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دقت×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 دیگرPositive Predictive Value, PPVTrue Negative Rate, TNR
مرتبط55
خلاصهPrecision 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.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: Precision · Specificity. بازیابی‌شده در 2026-06-15 از https://scholargate.app/fa/compare