Manually Calculating the RMSE
The mathematical formula for calculating RMSE is:
Example 1:
Matlab
% The code for calculating the same in MATLAB % Data expected = [31 23 14 10.5 6.5]; experimental = [32.5 21.9 15.1 9 5.2]; % Calculating rmse diff = sum((experimental - expected).^2); rm = sqrt(diff/5); disp(rm) |
Output:
RMSE – Root Mean Square Error in MATLAB
RMSE or Root Mean Squared Error is a general-purpose error estimation that is calculated by computing the square root of the summation of the square of the difference of the prediction of an experiment and its actual/expected value. RMSE is a good error estimation as it tells us how far a line is fit from its actual value. Fields such as Machine Learning and Numerical Analysis have extensive requirements if this measure of error calculation. Let us see how the same can be done in MATLAB.