Approximation

From wiki
Jump to navigation Jump to search
The printable version is no longer supported and may have rendering errors. Please update your browser bookmarks and please use the default browser print function instead.

The Approximation error (benaderingsfout) is the difference between a calculated value and the real value. By dividing it by the real value you get the relative error. A bit relative error indicates bad calculation.

The largest relative error between two arrays as percentage:

np.mean(abs(calculated - real))                  # Average of the absolute errors 
np.mean(abs(calculated - real) / real )          # Average of the differences relative to the real values
np.mean(abs(calculated - real) / real ) * 100    # The relative error as percentage.