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Model assessment using repeated nested cross-validation (Figures 10, 11, 12, 13, 14 and 15) showed large variation of loss estimates across the nested cross-validation runs.
We conducted a quantitative measurement model assessment using a web-based survey, and collected the data from 37 subjects, and analyzed it.
Model assessment using crossvalidation revealed that the model was robust, and there was little evidence of overfitting.
Model assessment using the cross-validatory method suggested that models I IV all gave adequate fits to the data (figure 4, top).
We also compared the SMBG clusters with the islet graft indexes of the secretory unit of islet transplant objects index, C-peptide-to-glucose ratio, β-score, and corrected homeostasis model assessment using the Spearman correlation coefficient.
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Protein model refinement consisted in iterations of local structure rebuilding followed by energy optimization and model quality assessment using MetaMQAP [39].
The same problem that small changes in data or model in nonlinear contexts are not guaranteed to yield proportionate model outputs or monotonically improved model performance also plagues policy assessment using nonlinear models.
β-cell function and insulin sensitivity and resistance were determined on the basis of the homeostatic model assessment (HOMA), using blood glucose and C-peptide levels.
Second part is a model of spatial quality assessment using three spatial parameters and two distinct approaches.
Homeostasis model assessment was used to assess insulin resistance (HOMA-IR) and β-cell function (HOMA-B) (12).
We have done the assessment using the model described by Jirojanakul et al [ 13].
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com