In this context, evaluation metrics refers to metrics that use quantitative data obtained from a system execution to attribute it a performance index.
In an energy systems context, three metrics have emerged to evaluate the feasibility of proposed policies or actions: technical potential, economic potential, and social potential.
In this context, performance metrics in the form of peak aqueous-phase contaminant concentrations and mass fluxes arriving at a down-gradient compliance boundary are compared to each other.
Although, ROSE targets a different context, their metrics are appropriate to evaluate any kind of recommendation system.
In this context, robust metrics are important to allow fluctuations in the volume intensity.
Data can also be used within a more familiar context: social media metrics.
It proposes a methodology for semi-automatic building of maintainable taxonomies and outlines key features of the knowledge engineering context where the metrics and methodology are most suitable.
This is particularly true in a business context where quantifiable metrics rule and decision-makers who don't understand customers' subconscious psychological motives demand hard-and-fast evidence.
In differential processing techniques such as context switching, quality metrics can be important cues for selection of recognition modules.
