Sentence examples for models performance and from inspiring English sources

Not only are they severely biased, they also lack semantic compositionality, and do not provide any tools or measures to gain significant insight into models' performance and behavior.

Feedback from the users of the Dashboard regarding the models' performance and assessment provides useful input and is taken into account in the development of iterative versions.

These intervals were shown to be in agreement with the cumulative Gaussian distribution when using the radial and NP kernels, but not always for the Bessel or Laplacian kernels, highlighting that the kernel choice has to be made in the light of both models performance and reliability of the predicted variances.

Details of the models' performance and validation are shown in Table  4.

In this paper, we focus on the influence of land use change on LS zonation, exploiting different modeling strategies, analyzing the models' performance and quantifying the difference between the outputs.

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.

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

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

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.