Sentence examples for model evaluation criteria from inspiring English sources
This approach highlights the importance of high frequency monitoring data for setting robust model evaluation criteria.
In other words, their overlapping percentage was considered as the model evaluation criteria that represent the accuracy of the model.
However, in modified polynomial third order regression, all model evaluation criteria had been confirmed the accuracy of the developed model.
Second, in order to show that SDG-Pro enables easier, efficient and more intuitive development of IoT cloud applications, we compare it against traditional programming model evaluation criteria that include: readability, code simplicity, reusability, expressiveness and functional extensibility.
The model which is mostly fit to both describe the past rainfall data and thus generate the most reliable future forecasts is selected rated by means of both the AIC- and BIC- (SBC-) model evaluation criteria.
The authors found that models inputted with infrastructure, vegetation management, ProxPix, performed up to 5 13% better than simpler models depending on model evaluation criteria and input data; and that the model forced with utility infrastructure and ProxPix had the best overall performance.
The Nash Sutcliffe equation (NSE) is used as the model evaluation criterion.
Finally, a model evaluation criterion proposed in this study was used to assess the models and to identify the best one, which was based on both the goodness of curve fits and comprehensive goodness of the fits.
Models for each sequence were built using MODELLER [42], and evaluated for the general trend of atomic interaction by statistical potential [43] and a composite model evaluation criterion [44].
In order to evaluate the robustness of the statistical scenarios forecasting model, two evaluation criteria are defined to characterize the error relationship between forecasted and actual values of ramp event characteristics.
Squared deviations of the response functions from the target values are used as the model performance evaluation criteria, thus shifting the problem into the multicriteria framework.
