Difference between revisions of "Performance measures"
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Here is a selection of measures you can use for assessing the performance of your model. | Here is a selection of measures you can use for assessing the performance of your model. | ||
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===Nash-Sutcliffe efficiency=== | ===Nash-Sutcliffe efficiency=== | ||
This one is implemented as NSeff() in the topmodel package, and takes two vectors, containing the simulated (Qsim) and observed (Qobs) discharge: | This one is implemented as NSeff() in the topmodel package, and takes two vectors, containing the simulated (Qsim) and observed (Qobs) discharge: | ||
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NSeff <- function (Qobs, Qsim){ | NSeff <- function (Qobs, Qsim){ | ||
Revision as of 04:38, 5 May 2008
Introduction
Here is a selection of measures you can use for assessing the performance of your model.
Nash-Sutcliffe efficiency
This one is implemented as NSeff() in the topmodel package, and takes two vectors, containing the simulated (Qsim) and observed (Qobs) discharge:
NSeff <- function (Qobs, Qsim){
Qsim <- Qsim[!is.na(Qobs)]
Qobs <- Qobs[!is.na(Qobs)]
Qobs <- Qobs[!is.na(Qsim)]
Qsim <- Qsim[!is.na(Qsim)]
NS <- 1 - (sum((Qobs - Qsim)^2)/sum((Qobs - mean(Qobs))^2))
return(NS)
}
Eff <- NSeff(Qobs,Qsim)