Sentence examples for the specificity of the classifier from inspiring English sources

We also assessed the specificity of the classifier for the discrimination of controls known to have airflow obstruction (measured by GOLD score).

We assessed the specificity of the classifier genes by analyzing 44 of the 54 genes that gave consistent results for different samples by qRT-PCR, in the macrophage cell line MT2 [47].

As the current treatment paradigm largely uses anti-TNF therapy after the failure of oral disease-modifying antirheumatic drug (DMARDs), we selected the classifier to minimize the false identification of non-responders (i.e., the incorrect identification of responders as potential non-responders) and maximize the specificity of the classifier.

Because we had no new independent normal samples to evaluate the specificity of the classifiers, we adopted a variant of a resampling approach to estimate the overall accuracy on the independent set (described in the methods section).

The specificity of the classifiers trained on the hepatobiliary data without set expansion was very low.

The specificity of the classifiers was practically identical to that of the main analyses (Table 2 ).

At sensitivity levels obtained by GATK (0.8230, Supplementary Table S6), the specificity of the classifiers was 0.9772, 0.9772, 0.9747, and 0.9721 for RF, SVM, BART and Logit, respectively (Supplementary Table S7), whereas GATK specificity was 0.8883.

These findings provide further support for the specificity of the 17-gene classifier to detect melanoma specifically.

We hypothesize that the conversion of gene expression data to module activity functions as a regularization step, where the extent of the regularization is controlled by the specificity of the modules, resulting in more stable classifiers.

The specificity of a classifier is the accuracy of classifier to correctly predict the negative cases in the data set.

Although this probeset could be used to construct a classifier with a reasonably large margin, the presence of a sample of normal tissue with expression close to the cancer group drastically reduces the specificity of a classifier based upon this probeset.