RMSE
calculates root mean square error from data vector or matrix and the corresponding estimates.
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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://www.mathworks.com/matlabcentral/fileexchange/21383-rmse), MATLAB Central File Exchange. Retrieved .
Acknowledgements
Inspired: rmse(true_values, prediction)
General Information
- Version 1.1.0.0 (466 Bytes)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
