False Positive Rate: 편집 역사

2024년 11월 4일 (월)

• 최신이전 13:572024년 11월 4일 (월) 13:57‎ 핵톤 토론 기여‎ 2,077 바이트 +2,077‎ Created page with "The '''False Positive Rate (FPR)''' is a metric used in binary classification to measure the proportion of actual negatives that are incorrectly identified as positives by the model. It is an important metric for understanding the model's tendency to produce false alarms. ==Definition== The False Positive Rate is calculated as: :'''FPR = False Positives / (False Positives + True Negatives)''' This metric represents the likelihood of a negative instance being misclassifie..." 태그: 시각 편집