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بازیابی (حساسیت)×تخصصیت×
حوزهارزیابی مدلارزیابی مدل
خانوادهMCDMMCDM
سال پیدایش20th century20th century
پدیدآورHistorical statistical foundationsHistorical statistical foundations
نوعEvaluation metricEvaluation metric
منبع بنیادینFawcett, 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 دیگرSensitivity, True Positive Rate, TPRTrue Negative Rate, TNR
مرتبط55
خلاصهRecall 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.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.
ScholarGateمجموعه‌داده
  1. v1
  2. 2 منابع
  3. PUBLISHED
  1. v1
  2. 2 منابع
  3. PUBLISHED

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ScholarGateمقایسهٔ روش‌ها: Recall (Sensitivity) · Specificity. بازیابی‌شده در 2026-06-15 از https://scholargate.app/fa/compare