Täpsus-tagasikutsumise AUC
Täpsus-tagasikutsumise kõvera alune pindala (PR AUC) on kõvera alune pindala, mis on moodustatud tagasikutsumise (recall) plotimisega x-teljele ja täpsuse (precision) plotimisega y-teljele. See on eriti kasulik klassifitseerijate hindamiseks tasakaalustamata andmestikes, kus see on sageli informatiivsem kui ROC AUC.
Loe meetodi täielikku kirjeldust
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Method map
The neighbourhood of related methods — select a node to explore.
Allikad
- Davis, J., & Goadrich, M. (2006). The relationship between precision-recall and ROC curves. Proceedings of the 23rd International Conference on Machine Learning, 233-240. DOI: 10.1145/1143844.1143874 ↗
- Saito, T., & Rehmsmeier, M. (2015). The precision-recall plot is more informative than the ROC plot when evaluating binary classifiers on imbalanced datasets. PLoS ONE, 10(3), e0118432. DOI: 10.1371/journal.pone.0118432 ↗
Kuidas sellele lehele viidata
ScholarGate. (2026, June 3). Area Under the Precision-Recall Curve. ScholarGate. https://scholargate.app/et/model-evaluation/precision-recall-auc
Which method?
Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.
- TäpsusMudelite hindamine↔ compare
- F1-hinneMudelite hindamine↔ compare
- TäpsusMudelite hindamine↔ compare
- Tundlikkus (Recall)Mudelite hindamine↔ compare
Sellele viitavad
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