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The advantages and accuracy of both models are assessed for the application in the design of a CFRP-LVL composite beam.
The predictive capabilities of both models are assessed by comparison with 3D exact solutions, considering multilayered piezoelectric composite plates of different aspect ratios, under an applied transverse load or surface potential.
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The predictive performance of both models is assessed by using experimental results available in literature.
Both models were assessed with the experimental data of Oh and Revankar [Oh, S., Revankar, S.T., 2005a.
The predictive ability of EBV from both models was assessed by cross-validation.
Both models were assessed for collinearity using the 'collin' function in STATA/IC.
Goodness of fit for both models was assessed by using the Hosmer Lemeshow test to 0.05 significance.
Goodness of fit for both models was assessed by using the Hosmer and Lemeshow test to 0.05 significance.
Finally, the full and reduced models are assessed both on the outer training and testing sets (training and testing performances are shown in red and black respectively in Figure 1).
Performance of both the 'full' and jack-knife models was assessed using the area under the curve (AUC) of a receiver operating characteristic (ROC) plot [9].
The predictive accuracy of the CVD risk score models were assessed using both discrimination and calibration.
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