Approximation: Difference between revisions
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Created page with "The [https://en.wikipedia.org/wiki/Approximation_error Approximation error] ([https://nl.wikipedia.org/wiki/Benaderingsfout benaderingsfout]) is the difference between a calcu..." |
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The [https://en.wikipedia.org/wiki/Approximation_error Approximation error] ([https://nl.wikipedia.org/wiki/Benaderingsfout 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 [https://en.wikipedia.org/wiki/Approximation_error Approximation error] ([https://nl.wikipedia.org/wiki/Benaderingsfout 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: | The largest relative error between two arrays as percentage: | ||
<syntaxhighlight lang=python> | <syntaxhighlight lang=python> | ||
Latest revision as of 20:26, 25 December 2018
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.