Root-mean-square deviation  From Wikipedia, the free
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Jump to: navigation, search  The root-mean-square deviation
(RMSD) or root-mean-square error (RMSE) is a frequently used
measure of the differences between values predicted by a model
or an estimator and the values actually observed. Basically, the
RMSD represents the sample standard deviation of the differences
between predicted values and observed values. These individual
differences are called residuals when the calculations are
performed over the data sample that was used for estimation, and
are called prediction errors when computed out-of-sample. The
RMSD serves to aggregate the magnitudes of the errors in
predictions for various times into a single measure of
predictive power. RMSD is a good measure of accuracy, but only
to compare forecasting errors of different models for a
particular variable and not between variables, as it is scale-
dependent.[1]   The RMSD of an estimator \hat{\theta