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Специфичность×F1-мера×
ОбластьОценка моделейОценка моделей
СемействоMCDMMCDM
Год появления20th century1979
Автор методаHistorical statistical foundationsC. J. van Rijsbergen
ТипEvaluation metricEvaluation metric
Основополагающий источникFawcett, T. (2006). An introduction to ROC analysis. Pattern Recognition Letters, 27(8), 861-874. DOI ↗van Rijsbergen, C. J. (1979). Information Retrieval (2nd ed.). Butterworth-Heinemann. link ↗
Другие названияTrue Negative Rate, TNRF-measure, Harmonic Mean
Связанные55
СводкаSpecificity measures the proportion of actual negative cases that were correctly identified as negative by the classifier. It answers the question: 'Of all the cases that were truly negative, how many did we correctly reject?' Specificity is complementary to recall and is essential when false positives are costly.The F1-score is the harmonic mean of precision and recall, providing a single metric that balances both concerns. It was introduced by van Rijsbergen in information retrieval and has become a standard metric for evaluating classification models where both precision and recall are important.
ScholarGateНабор данных
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  2. 2 Источники
  3. PUBLISHED
  1. v1
  2. 2 Источники
  3. PUBLISHED

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ScholarGateСравнение методов: Specificity · F1-Score. Получено 2026-06-17 из https://scholargate.app/ru/compare