The F1-score is a performance metric for binary classification models. It is used to evaluate the quality of requirements.
Value Range:
The score is between 0 and 1.
Evaluation Scale:
Above 0.9 is considered excellent. 0.8 or higher is considered very good.
Language Dependency:
The same requirement can receive different F1-Scores in different languages.
Prioritization/Traffic Light System:
The score is translated into a traffic light system for prioritization:
Value Range | Color | Prioritization |
greater than 0.9 | green | high |
between 0.8 and 0.9 | orange | medium |
less than 0.8 | red | low |
Examples:
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