Sentence examples for metrics analyzed from inspiring English sources

Of the nine metrics analyzed, only the informativeness metric was successful in correctly estimating the number of clusters for all three simulated datasets (Table 1).

The Eigenvector centrality (EVC) metric exhibits relatively lower levels of correlation with BWC among all the centrality metrics analyzed and under all the three correlation measures.

Such a high level of correlation with BWC is not observed for the other three centrality metrics analyzed in this paper, as well as for any other network analysis metric in the literature.

The metrics analyzed were the packet loss rate and the end-to-end delay.

The performance metrics analyzed in this scenario include: average delay, average queue size and packet loss rate.

Among the other three centrality metrics analyzed (see Figs. 8, 9, 10 for a comparison), the degree centrality metric exhibits relatively higher levels of correlation with BWC.

Key elements to be assessed are: defining obstacles to sharing samples and data, choosing adequate identifier for bioresources, identifying and weighing parameters to be considered in the metrics, analyzing the role of journal guidelines and policies for resource citing and referencing, assessing policies for resource access and sharing and their influence on bioresource use.

Hence, we believe the most important metric evaluated in this experiment is the behavioral similarity since this metrics analyzes if the model behaves as expected through the percentage of the number of functionalities modeled as described in the requirements model in relation of the total number of functionalities.

Its error rate and various transmission secrecy metrics are analyzed.

Characteristics of the three metrics are analyzed for generalized systems.

The main performance metrics are analyzed and a comparison is carried out based on electrical simulations.