Sentence examples for relevance for classification from inspiring English sources

Exact(3)

Therefore, the contribution of each feature is tuned according to its relevance for classification which leads to more generalizable and interpretable sparse models for classification.

The presented description of variants will convey relevance for classification of variants in future diagnostic setting.

Musumarra et al. described the PLS method as dimension reduction method and used the weight vectors to order genes in term of their relevance for classification problem.

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Below we summarize this phenotypic spectrum, its relevance for nosological classification of HPRT deficiency, and its biological basis.

In the case of univariate PLS applied to binary classification problems, the weight vector w1 = (w11, ……, w p1) defining the first latent component may be used to order the p genes in terms of their relevance for the classification problem.

Various available versions of the MRMR approach have been designed to search for variables with the largest relevance for a classification task while controlling for redundancy of the selected set of variables.

To adress the question of a possible clinical relevance for our classification, we first focused on the bioclinical features of the tumours from the 9 subgroups that were defined as robust by the Chi2 analysis.

An analysis of the decision trees built by J48 for different datasets revealed that, in datasets where both GO terms and PPI-related attributes are used, the latter tended to be chosen more often to label the root node of the trees, suggesting their greater relevance for the classification of DNA repair genes.

Other classifiers could have been also used and compared, however this study is a study on the relevance of acoustic parameters for classification in general.

Then, a subset of features is selected based on minimum-Redundancy Maximum-Relevance (mRMR) method [14] for classification (Fig. 3d).

While deep phylogenetic information might be of little relevance for molecular epidemiology, unequivocal classification of bacterial strains is essential for many other applications.

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