Specificity (Data Science): 편집 역사

2024년 11월 4일 (월)

• 최신이전 14:112024년 11월 4일 (월) 14:11‎ 핵톤 토론 기여‎ 2,246 바이트 +2,246‎ Created page with "'''Specificity''', also known as the '''True Negative Rate (TNR)''', is a metric used in binary classification to measure the proportion of actual negative cases that are correctly identified by the model. It reflects the model’s ability to avoid false positives and accurately classify negative instances. ==Definition== Specificity is calculated as: :'''<big>Specificity = True Negatives / (True Negatives + False Positives)</big>''' A higher specificity value indicates..." 태그: 시각 편집