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Root mean square deviation

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…

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Overview

RMSD of a sample

Formulas

Normalization

Applications

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Map overview Semantic statistics

Root mean square deviation

Nodes55
Edges54
Triples25
Avg. degree1.96
Density0.036364
Components1

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Root mean square deviation

Top relations

has application · 12
Root mean square deviation → CV, In, In GIS, In X-ray, Netflix Prize, NRMSD, RMS, RMSD, RMSE, RMSZ, Submissions, The
related to Normalization · 10
Root mean square deviation → Coefficient, In, Normalizing, NRMSD, NRMSE, Percent RMS, RMSD, This, Though, Variation

Important terminology Word statistics

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Important terminology

rmsd used measure root mean square deviation values value sample data errors error displaystyle coefficient variation observed true also estimation

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
velocity profileinstance ofand percent RMS are used to quantify the uniformity of flow behavior0.80text
temperature distributioninstance ofand percent RMS are used to quantify the uniformity of flow behavior0.80text
or gas species concentrationinstance ofand percent RMS are used to quantify the uniformity of flow behavior0.80text
Root mean square deviationhas applicationIn0.60section
Root mean square deviationhas applicationRMSD0.60section
Root mean square deviationhas applicationIn GIS0.60section
Root mean square deviationhas applicationNRMSD0.60section
Root mean square deviationhas applicationSubmissions0.60section
Root mean square deviationhas applicationNetflix Prize0.60section
Root mean square deviationhas applicationRMSE0.60section
Root mean square deviationhas applicationCV0.60section
Root mean square deviationhas applicationIn X-ray0.60section

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