Receiver operating characteristic - Wikip…
https://en.wikipedia.org/wiki/Receiver_operating_characteristic
The Receiver Operating Characteristic (ROC) curve is a graphical representation used to evaluate the performance of a binary classifier system as its discrimination threshold is varied. It plots the True Positive Rate (TPR), also known as sensitivity or recall, against the False Positive Rate (FPR), which is (1 - \text{specificity}). The ROC curve helps in determining how well a model can distinguish between two classes1. True Positive Rate (TPR): The proportion of actual positives correctly identified by the model. False Positive Rate (FPR): The proportion of actual negatives incorrectly identified as positives.
True Positive Rate (TPR): The proportion of actual positives correctly identified by the model.
False Positive Rate (FPR): The proportion of actual negatives incorrectly identified as positives.
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