Sentence examples for model performance and from inspiring English sources

In this present article we proposed a modeling framework for assessing exposure model performance and the role of spatial autocorrelation in the estimation of health effects.

Model performance and accuracy of the estimated parameters were evaluated using accepted metrics and bootstrap resampling.

Cross-validation procedure was used to evaluate model performance and uncertainty.

Kappa statistics were used to objectively assess model performance and model agreement.

This research provides intensive analysis and evaluation of the model performance and behavioral characteristics.

The impact of incorporating existing engineering knowledge on neurofuzzy model performance and interpretation is also investigated.

We compared models trained on different combinations of all presence-absence and only continental presence-absence data (Fig. 1) to compare model performance and spatial variability in CRHS (Supplemental Fig. 25).

Thus, the levels of the pivot miRNAs are the most important factors governing model performance, and must be reproducible on independent platforms if these models are to proceed to clinical application.

The predictive error caused by model uncertainty was evaluated through analysis of the variability of the model performance and parameters.

This study investigates the influence of such a coarsening of model grid on model performance and prediction uncertainty.

It was found that random errors in measured data had minor impact on the model performance and sensitivity.