Sentence examples for measures of binary from inspiring English sources

Third, it is assumed that the binary relevance quality evaluation presented in this paper is quantitative and performed with the use of precision, recall and F-measure the most widely used measures oF-measure thesification quality [6].

The concept of subsquares of uniform semi-Latin squares is studied, new applications of the DESIGN package for GAP are developed, and exact algebraic computational techniques for comparing efficiency measures of binary equireplicate block designs are described.

These data with simulated outliers allows for the use of measures of binary classification performance during the evaluation.

Further studies including measures of binary toxin in stool, analyses of CDI mortality caused by CDT-producing strains, and examination of the relationship of CDT expression to TcdA and TcdB toxin variants and PCR ribotypes are needed.

Given a gene expression data set D, a set of candidate genes G, and the kNN classifier, the three performance measures of binary classification are denoted by (a) Error(G ): generalization error; (b) AUC G ): area under the ROC curve; (c) MCC G Matthewsews correlation coefficient.

We developed a new complexity measure of binary patterns, and estimated the minimal network size for memorizing them as a function of their complexity.

Recall measures the number of correctly identified positive instances, precision describes the correctness of positive predictions and the MCC is a balanced measure of binary classification effectiveness, ranging from −1 to 1, with 1 referring to perfect prediction.

Recall measures the fraction of correctly labelled positive examples, precision describes the correctness of positive instances prediction, whereas MCC is a balanced measure of binary classification effectiveness, ranging from −1 to 1, where 1 corresponds to error-free class labelling and −1 to reverse classification [7, 35].

Ben Van Calster et. al. extend the main measure of binary discrimination, the c-statistic or area under the ROC curve, to nominal polytomous settings by polytomous discrimination index (PDI) [ 24].

In their study, the QSPR methodology was applied to 4679 data points of experimentally measured densities of binary liquid mixtures compiled from the literature, corresponding to 271 binary mixtures.

The assumption that different inhibitors targeted different efflux pump types was confirmed when comparing measured effects of binary inhibitor compound mixtures in dye accumulation assays with predictions from mixture effect models.