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Feature Description
An ROC (Receiver Operating Characteristic) curve is a graphical representation used to evaluate the performance of a binary classification model. It plots the True Positive Rate (TPR) against the False Positive Rate (FPR) at various threshold settings. The ROC curve helps to visualize the trade-off between sensitivity (or recall) and specificity.
Use Case
Used to visualize the performance of a binary classifier.
Benefits
Used to visualize the performance of a binary classifier.
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Priority
High
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