Square mean root error or square mean root deviation or square mean root error (RMSD) or (RMSE) is the difference between the value predicted by the model or statistical estimator and the actual value. RMSD is a good tool for comparing predictive errors by a dataset and is not applicable to comparing multiple datasets.

these discrete differences are also called balances and have the root error of the mean squares to assemble them in a user number.