Sentence examples for a more correct classification from inspiring English sources

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This procedure allows a more correct classification in questionable cases.

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This classification had long been recognized to be artificial, and in 1985, Ehlers proposed a phylogenetically more correct classification, where the massively polyphyletic "Turbellaria" was split into a dozen orders, and Trematoda, Monogenea and Cestoda were joined in the new order Neodermata.

The cfNRI was 62%, indicating that about one-third of all patients will benefit from a more correct risk classification (cfNRI max is 200%) when adding plasma HBP to known clinical risk factors.

Controls made more correct classifications in response to upright compared to inverted faces (t(6) = 6.170; p = .001) as did persons with congenital prosopagnosia (t(6) = 2.808; p = .031).031

However, a score of 27 or more provided an overall correct classification rate of 80%% in a large sample of motor vehicle accident survivors comprising both genders (Coffey et al. 2006), and has previously been used in cancer (Purnell et al. 2011).

However, a total score of 27 or more provided an overall correct classification rate, for traumatic stress, of.80 in a large sample of motor-vehicle-accident survivors including both genders (Coffey, Gudmundsdottir, Beck, Palyo, & Miller, 2006), and has previously been used for cancer (Purnell et al., 2011).

Note that when using a realistic number of 800 SNPs or 20 STRs, more categories could be assigned at a given correct classification rate level by SNPs than by STRs (Table 2).

Although sensitivity is a desirable quality for biomarkers (sensitive biomarkers do not erroneously classify positive cases), more specific biomarkers are needed for a correct classification of cases.

This method was evaluated against the Fisherface algorithm and exhibited much more stable performance across a wide range of illumination, it alsoachieved a correct classification rate of 70% versus 20% for Fisherface on the equivalent test data.

The curves depict the correlation between a false positive rate and a correct classification rate.

(A ) Average posterior probability of a correct classification of target location, across time, separately for 'Seen Correct' and 'Unseen Correct' trials, for classifiers trained on EOG channels only.

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