Exact(60)
We therefore evaluate model features below.
The RMS error is widely used to evaluate model performance.
Cross-validation procedure was used to evaluate model performance and uncertainty.
Both the root mean square error (RMS) and the relative error are used to evaluate model performance.
These approaches rely on different model selection strategies and use different criteria to evaluate model fit relative to its complexity.
Different kinetic models are applied on experimental data to evaluate model parameters and their applicability.
Model calibration and sensitivity analysis of such models are critical to evaluate model performance.
Analysis of variance (ANOVA) was used to evaluate model fitness and determine optimal conditions.
Finally, whey protein isolate was used to evaluate model parameters in real conditions.
Triaxial tests of concrete cubes are used to evaluate model parameters.
We surveyed 20 sites for amphibian species to evaluate model predictions.
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