Sentence examples for the run of classification from inspiring English sources

Useful features in the run of classification accuracies with spectral resolution have been noted and discussed.

For the first run of the meta-classification algorithm, the following target class was chosen: Aneurysm.Ruptured This indicates whether the aneurysm is ruptured and can cause a subarachnoid hemorrhage.

In addition, the absence of running movements decreased the likelihood of classification as a focal seizure with secondary generalisation 0.17 fold vs. a focal seizure (p = 0.004).

The next step is to adapt the energy management depending on the prediction phase, the elapsed time of the application run, and a classification in terms of resources.

It depends on the theory of classification.

The accuracy of classification is 85%.

Reports of running movements were associated with classification as a primary generalised seizures and focal seizures with secondary generalisation, with their absence increasing the likelihood of classification as a focal seizure 9.75 fold vs. a primary generalised seizure (p < 0.001).

Interestingly, the run that bypassed sentence classification performed the best.

They're both part of the same process of classification.

The random error was computed by averaging the error of five runs of the complete classification procedure on data with CTB and French labels randomly assigned to samples.

For CFFR-LR, on the other hand, we are only interested in the running time of performing the location classification, scheduling and bandwidth partitioning.