecast - validation) / ((abs(forecast) + abs(validation)) / 2)).
Usage
smape(forecast, validation)
Arguments
forecast |
A numeric vector of forecasted values |
validation |
A numeric vector of actual (real) values |
Value
A Symmetric Mean Absolute Percentage Error (SMAPE)
Author(s)
Michal Burda
See Also
rmse(), mase(), frbe()
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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