Sentence examples for values for the classification from inspiring English sources

The specific automated system will categorize the retrieved articles using their abstracts and rank them according to the confidence values for the classification of the articles as 'useful'useful

For the validation set we set minimally acceptable values for the classification probabilities of false and true positive fractions, of 0.05 and 0.95, respectively.

Parameter values for the classification function were optimized using particle swarm optimization where the parameter spaces for the three parameters were explored (ranges in brackets): M [-20, 30], K [0, 2], and D [30, 210].

These advances have led to the development of a novel phase diagram based upon net positive and negative charge per residue values for the classification of IDP and IDR sequences [ 129].

The intended cut-point values for the classification scoring are based on the North American public health PA guidelines, that are defined as follows: individuals reporting moderate-to-strenuous LSI ≥ 24 are classified as active whereas individuals reporting moderate-to-strenuous LSI ≤ 23 are classified as insufficiently active (estimated energy expenditure < 14 Kcal/kg/week) [ 12].

That is, the subjects with the highest tertile of the SCAT probability values for the classification as TE type by professionals were designated as the TE type (n = 1,905), and the same process was used for designating the SE (n = 1,905) and SY types (n = 1,905).

In our study, we analyzed all 866 miRNAs and miRNA star sequences deposited in the miRBase version 12.0 and ranked the miRNAs according to their AUC value for the classification MS versus healthy.

However, this does not come with any clear confident value for the classification.

For each classifier, we defined a cut-off value for the classification in cancer and normal tissues by maximizing the sum of sensitivity and specificity.

The SVM model was also able to compute a confidence value for the classification of an unlabeled article as a 'useful' one.

The first is conceptual: the magnitude of an expected score is hard to interpret by itself without knowing the cut-off value for the classification; it is more revealing to see how a feature would change the score.