Normal | Root-Mean-Square Deviation (RMSD/RMSE)
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RMSD / RMSE is a calculation to easily find the difference between a predicted model and actual observed values.
There are two routes to achieve this. The more complex (root-mean-square error) requires a prediction and observation of equal length, where;
RMSE = √ Σ(Ai - Bi)2 / n
The simpler (root-mean-square deviation) execution swaps the predicted data set for a singular nominal value;
RMSD = √ Σ(Xi - Xnom)2 / n
Calculator
To use, enter the observed values as a comma-delimited or new-line-delimited list. The Predicted values field may be a list with size equal to that of the observed list (RMSE) or a single nominal value (RMSD).
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