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The average magnitude error was found to be 5% from the nominal and 4% for average phase error.
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Mean error is a measure of the bias of predictions (the overall tendency to over or under predict) whilst mean absolute error is a measure of overall precision (the average magnitude of error in individual predictions).
We report the mean of the logarithm of the data to best capture the average magnitude of error.
This is because the RMSE gives a relatively high weight to larger errors in measuring the average magnitude of the error, while the MAE uses an equal weight in the average.
In sharp corner cutting the DSFD reduced the maximum tracking error by 38% and the average magnitude of the error by 39%.
Not accounting for the real geometry of the specimen slightly increased mean displacement magnitude error and average angular error to 3.3% and 5.4°, respectively.
In sinusoidal profile cutting the maximum tracking error was reduced by 83% and the average magnitude of the error was reduced by 63%.
The living wage takes effect midway through 1998, so the percentage of observations with the wrong living wage (and the average magnitude of the error) is fairly small in that year.
No compensation resulted in unacceptable mean displacement magnitude error (34.8%) and to an average angular error of 6.2°.
Full compensation (evaluated with the one-to-one comparison method described in section 2.4) reduced the mean displacement magnitude error to approximately 3%, and the average angular error to 5.0°.
It is known that RMSE describes the average magnitude of the errors between the observed values and the calculated results.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com