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F1-резултат×Специфичност×
ОбластОценка на моделиОценка на модели
СемействоMCDMMCDM
Година на възникване197920th century
СъздателC. J. van RijsbergenHistorical statistical foundations
ТипEvaluation metricEvaluation metric
Основополагащ източникvan 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 ↗
Други названияF-measure, Harmonic MeanTrue Negative Rate, TNR
Свързани55
РезюмеThe 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.Specificity 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.
ScholarGateНабор от данни
  1. v1
  2. 2 Източници
  3. PUBLISHED
  1. v1
  2. 2 Източници
  3. PUBLISHED

Към търсенето Изтегляне на слайдове

ScholarGateСравнение на методи: F1-Score · Specificity. Извлечено на 2026-06-19 от https://scholargate.app/bg/compare