Evaluation Metric Framework
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A Evaluation Metric Framework is a measurement framework that supports evaluation metric design tasks.
- AKA: Performance Evaluation Framework, Assessment Metric System, Evaluation Measurement Framework.
- Context:
- It can typically define Evaluation Metric Sets for evaluation completeness.
- It can typically specify Metric Calculation Methods with evaluation formulas.
- It can often establish Evaluation Baselines through evaluation benchmarks.
- It can often support Metric Aggregation via evaluation combination rules.
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- It can range from being a Single-Metric Evaluation Framework to being a Multi-Metric Evaluation Framework, depending on its evaluation metric count.
- It can range from being a Task-Agnostic Evaluation Framework to being a Task-Specific Evaluation Framework, depending on its evaluation specialization.
- It can range from being a Static Evaluation Metric Framework to being a Dynamic Evaluation Metric Framework, depending on its evaluation adaptability.
- It can range from being a Automated Evaluation Framework to being a Human-in-the-Loop Evaluation Framework, depending on its evaluation human involvement.
- It can range from being a Offline Evaluation Framework to being a Online Evaluation Framework, depending on its evaluation timing.
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- It can enable Performance Comparisons across evaluation dimensions.
- It can guide Model Selection through evaluation criteria.
- It can integrate with ML Platforms for evaluation automation.
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- Example(s):
- Information Extraction Frameworks, such as:
- Classification Frameworks, such as:
- Generation Frameworks, such as:
- ...
- Counter-Example(s):
- Single Metric Calculation, which lacks framework structure.
- Informal Assessment, without systematic metrics.
- Subjective Evaluation, lacking quantitative measures.
- See: Performance Metric, Evaluation Methodology, Benchmark Suite, ML Evaluation, Metric Design Pattern, Assessment Protocol.