rmse: Compute Root Mean Squared Error (RMSE)
In beerda/lfl: Linguistic Fuzzy Logic
rmse R Documentation
Compute Root Mean Squared Error (RMSE)
Description
RMSE is computed as sqrt(mean((forecast - validation)^2)).
Usage
rmse(forecast, validation)
Arguments
forecast
A numeric vector of forecasted values
validation
A numeric vector of actual (real) values
Value
A Root Mean Squared Error (RMSE)
Author(s)
Michal Burda
See Also
smape(), mase(), frbe()
beerda/lfl documentation built on Feb. 15, 2023, 8:15 a.m.
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.
| rmse | R Documentation |
Compute Root Mean Squared Error (RMSE)
Description
RMSE is computed as sqrt(mean((forecast - validation)^2)).
Usage
rmse(forecast, validation)
Arguments
forecast |
A numeric vector of forecasted values |
validation |
A numeric vector of actual (real) values |
Value
A Root Mean Squared Error (RMSE)
Author(s)
Michal Burda
See Also
smape(), 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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.