Sentence examples for model selection performance from inspiring English sources

The results can be useful for pump model selection, performance prediction, hydraulic design and impeller geometry modification.

Such a model is hard to interpret and inclusion of additional covariates in the model may result in poor model selection performance.

The recommendations cover all areas of mapping practice: the selection of data sets for the mapping estimation, model selection and performance assessment, reporting standards, and the use of results including the appropriate reflection of variability and uncertainty.

Furthermore, this paper discusses the impact of meta-parameters in model selection and compares the performance of time-dependent GDM in different plume conditions.

Model selection was judged by performance on the above model assessment criteria and drop in objective function value for nested models (alpha = 0.05).

Use of good strategies for model selection along with adequate performance and goodness of fit measures are, therefore, needed in developing accurate prediction.

However, when we assessed model performance using cross-validation, we were able to demonstrate that the commonly-used stepwise model selection approach has inferior predictive performance to approaches that account for model uncertainty.

The three models are demonstrated and evaluated in sections 'Bayesian change point model'Evaluation'on', and 'Performance analysis' and then compared with respect to goodness of fit in section 'Comparative performance and model selection'.

We perform pertinent model selection and validation diagnostics to assess the performance of our methodology.

Optimal designs are validated by their recovery rates, where the true, data-generating, model is selected under the DIC (Deviance Information Criterion) model selection rule, and by comparing their performance with other test plans.

As the sample had already been used for model selection, this estimate of model performance is overly optimistic.