Sentence examples for model evaluation are from inspiring English sources

Results from the PLSA model training and model evaluation are presented in Tables 2, 3, and 4 and Figure 7.

Residual based methods of model evaluation are highly subjective and offer no good guidance for understanding the hazard function.

Algorithms used to describe Hg speciation, transport, and bioaccumulation in these models and model evaluation are described elsewhere (Barber 2006; Knightes 2008; Knightes et al. 2009).

That is not to say that language alone will solve our problems or that the problems of model evaluation are primarily linguistic.

Results from a model evaluation are shown in Table 2. Scatter-plots of predicted versus monitored concentrations, set against one-to-one lines representing perfect correlation, can be seen in the Supporting Information.

In addition to the sensitivity analyses detailed in this section, a more formal model evaluation was performed to ensure the newly developed modeling system was performing as expected.

Model evaluation was conducted via comparing exposure and dose-modeling predictions against duplicate diet data and biomarker measurements, respectively, for the same individuals.

The model evaluation is carried out through 18 case studies.

Model evaluation is a central point for developers.

Model evaluation was done using the adjusted R-square of the regression.

Model evaluation is an essential milestone of model development to increase confidence in the predictions.