"behavioral metrics" is a correct and usable phrase in written English.
It refers to measurements or data related to a person's behavior, actions, or habits. Example: The team analyzed the behavioral metrics of the customers to better understand their needs and preferences.
We effectively transformed our raw behavioral metrics into a set of six principal components that defined the behavior of the strains in response to the thermal pulses.
A range of behavioral metrics are developed to measure run-time statistics about DEA's performance, with primary focus on the search quality, convergence properties and solution generation statistics.
In the future, the longer-term goal is to dig into more types of behavioral metrics, run different types of surveys, and simplify the overall analysis for the e-commerce companies.
Our study only partially supported hypothesis H1, evaluated by objective behavioral metrics of efficiency and effectiveness, but it completely supported H2, assessed by users' perception on the tasks performed during the study.
Importantly, mice treated with nab-paclitaxel developed changes in behavioral metrics with significantly higher toxicity scores indicative of peripheral neuropathy, while mice treated with NDPXL showed no significant changes in behavioral responses or toxicity score.
Behavioral metrics indicate that monkeys understood the reinforcement contingencies dictated by the cues.
Results for metabolic measures, including oxygen consumption and respiratory quotient, failed to support this hypothesis; similar negative results were obtained for three behavioral motion metrics.
The database consists of clinical, behavioral and neuroimaging metrics that were acquired at multiple research centers across the US from a large cohort of children and adolescents ages 4 to 18.
Although these subjects were not especially matched to those taking part in the scanning experiment in terms of age or sociological metrics, behavioral data (see below) collected from the scanning group nevertheless shows roughly equal proportions of 'desirable'indifferentent' and 'undesirable' responses when averaged across all subjects.
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.
Additional metrics include behavioral characteristics derived from the study of cognitive architecture eBICA.
