Sentence examples for classification as high from inspiring English sources

With this cutoff we guarantee both an accuracy of 83% and a precision of classification as high as 80%.

The IPAQ Research committee propose two criteria for classification as high: a) vigorous-intensity activity on at least 3 days achieving a minimum total PA of at least 1500 MET-minutes/week or b) 7 or more days of any combination of walking, moderate-intensity, or vigorous-intensity activities achieving a minimum total PA of at least 3000 MET-minutes/week.

15 We calculated sensitivity, specificity, and likelihood ratios for classification as high urgency and low urgency (likelihood ratio+=sensitivity/(1−specificity) and likelihood ratio−=(1−sensitivity)/specificity).

Species were selected due to their classification as high impact invaders by the UK Technical Advisory Group for the EU Water Framework Directive.

The two criteria for classification as "high" were (a) vigorous intensity activity on at least 3 days, achieving a minimum total physical activity of at least 1500 metabolism equivalent (MET -minutes/week or (b) 7 or MET -minutes/weekcorbination of walking, moderate-intensity, or vigorous-intensity activities, achieving a minimum total physical activity of at least 3000 MET-minutes/week.

As result, the highest classification rate as high as 94.7% is achieved in session During.

The main outcomes are an average localization error lower than 2 m in 80% of the cases and a movements classification accuracy as high as 90%.

These cross-correlation aided SVM classifiers have been employed for some benchmark EEG signals and the proposed method could achieve classification accuracy as high as 95.96% compared to a recently proposed method where the reported accuracy was 94.5%.

In Fig, 3, our method gMSV can achieve the classification accuracy as high as 97.16% on the fMRI dataset, which is significantly better than the union of other subgraph-based features and side view features.

We consider three classes: sedans, vans, and taxis, and record classification accuracy as high as 99.25% in case of cars vs vans and 97.57% in case of sedans vs taxis.

Furthermore, two genes – the 481th (BC009696) and the 801th (BC000514) – permitted classification accuracy as high as 86%, which is greater than the 82% achieved by Sharma and coworkers [ 1] with the selected 37 genes.