Sentence examples for evaluation error from inspiring English sources

By comparing the evaluated results obtained using our suggested method with the nominal inner diameters of the joints, the maximum evaluation error is found to be less than 0.05 mm, which is less than 0.294% of the inner diameter of the pipe, which indicates that a high precision evaluation method is established.

Figure 10 Evaluation error system.

For a large form such as the resident evaluation, error checking statements were hundreds of lines long and could take two to three days to develop.

(2) If a PM response was made but the participant incorrectly reported that the action was omitted, we denote this evaluation error as 'Action-yes/Report-no'.

Furthermore, as in the case of any other gold standard evaluation, error analysis is qualitative, the process of interpreting and discussing the errors being subject to the observations made by the evaluator.

Thus there are two possible 'evaluation' errors: (1) If a PM response was not made (i.e., an omission error) but the participant incorrectly reported that the action was performed successfully, we denote this evaluation error as 'Action-no/Report-yes'.

Secondly, this paper also theoretically analyzes the evaluation errors of the thermal conductivity of a sampling medium (km) due to the new and classical solutions.

The computational efficiency along with the accuracy of this method is also assessed by analyzing the metamodeling and evaluation errors in different optimization steps and different sample sizes.

Quantitative analysis shows that temperature uncertainty can indeed induce substantial evaluation errors of gas diffusivity, limiting current density and concentration polarization, which in turn verifies the necessity of the multifunctional sensor device for the accurate diffusivity measurement in fuel cells.

This phenomenon of lower probability of static evaluation errors with increasing search depth is revealed through our model, although the same evaluation function is used at all levels of the tree, and although its general error probability is independent of the depth.

The retained values are α1 = 1, α2 = 0.1, β1 = 0.1, and β2 = 0.1, which are chosen to minimize the average evaluation errors for synthetic data.