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Точность×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 названияPositive Predictive Value, PPVF-measure, Harmonic Mean
Связанные55
СводкаPrecision measures the proportion of positive predictions that were actually correct. It answers the question: 'Of all the cases we predicted as positive, how many were truly positive?' Precision is critical in scenarios where 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
  1. v1
  2. 2 Источники
  3. PUBLISHED
  1. v1
  2. 2 Источники
  3. PUBLISHED

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