Take a FRBE forecast and compare it with real values using arbitrary error function.
A FRBE model of class
A numeric vector of real (known) values. The vector must
correspond to the values being forecasted, i.e. the length must be the same
as the horizon forecasted by
Error measure to be computed. It can be either Symmetric Mean
Absolute Percentage Error (
Take a FRBE forecast and compare it with real values by evaluating a given error measure. FRBE forecast should be made for a horizon of the same value as length of the vector of real values.
Function returns a data.frame with single row and columns corresponding to the error of the individual forecasting methods that the FRBE is computed from. Additionally to this, a column "avg" is added with error of simple average of the individual forecasting methods and a column "frbe" with error of the FRBE forecasts.
Štěpnička, M., Burda, M., Štěpničková, L. Fuzzy Rule Base Ensemble Generated from Data by Linguistic Associations Mining. FUZZY SET SYST. 2015.
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