Composite metric
A composite metric is a single score or indicator formed by combining multiple measurements, component scores, or signals.
Effective Data Analysis
A composite measure or metric is a single score or indicator formed by combining multiple measurements or metrics.
- How it is used
- Combines multiple metrics into one score for reporting complex processes to stakeholders.
- How deep it goes
- Defines the index and outlines reliability checks, but gives no construction formula or weighting procedure.
- Examples
- Uses GDP reporting and a depression questionnaire to illustrate combined measures.
- What you can do after
- Evaluate/understand whether a combined score is reliable and whether it hides component trends needed for action.
Read how Effective Data Analysis explains composite metric →
AI-Powered Search
A composite score is a calculated metric that combines multiple component scores or signals into one value.
- How it is used
- Ranks related query pairs by combining popularity and relatedness signals in query-log analysis.
- How deep it goes
- Calculates a composite score from ranked co-occurrence and PMI2 lists, then orders query-pair results.
- Examples
- Uses query pairs such as “green lantern” and “captain america” to illustrate ranked relatedness.
- What you can do after
- Apply a Spark SQL query to calculate and order composite query-pair scores.
Related concepts
- metrickind of · A metric is a quantitative measure used to characterize or assess a property, condition, behavior, performance, or outcome.
- pmi2uses · PMI2 is a k=2 variation of pointwise mutual information that normalizes association scores to reduce sensitivity to word-frequency differences.
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