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The standard deviation of the model error was around 6 dB for the best model.
For neural nets, they are summarized as the mean and standard deviation of the model accuracy.
As shown in Fig. 5d, a significant deviation of the model (solid line) from experimental data is evident.
This is why we observe a higher deviation of the model than without energy harvesting (β=0).
The standard (mean square root) deviation of the model from the data is found to be around 14%.
The average relative deviation of the model on the training and validation datasets was approximately 0.1% while the Rackett model gave a relative deviation of more than 1.6%.
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The y-axis is the average AUC and standard deviation of the models.
Figure 7 Confidence intervals calculated from the ensemble standard deviation of the models present in the model ensembles.
Concerning targets without depth information, our initial idea was to approximate their depth from their size, but we invalidated this idea given the standard deviation of the models, which was generally quite high.
Cpred, ij represents the prediction of concentration and εij is the deviation of the model-predicted value from the observed concentration.
An implicit unconditionally stable numerical difference scheme of the linear form of the derived model is used to illustrate deviations of the model from the homogeneous medium.
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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