{"entity":{"id":"roc-auc","kind":"term","name":"ROC-AUC, PR-AUC and time-dependent AUC","aka":["ROC-AUC","AUROC","ROC curve","area under the ROC curve","PR-AUC","AUPRC","precision-recall curve","average precision","time-dependent AUC","AUC(t)"],"tldr":"ROC-AUC is the chance a classifier scores a random positive above a random negative; PR-AUC focuses on the positives and is the better summary when they are rare; time-dependent AUC applies the idea to survival at a chosen horizon.","summary":"A receiver operating characteristic curve plots a binary classifier's performance across thresholds and is standard in assessing diagnostic tests (Wikipedia); the area under it summarises ranking quality. Precision and recall measure the retrieved positives (Wikipedia), and the area under the precision-recall curve is sensitive to class imbalance where ROC-AUC is not, which matters when responders or rare subtypes are one in ten. Time-dependent AUC asks the same ranking question about who has had the event by a given time, complementing the C-index.","asOf":"2026-09-24","wikipedia":"https://en.wikipedia.org/wiki/Receiver_operating_characteristic","links":[{"label":"Wikipedia: precision and recall","url":"https://en.wikipedia.org/wiki/Precision_and_recall"},{"label":"Wikipedia","url":"https://en.wikipedia.org/wiki/Receiver_operating_characteristic"}],"tags":["cansim-terms"],"related":["cancer-ai-vocabulary"],"cancers":[],"sections":[],"technologies":[],"targets":[],"drugs":[],"companies":[],"institutions":[],"pathways":[],"terms":["concordance-index","calibration","accuracy-f1","biomarker"],"trials":[],"people":[],"bottlenecks":[],"keyPapers":[],"journals":[],"dependsOn":[],"notes":["Listed in the CanSim terms map 1.0.0 (docs/onco/terms.json, generated 2026-09-24), CC BY 4.0, attribution: CanSim project, an open, public-data-first cancer foundation-model programme; CanSim page path /terms/roc-auc-pr-auc."],"provenance":{"editedBy":"OnCo CanSim terms wave (Wikipedia summaries, standards and project pages, GDC and FDA pages, Europe PMC)","editedOn":"2026-09-24","note":"CanSim terms map 1.0.0 (docs/onco/terms.json, generated 2026-09-24), CC BY 4.0, attribution: CanSim project, an open, public-data-first cancer foundation-model programme"},"category":"Methods and models"},"route":"/terms/roc-auc/","neighbours":{"term":[{"id":"accuracy-f1","kind":"term","name":"Accuracy, macro-F1 and confusion matrices","route":"/terms/accuracy-f1/"},{"id":"biomarker","kind":"term","name":"Biomarker","route":"/terms/biomarker/"},{"id":"concordance-index","kind":"term","name":"C-index (concordance index), Harrell's and Uno's","route":"/terms/concordance-index/"},{"id":"calibration","kind":"term","name":"Calibration: reliability diagrams and the Brier score","route":"/terms/calibration/"},{"id":"cancer-ai-vocabulary","kind":"term","name":"Cancer AI vocabulary (CanSim terms map)","route":"/terms/cancer-ai-vocabulary/"}]}}