Sentence examples for models we evaluated from inspiring English sources

While prior publications focused on the evaluation and reporting of assumptions made within the models, we evaluated additional model characteristics in depth including testing for model fit, evaluation of convergence, adjustment for covariates or multiarm trials, the specific priors used and availability of the code and aggregated study-level data.

To compare the 2 lactation models, we evaluated the goodness of fit using 6 evaluation criteria.

Using simple empirical degradation models, we evaluated the effect of the crystallinity and the hydrophilicity.

For each of those models, we evaluated some metrics to compare our proposed protocol and other key management solutions.

Using linear mixed models, we evaluated the effects of current and historic fragment size, landscape forest cover and land use changes on the density and basal area at stand level, and considering the two different strata (upper and middle).

To reduce the confounding impact of cumulus parameterization in studying the impacts of land surface models, we evaluated results for the 3.3 km grid spacing domain with explicit convection.

Finally, for both models, we evaluate our algorithms on pairs of plant genomes.

With the trained models, we evaluate our method on the test data from both HumanEva and IXMAS datasets.

To test the modeling capabilities of the constructed language models, we evaluate perplexities on the test text in comparison with their perplexity on the training text.

Based on our analytical models, we evaluate the delay and throughput performance of the real-time applications under various traffic load conditions and system parameter changes.

For each classification model we evaluated several feature selection approaches by using 10-fold-cross-validation.