Sentence examples for model performance such from inspiring English sources

Some aspects affecting the model performance such as spatial resolution, terrain conditions, vegetation index applied and method for deriving the triangle edges have been assessed.

The other measures of the model performance such as the GCV and adjusted r 2 also give worse results than those of the full models h1-h5, when dropping any single effects.

Interestingly, the model without ethnicity in any form was not detectably worse in terms of model performance such that discrimination and calibration were only marginally decreased compared to DPoRT.

The proposed Bayesian methods are not only appealing for inference but notably provide a sophisticated insight into different aspects of model performance, such as forecast verification or calibration checks, and can be applied within the model selection process.

In contrast with comparison of the discriminatory performance of the models, however, inspection of other statistical indices that assess model performance, such as the integrated discrimination improvement index, showed improvement for the models incorporating hippocampal volume or all three MRI variables.

As we will present in the next section, trying to model performance in such a context without taking into account actual capabilities of terminal architectures often conduces to strong constraints on frequency reuse in dense areas.

All model performance measures such as the likelihood, the AIC and BIC never select this model.

Several authors have suggested procedures to improve model performance in such settings: for example removing part of the data to reduce the collinearity (e.g. [ 46]).

To provide better guidance on clinical central nervous system (CNS) candidate selection and development, a more humanized model of cognitive performance such as computer-based disease modeling could be potentially helpful at critical junctures.

Based on the derived exact statistics of these models, performance metrics, such as coefficient of variation, average SNR, outage probability, and average SER, are evaluated.

We advocate that integration of hindcasting and probabilistic metrics provides more rigorous insight on model performance for forecasting applications, such as in this study.