ROC Curve: 편집 역사

2024년 11월 4일 (월)

• 최신이전 12:132024년 11월 4일 (월) 12:13‎ 핵톤 토론 기여‎ 2,501 바이트 +2,501‎ Created page with "The '''ROC (Receiver Operating Characteristic) Curve''' is a graphical representation used to evaluate the performance of a binary classification model. It plots the true positive rate (sensitivity) against the false positive rate (1 - specificity) at various threshold settings, providing insight into the trade-offs between sensitivity and specificity. ==Definition== The ROC Curve is created by plotting: *'''True Positive Rate (TPR)''' or Sensitivity: TPR = True Positive..." 태그: 시각 편집