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In order to validate the new model, the predictions are compared with experimental data in prior literatures.
To check the validity and accuracy of the analytical model, the predictions are compared with those obtained using the method of computational fluid dynamics (CFD).
After selecting and importing the training set (using the button "Select file with objects") and the model (using the button "Select CPANN model") the predictions for the training set can be made using the button "Make predictions for the objects".
Thus, if new molecules, or as in our case Diels-Alder reactions, represented by chemical descriptors fall outside applicability domain of the model, the predictions of the model become unreliable.
In order to compare the precision of the proposed model with Gunes et al. (2006) model, the predictions of debonding load for the beams of this research which obtained based on Gunes model, along with the predictions of present model were also presented in Fig. 11.
To assess the validity of the present model, the predictions based on the proposed micromechanical elastic model are compared with Hashin's theoretical bounds [Hashin Z. Analysis of properties of fiber composites with anisotropic constituents. J Appl Mech: Trans ASME 1979 46 543 50].
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For the gerbil threshold model, the prediction was best if the two preceding years were included.
On the basis of this model, the prediction value was calculated followed by ROC curve analysis.
In this parametric model, the prediction errors were fully signed and varied across trials and subjects.
RP modelled the predictions using GENSTAT and verified the statistical integrity of the analysis.
The top 100 genes were included in a multivariate Cox model as the prediction model.
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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