The root-mean-square error (RMSE) is a frequently used measure of the differences between values (sample and population values) predicted by a model or an estimator and the values actually observed.
Usage
rmse(observados, estimados)
Arguments
observados
vector of values observed.
estimados
vector of regression model data.
Details
rmse = sqrt(mean((observados - estimados)^2))
References
See https://en.wikipedia.org/wiki/Root-mean-square_deviation for more details.