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The predictive qualities of the model are demonstrated using permeation data from the literature.
The neutral models serve as benchmark and the difference in performance with the model under investigation can be attributed to the endogenous qualities of the model.
With an AUC of 0.870 (average of 10 models), predictive qualities of the model can be considered good.
Customization improved the statistical qualities of the model but gave poor uniformity of fit.
The qualities of the model structures were independently verified with the PROCHECK [ 90], WHATCHECK [ 91] and PROSA programs [ 92].
We also investigated whether the addition of blood glucose and the presence of an infarct on brain scan enhanced the prediction qualities of the model for death.
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Primarily, the qualities of the models appear on average to increase somewhat.
The quality of the model is assessed by comparing the modeled and measured log data as shown in Fig. 17.
Preliminary tests indicate the good quality of the model.
The Goodness of Fit (GoF) statistics stands for the quality of the model.
The quality of the model was analyzed by PROCHECK (Laskowski et al. 1993).
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