MCDMClassification Metric
AUC ya Precision-Recall
AUC ya Precision-Recall (PR AUC) ni eneo lililo chini ya mkunjo unaoundwa kwa kupanga upya (recall) kwenye mhimili wa x na usahihi (precision) kwenye mhimili wa y. Ni muhimu sana kwa kutathmini vighairi kwenye seti za data ambazo hazina usawa, ambapo mara nyingi huwa na taarifa zaidi kuliko ROC AUC.
Soma mbinu kamili
Kwa wanachama pekee
IngiaIngia kwa akaunti ya bure ili kusoma sehemu hii.
Ramani ya mbinu
Jirani ya mbinu zinazohusiana — chagua nodi ili kuchunguza.
Vyanzo
- 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 ↗
Jinsi ya kunukuu ukurasa huu
ScholarGate. (2026, June 3). Area Under the Precision-Recall Curve. ScholarGate. https://scholargate.app/sw/model-evaluation/precision-recall-auc
Mbinu ipi?
Weka mbinu hii kando ya jamaa zake wa karibu na uzisome bega kwa bega — maktaba huweka vitabu mezani; uamuzi ni wako.
- UsahihiTathmini ya Modeli↔ linganisha
- F1-ScoreTathmini ya Modeli↔ linganisha
- UsahihiTathmini ya Modeli↔ linganisha
- Kumbukumbu (Usikivu)Tathmini ya Modeli↔ linganisha
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