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امتیاز F1×دقت×بازیابی (حساسیت)×
حوزهارزیابی مدلارزیابی مدلارزیابی مدل
خانوادهMCDMMCDMMCDM
سال پیدایش197920th century20th century
پدیدآورC. J. van RijsbergenHistorical statistical foundationsHistorical statistical foundations
نوعEvaluation metricEvaluation metricEvaluation metric
منبع بنیادینvan 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 ↗Fawcett, T. (2006). An introduction to ROC analysis. Pattern Recognition Letters, 27(8), 861-874. DOI ↗
نام‌های دیگرF-measure, Harmonic MeanPositive Predictive Value, PPVSensitivity, True Positive Rate, TPR
مرتبط555
خلاصهThe 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.Recall measures the proportion of actual positive cases that were correctly identified by the classifier. It answers the question: 'Of all the cases that were truly positive, how many did we find?' Recall is critical in scenarios where missing positive cases is costly.
ScholarGateمجموعه‌داده
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ScholarGateمقایسهٔ روش‌ها: F1-Score · Precision · Recall (Sensitivity). بازیابی‌شده در 2026-06-18 از https://scholargate.app/fa/compare