Receiver operating characteristic (ROC) curve

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Description

Receiver operating characteristic (ROC) curve



A receiver operating characteristic curve (ROC) curve displays how well a model can classify binary outcomes.



The animation starts with a model that cannot tell one outcome from the other, and the two distributions completely overlap (essentially a random classifier). As the two distributions separate, the ROC curve approaches the left-top corner, and the AUC value of the curve increases. When the model can perfectly separate the two outcomes, the ROC curve forms a right angle and the AUC becomes 1.



Dariya Sydykova @dariyasydykova https://twitter.com/dariyasydykova



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Contributed by

Dr. Gerald Diaz
@GeraldMD
Board Certified Internal Medicine Hospitalist, GrepMed Editor in Chief πŸ‡΅πŸ‡­ πŸ‡ΊπŸ‡Έ - Sign up for an account to like, bookmark and upload images to contribute to our community platform. Follow us on IG:  https://www.instagram.com/grepmed/ | Twitter: https://twitter.com/grepmeded/
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