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Homeostasis model assessment was used to assess insulin resistance (HOMA-IR) and β-cell function (HOMA-B) (12).
Insulin sensitivity, as assessed using homeostasis model assessment, was lower in people with type 2 diabetes than in control subjects (P < 0.05) (Table 2).
The most efficient ANN model assessment was 0.030 g/l for actual value 0.038 g/l of biosurfactant yield, 31.67% for actual value 31.68% of emulsification index, and 21.6 dyne/cm for actual value 21.5 dyne/cm of surface tension respectively.
Model assessment was found to adequate.
Model assessment was done using Schoenfeld and martingale residuals.
Model assessment was done using graphical methods, Schoenfeld and martingale residuals.
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Model assessment is important to distinguish between procedures to parameterize (calibrate) a model and those to validate a model.
Other reported properties that are useful for model assessment are flame surface density and global consumption speed, which is one type of turbulent burning velocity.
The procedure integrating parameter selection, uncertainty propagation, uncertainty quantification, parameter calibration, and model assessment is suitable for models with massive degrees-of-freedom and complex input output relationship.
The details of the model specifications, estimation, data augmentation and the model assessment are described below.
This model assessment is deployed to be robust to the potential influence of outlier cities.
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