Sentence examples for metrics we test from inspiring English sources

Using two different performance metrics, we test the three different ensembles on real-world software engineering datasets.

In addition to these performance metrics, we test the results for statistical significance at the (alpha = 5% ) level using a one-factor analysis of variance (ANOVA) [49].

For each of the four centrality metrics we test the null hypothesis that coauthorship centrality distributions of papers in P ↑ ( t ) and P ↓ ( t ) are the same against the alternative hypothesis that the centrality distribution of papers in P ↑ ( t ) is stochastically larger than that of papers in P ↓ ( t ).

To address relation between the total rCBF in non-cerebellar regions of the brain and whole-brain graph theoretical metrics, we tested for such correlations in each group.

To illustrate the utility of the different test-retest metrics, we reevaluated data from five published brain PET test-retest studies in humans.

To test our metrics we use a dataset from Flickr.

In order to better understand the underlying orthogonal dimensions captured by the suite of unit test case metrics, we performed in a first stage a Principal Component Analysis (PCA).

Here we test whether metrics generated by a virtual reality surgical simulation can differentiate between three levels of experience, namely novices, otolaryngology residents, and experienced qualified surgeons.

We identify seven metrics related to seven of the main features of the selected virtual machines as shown in Fig. 2. To evaluate these features, we test seven metrics: CPU performance, Memory performance, Disk I/O performance, Mean Response time (MRT), Provisioning time, Availability, and Variability.

We test two important metrics: the delay and the max-min difference (2MDkT) of POIs Coverage schemes.

Here we test which graph metrics best predict the presence of traumatic axonal injury, as well as which are most highly associated with cognitive impairment.