RMSE

Version 1.1.0.0 (466 Bytes) by Felix Hebeler

calculates root mean square error from data vector or matrix and the corresponding estimates.

15.3K Downloads

Updated 31 Mar 2016

Short script that calculates root mean square error from data vector or matrix and the corresponding estimates.
Checks for NaNs in data and estimates and deletes them and then simply does:
r = sqrt( sum( (data(:)-estimate(:)).^2) / numel(data) );
That's it.

Cite As

Felix Hebeler (2026). RMSE (https://ch.mathworks.com/matlabcentral/fileexchange/21383-rmse), MATLAB Central File Exchange. Retrieved January 17, 2026.

MATLAB Release Compatibility

Created with R2006a

Compatible with any release

Platform Compatibility

Windows macOS Linux

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Acknowledgements

Inspired: rmse(true_values, prediction)

rmse(data,estimate)

Version	Published	Release Notes
1.1.0.0	31 Mar 2016	Updated description and code for better readability and BSD update	Download
1.0.0.0	13 Oct 2008	By popular demand: using sum(data(:)) instead of sum(sum(data)). Thanks!	Download