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Previous work address OOV detection as a binary classification task, where each region is independently classified using local information.
At this stage, we deal with a binary classification problem.
What's more, every book was treated as if it were a fresh, unseen manuscript and then marked not just with a binary classification of "likely to chart" or "likely not to," but also with a score indicating its likelihood of being a bestseller.
A SVM deals with a binary classification problem.
Each data set is concerned with a binary classification for different types or subtypes of cancers.
It was then used to define three groups with a binary classification of low and high HSBp.
We utilize ART1 to filter a training set, which works with a binary input.
A cross-validated classification tree analysis resulted in a binary classification schema with sensitivity 98.2% and specificity 80.0% for correct classification of amenorrhoea.
Samples with 0 1 and with 2 3 immunoreactivity were subsequently pooled together, in a binary classification.
For example, in a binary classification (K = 2) with 50 input nodes representing 50 SNPs, and two hidden nodes, the number of parameters is 108.
Due to the habit of working outdoors in bare feet, a binary classification of indoor/outdoor work was used as a proxy for exposure risk to soil transmitted helminth infection.
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CEO of Professional Science Editing for Scientists @ prosciediting.com