Root mean square deviation
Statistical measure
Nº Q29037 ★★
Uncommon · History
Root mean square deviation
Statistical measure
The root mean square deviation (RMSD) or root mean square error (RMSE) is a frequently used measure of the distances between actual observed values and an estimation of them (e.g. true/predicted in regression tasks of Machine learning). The deviation is typically simply a differences of scalars; it can also be generalized to the vector lengths of a displacement, as in the bioinformatics concept of root mean square deviation of atomic positions.
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From Wikipedia
The root mean square deviation (RMSD) or root mean square error (RMSE) is a frequently used measure of the distances between actual observed values and an estimation of them (e.g. true/predicted in regression tasks of Machine learning). The deviation is typically simply a differences of scalars; it can also be generalized to the vector lengths of a displacement, as in the bioinformatics concept of root mean square deviation of atomic positions.
Text: Wikipédia, CC BY-SA 4.0. ·
