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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