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Finally, model validity was achieved through cross-model validation.
SVM model validity was also checked by cross-validation, i.e., leave-one-out method.
Model validity was established, 20 including internal validation with primary clinical data (R between model outcomes and primary data was >0.97 for both end stage renal disease and mortality at five years) and external validity by comparing with other published reports.
Model validity was performed using ROC curves.
Model validity was based on replication of stock reference behaviours with sensitivity evaluated using parameter perturbation and Monte Carlo simulation within a fractional factorial sampling design.
Model validity was not found to be very sensitive to the number of segments over the tested range of operating conditions.
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All of the nonnegativity restrictions required for model validity were satisfied.
The model validity is demonstrated with numerical examples on two test networks.
The model validity is examined against some commercial MEE-TVC systems.
The model validity is further evaluated by comparison with dislocation densities from X-Ray Diffraction measurements.
Model validity is guaranteed by the sensitivity and what-if analysis used by the model, as described in next section.
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