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Специфичност×F1-резултат×
ОбластОценка на моделиОценка на модели
СемействоMCDMMCDM
Година на възникване20th century1979
СъздателHistorical statistical foundationsC. J. van Rijsbergen
ТипEvaluation metricEvaluation metric
Основополагащ източникFawcett, 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 ↗
Други названияTrue Negative Rate, TNRF-measure, Harmonic Mean
Свързани55
РезюмеSpecificity 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 от данни
  1. v1
  2. 2 Източници
  3. PUBLISHED
  1. v1
  2. 2 Източници
  3. PUBLISHED

Към търсенето Изтегляне на слайдове

ScholarGateСравнение на методи: Specificity · F1-Score. Извлечено на 2026-06-17 от https://scholargate.app/bg/compare