ROC Curve: Revision history

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    4 November 2024

    • curprev 12:1312:13, 4 November 2024‎ 핵톤 talk contribs‎ 2,501 bytes +2,501‎ Created page with "The '''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 (sensitivity) against the false positive rate (1 - specificity) at various threshold settings, providing insight into the trade-offs between sensitivity and specificity. ==Definition== The ROC Curve is created by plotting: *'''True Positive Rate (TPR)''' or Sensitivity: TPR = True Positive..." Tag: Visual edit
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