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Exact(6)
Between class dissimilarity measure is quantified as delta_{ij}^{(xy)}=1-b_{ij}.
The energy saving potential for each commissioning measure is quantified with a calibrated building simulation model.
This measure is quantified by calculating the area under the receiver operating characteristic curve c-statistic; a value of 0.5 represents chance and 1 represents perfect discrimination.
This measure is quantified by calculating the area under the receiver operating characteristic curve (AUROC) statistic; where a value of 1 represents perfect discrimination.
This measure is quantified by calculating the area under the receiver operating characteristics curve (AUROC) statistic; a value of 0.5 represents chance, and 1 represents perfect discrimination.
This measure is quantified by calculating the area under the receiver operating characteristic curve statistic; a value of 0.5 represents chance and 1 represents perfect discrimination.
Similar(54)
The performance of the similarity measures is quantified using a Monte Carlo experiment.
The overlap between clusters from five different similarity measures is quantified with the average (O i,j)) values, where i and j are indices for rows and columns, respectively (see text for the definition).
Behavioral measures were quantified and compared between groups using factorial analyses of variance.
The researcher is fully blinded, because all outcome measures are quantified by the patients and physical therapists.
These measures were quantified using the corresponding sensitivity indexes: d'-CPT_IP, d'-S2B, d'-V2B and antisaccade error rate, respectively.
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