The root-mean-square error (RMSE) of predictions for observed values is the square root of the
mean square error,
It has the same units as the observations and weights large errors more heavily than the mean absolute error. For the same set of
errors, the inequality between the root-mean-square and arithmetic mean gives .
for observed values 
is the square root of the
mean square error,
.
