Sentence examples for model performance parameters from inspiring English sources

Influential data are those that have a disproportionate impact on model performance, parameters and/or predictions.

Based on the model, performance parameters of a stratospheric airship during ascent are obtained, including film temperature, helium gas temperature, air temperature, pressure differential, altitude and ascent velocity, changing regulation for these parameters are discussed, and influence of initial helium gas volume and film radiation properties on thermal behavior is analyzed.

Five hundred random samples of the cohort were used to define the 95% centiles for model performance parameters; these intervals did not alter when fewer samples were assessed, and so analysis was not performed beyond 500 samples.

Table 3 shows model performance parameters (BIC and MSE) for the hybrid model structure (Fig. 4B) with varying number of hidden nodes (between 2 and 8) and different series of lagged input variables (between 0 and 4 with intervals of 2 or 2.5 hours).

We bring collective information of fault models, performance parameters and offline testing approaches from the literature where aim is to obtain a near optimal solution by efficiently exploring the entire space.

The predictive error caused by model uncertainty was evaluated through analysis of the variability of the model performance and parameters.

We evaluated model performance with parameters informed by four approaches: 1) expert opinion; 2) sensitivity analysis; 3) sensitivity analysis informed model optimization; and, 4) simulated annealing (uninformed) model optimization.

In the assessment of model structure suitability, the consistency (or variability) of catchment response over time and space in model performance and parameter values has been investigated to detect problems related to the temporal and spatial variability of the model accuracy.

Models of signal transduction networks often exhibit complex relationships between model performance and parameter values [38].

Comparing LH performance to DE, we see the power of DE to find regions of high overall model performance in parameter space.

GoF plots and the following showed good model performance: Covariate parameter estimates from NONMEM (Table S6 ) were nearly identical to results from bootstrap analysis.