Precision-Recall Curve: Revision history

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    4 November 2024

    • curprev 14:2614:26, 4 November 2024‎ 핵톤 talk contribs‎ 3,840 bytes +3,840‎ Created page with "The Precision-Recall Curve is a graphical representation used in binary classification to evaluate a model's performance, especially in imbalanced datasets. It plots precision (y-axis) against recall (x-axis) at various threshold settings, showing the trade-off between the two metrics as the decision threshold changes. ==What is a Precision-Recall Curve?== A Precision-Recall Curve shows how well a model balances precision (the accuracy of positive predictions) and recall..." Tag: Visual edit
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