Sentence examples for modelling was evaluated from inspiring English sources

The predictive accuracy of the modelling was evaluated using C-statistics (the area under the receiver operating characteristics curve), along with three measures traditionally used with clinical screening tools: sensitivity, specificity and positive predictive value (PPV).

In experiments, the model was evaluated using metrics of precision and recall.

The performance of the models was evaluated using MAE and RMSE.

Each model was evaluated using a10-fold cross validation.

The use of advanced LES turbulence modeling was evaluated.

Each model was evaluated on a training set.

The best-fitting model was evaluated using the correlation coefficient.

Second, the model was evaluated in a simulated soccer environment.

Finally, the robustness of the API quantification model was evaluated.

Support for these models was evaluated using Akaike Information Criteria.

Finally, the robustness of the model was evaluated.