Sentence examples for optimal accuracy of from inspiring English sources

Genetic algorithm is used to find the set of parameter values for the optimal accuracy of the ensemble classifier.

To cope with the fact that the normal component of the gradient of the numerical solution is discontinuous across the faces of the elements, a continuous approximation of the gradient of the numerical solution is recovered at each degree of freedom of the grid and then interpolated with the same shape functions used for the solution, preserving the optimal accuracy of the method.

The study also demonstrates that if absorbances at specific wavelengths are used as proxies for DOC concentration, it is recommended to create site-specific calibration models that include more than one wavelength to achieve the optimal accuracy of the proxy-based DOC quantification.

Figure 2E summarizes the correlation between number of patients and optimal accuracy of TEDG.

A predictive model using RRV during the last SBT provided optimal accuracy of prediction in all patients, with improved accuracy when combined with clinical impression or RSBI.

Larger studies are required to establish whether optimal accuracy of response prediction may be achieved by the development of profiles specific to immunohistochemical breast cancer subtypes.

Nevertheless, since such a biochemically focused, even more lenient, case definition is generally not strictly followed in clinical practice, patients who do not meet all of these criteria may still be diagnosed with AH by their physician thereby contributing to the sub-optimal accuracy of the diagnosis code observed in our study.

Moreover, the method provides the same order of optimal accuracy for the density function ψ, the magnetic potential A, the magnetic field σ= curlA, the electric potential divA and the current curlσ.

A novel staining evaluation method was used to ensure optimal accuracy and reliability of expression data, which were correlated with known clinicopathological parameters.

These algorithms derived in a randomly selected rheumatological sample with a 33% prevalence of RA showed optimal accuracy in identifying clinical diagnoses of RA, with sensitivity/specificity up to 97/85% and PPV/NPV up to 76/98%.

It shows optimal accuracy at Courant numbers of 10 20, more than an order of magnitude higher than explicit methods.