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AI & Machine Learning · Intermediate

ROC Curve

Receiver Operating Characteristic curve: a plot of true positive rate against false positive rate across thresholds.

Definition

The ROC curve shows how a classifier's tradeoff between catching positives and raising false alarms changes as the decision threshold varies. A curve hugging the top-left corner indicates strong performance; the diagonal represents random guessing.

Exam tip

ROC is threshold-independent; use it to compare models before choosing an operating threshold.

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