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The model boot-strapped error estimates described in Additional file 1 can be plotted by selecting the model error bar check box below the list of models.
Finally this type of score with respect to every model was computed and the origin of the sound sample was identified by selecting the model with the maximum log-likelihood.
Akaike's Information Criteria (AIC) [17] has been shown to be a highly reliable way of choosing the best model by selecting the model with the minimum AIC score [14].
The best-fitting model was determined by selecting the model with the lowest AIC value.
This benefit was realized by selecting the model with maximum CVL, but not when selecting the median penalty.
For each variable, the degree of the polynomial is chosen by selecting the model with the lowest Akaike Information Criterion AICCriterion AIC
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Furthermore, the proposed architecture could be adapted to various scenarios and conditions by appropriately selecting the model parameters.
Finally, the kinetic laws, i.e., the dependencies of the reaction rates on concentrations, are constructed by selecting the best model structure from a set of model candidates.
We used the mixed model to control for population structure by selecting the optimal model for different traits (Yu et al. 2006; Zhu and Yu 2009) (Table S2 and Table S3).
With both displacement models, design and prediction of waterflood can be achieved by selecting the appropriate model that fits the waterflood pattern.
This objective is achieved by selecting the proper model specified by λ1 and λ2 that best fits the data and suffices the statistical significance.
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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