ROC Curve

Intermediate

Plots true positive rate vs false positive rate across thresholds; summarizes separability.

Full Definition

Plots true positive rate vs false positive rate across thresholds; summarizes separability.

Keywords

TPR vs FPR

Domains

Foundations & Theory

Related Terms

AUC related to

Scalar summary of ROC; measures ranking ability, not calibration.

 Calibration related to

The degree to which predicted probabilities match true frequencies (e.g., 0.8 means ~80% correct).

 Stochastic Gradient Descent related to

A gradient method using random minibatches for efficient training on large datasets.

 Learning Rate related to

Controls the size of parameter updates; too high diverges, too low trains slowly or gets stuck.

 Precision related to

Of predicted positives, the fraction that are truly positive; sensitive to false positives.

 Recall related to

Of true positives, the fraction correctly identified; sensitive to false negatives.

 Specificity related to

Of true negatives, the fraction correctly identified.

 F1 Score related to

Harmonic mean of precision and recall; useful when balancing false positives/negatives matters.

Concept Map

See how ROC Curve connects to other concepts.

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