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The ROC (Receiver Operating Characteristic) curve is a graphical representation used to evaluate the performance of a binary classification model by plotting the true positive rate against the false positive rate at various threshold settings. This curve helps to visualize the trade-off between sensitivity and specificity, enabling better decision-making regarding model effectiveness across different classification thresholds.
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