Sentence examples similar to reaching the classification from inspiring English sources

The GVFD status was matched with GON status to reach the classification of definite, probably, possible, or no glaucoma based on the Rotterdam Eye Study criteria.25, 28 Rotterdam Eye Study criteria was used in order for the results of this study to be comparable with other studies on NHANES database.

This finding suggests that as BMI reaches the classification of obesity, the risk of these adverse outcomes increases.

Next, the number of samples that reach the classification target mask (e.g., STN or striatum) was measured.

To control for the difference in mask-size, the number of voxels in the seed mask for which a minimum of 10 samples reached the classification mask (Aron and Poldrack 2006; Aron et al. 2007; Forstmann et al. 2012) was divided by the total number of voxels in the seed mask.

If bathing water has still not reached the classification "good" within three years, it shall be considered as not being in conformity with this Directive.

Consequently one critical question arises and still needs to be answered: how to choose the set of features to able to reach the maximum classification rate for a given classification technique.

As the methylation mechanism is (at least partly) age related, and progressive, a similar selection of tumors methylated on one of the other CIMP markers would have also shown more frequent methylation on these than other CIMP markers including MLH1 and occurring in tumors not reaching the CIMP-high classification yet.

Reaching the maximum amount, the classification accuracies initiate to reduce up to the SVM results.

In large parts of the Midwest, the drought has reached the worst classification possible, a D4 drought that could bring "exceptional and widespread crop and pasture losses" and "water emergencies" due to shortages in reservoirs, streams, and wells, according to the U.S. Drought Monitor, an organization run by a collection of government and academic groups.

A very interesting observation arising from Fig. 5 is that random search reached the optimal classification effectiveness (as measured by accuracy) in the least number of iterations, below 10 in the majority of cases.

SVM and Naïve Bayes reach the highest classification performances on all tested datasets.