Sentence examples for highest level of model from inspiring English sources

The numerical model outcomes, with a relative error of 3.8%, best matched the reality and the analytical method, with a relative error of 27.8%, yielded the highest level of model uncertainty.

An error analysis, based on well-known statistical indicators, i.e., mean bias error (MBE), root mean square error (RMSE), and the coefficient of determination (R2), reveals that the combination of Collares Pereira, Miguel, Perez, proposed irradiation model, and Eq. (24c) achieves the highest level of model accuracy for the cell temperature.

An error analysis, based on well-known statistical indicators, i.e., mean bias error (MBE), root mean square error (RMSE), and the coefficient of determination (R2), reveals that the combination of the Collares-Pereira, Miguel, and Perez models, the proposed irradiation model, and Equation 24c achieves the highest level of model accuracy for the cell temperature.

In principle, the SD modeling approach is suitable for a high level of model transparency.

Meticulous care has been taken to retain the physical functional relationships and achieve a high level of model accuracy and computational efficiency.

As a result, the proposed SEM model showed statistical significance as well as a high level of model fitness (GFI = 0.928).

A comparative analysis of AUSLEM output with independent national and international wind erosion, atmospheric aerosol and dust event records indicates a high level of model competency.

These approaches require a high level of model complexity, but despite this they are not sufficient to capture the combination of plastic crown sizes, irregularity, and space-filling that characterizes real canopies.

This indicates a high level of model validation and accuracy.

The shrinkage coefficient was 1.5%, indicating a high level of model generalizability.

Our goal was a high level of model accessibility and readability through (a) tight web-based integration of the model with extensive model query and visualization tools, and (b) a model representation that captures extensive information that enriches the model and aids its understanding, such as metabolic pathways, chemical structures, and genetic regulatory information.