Area Under the Receiver Operating Characteristic (AUC-ROC) Curve

Area Under the Receiver Operating Characteristic (AUC-ROC) Curve is a measure used to evaluate the diagnostic performance of a machine learning model (Hanley & McNeil). The ROC plots the statistical relationship between sensitivity and specificity, with sensitivity on the y-axis and 1-specificity on the x-axis. A greater area under the curve indicates that a model is better at distinguishing between patients with a disease and patients without a disease.

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