quantifiedfor
Quantifiedfor is a term used in data science and analytics to describe a metric that expresses how well a given dataset, model, or decision process applies to or represents a specified category or condition. The term combines quantified measurement with the specification “for,” signaling that the metric is scoped to a defined target.
Origins of the term are informal; it emerged in online technical communities and documentation as a concise
Calculation and interpretation typically involve a ratio that measures coverage, eligibility, or relevance for a given
Applications include data governance and fairness auditing, where quantifiedfor helps report how well data or models
Limitations include its informal nature and potential for ambiguity. Clear specification of the “for” category, the