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دقت×بازیابی (حساسیت)×
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, PPVSensitivity, True Positive Rate, TPR
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.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
  1. v1
  2. 2 منابع
  3. PUBLISHED
  1. v1
  2. 2 منابع
  3. PUBLISHED

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