roc curve

How to Interpret a ROC Curve?


- Sensitivity: Also known as the true positive rate, it measures the proportion of actual positives correctly identified by the test.
- Specificity: Also known as the true negative rate, it measures the proportion of actual negatives correctly identified by the test.
- AUC (Area Under the Curve): The AUC value ranges from 0 to 1. An AUC of 1.0 indicates a perfect test, whereas an AUC of 0.5 suggests no discriminative power, equivalent to random guessing.

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