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Specifically, we used a simple penalty metric (where 1 is for agreement to the natural template and 0 otherwise), a penalty metric using a linear curve, and a penalty metric using a power curve.

Model evaluation was performed using the AUC metric using a cross-validation procedure (80%% of the data used for calibration/20 % for evaluation), with 30 repetitions.

In response to this, in this paper, firstly, a metric using a fuzzy logic system based on the Sugeno fuzzy inference model for evaluating the quality of the realism of existing intrusion detection system datasets is proposed.

In this work, we present the STRIKE score, a new metric using a single structure to estimate the structural correctness of MSAs.

In Barcelona we developed a refined spatial air pollution exposure metric using a land use regression model (Beelen et al. 2013; Eeftens et al. 2012a).

VAAST also incorporates scores for non-coding variants based on a conservation metric using a general framework, which could, in principle, incorporate scores from new tools such as CADD and GWAVA.

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NAF volume was measured using a metric ruler.

Body sizes were measured using a metric scale set beside the insect specimen during photographing.

This metric uses an exponential decay function to reduce the influence of lower ranked compounds on the final score.

We derive this new metric using linear regression on a number of OSS java projects.

When we apply the dispersion metric using geotags, we obtain a distribution over groups that is shown in Figure 5.

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