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F1-мера×Точность×
ОбластьОценка моделейОценка моделей
СемействоMCDMMCDM
Год появления197920th century
Автор методаC. J. van RijsbergenHistorical statistical foundations
ТипEvaluation metricEvaluation metric
Основополагающий источникvan Rijsbergen, C. J. (1979). Information Retrieval (2nd ed.). Butterworth-Heinemann. link ↗Fawcett, T. (2006). An introduction to ROC analysis. Pattern Recognition Letters, 27(8), 861-874. DOI ↗
Другие названияF-measure, Harmonic MeanPositive Predictive Value, PPV
Связанные55
СводкаThe 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.Precision 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.
ScholarGateНабор данных
  1. v1
  2. 2 Источники
  3. PUBLISHED
  1. v1
  2. 2 Источники
  3. PUBLISHED

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