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The average error is only 0.71%.
The standard error is slightly larger than the average error.
The average error of road identification is 16.2%.
The group's prediction will have less error than the average error of its individual members.
So this is the average error on all possible xy pairs of my estimator.
In the first model (power equation) the average error obtained was 3.7% and in the second model (specific energy) the average error was 6.8%.
In either case the ratio of the average error in the resultant energy level to the average error in the coupling loss factor decreases as the errors increase.
The performance of each locus was evaluated by calculating the average error (Ea) among the samples (see equation 2).
The average error between the simulated and analytical power conversion efficiency is less than 5%.
The average error of the predictions was less than twice the 0.2 experimental error.
The average error in model-predicted ultimate D-loads was about 6.5% on the conservative side.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com