In Statistics, a receiver operating characteristic (ROC), or ROC curve, 수신자 조작 특성 is a graphical plot that illustrates the performance of a Binary classification system as its discrimination threshold is varied. (https://en.wikipedia.org/wiki/Receiver_operating_characteristic)

ROC curve를 그리면, 해당 면적이 정확도에 해당함. 이 면적을 AUC라고 함 (Area under curve)

관련정보

• ROC 커브와 AUC, 그리고 민감도와 특이도 2016-04-27
• How to plot a ROC Curve in Scikit learn? 2015-01-24
• Drawing ROC Curve

Incoming Links #

Related Articles (Article 0) #

• Classification
• Genetic risk index

Related Medical Scholarly Articles (MedicalScholarlyArticle 1) #

• Predicting cancer-specific vulnerability via data-driven detection of synthetic lethality

Related Codes (Code 2) #

• Octopus
• SurvivalROC

Related Medical Conditions (MedicalCondition 3) #

• Thyroid cancer

Suggested Pages #

• 0.748 Machine learning for Genomics
• 0.022 Nature
• 0.020 Central limit theorem
• 0.018 2017
• 0.015 November 4
• 0.013 Machine learning
• 0.012 November 28
• 0.012 ImageNet
• 0.012 Synthetic lethality
• 0.012 Decision tree
• More suggestions...