MCDMClassification Metric
Micro-averaged F1
Micro-averaged F1 huhesabu F1-score kwa kuunganisha matukio halisi chanya, matukio bandia chanya, na matukio bandia hasi katika madarasa yote, kisha kuhesabu kipimo kimoja. Inalingana na usahihi katika uainishaji wa madarasa mengi na ni muhimu wakati usambazaji wa darasa unaonyesha umuhimu wao wa asili.
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
- Powers, D. M. (2011). Evaluation: From Precision, Recall and F-Measure to ROC, Informedness, Markedness and Correlation. Journal of Machine Learning Technologies, 2(1), 37-63. link ↗
- Sokolova, M., Japkowicz, N., & Szpakowicz, S. (2006). Beyond Accuracy, F-Score and ROC: a Family of Discriminant Measures for Performance Evaluation. AI 2006, 4013, 1015-1021. DOI: 10.1007/11941439_114 ↗
Jinsi ya kunukuu ukurasa huu
ScholarGate. (2026, June 3). Micro-averaged F1-Score. ScholarGate. https://scholargate.app/sw/model-evaluation/micro-averaged-f1
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
- F1 ya wastani wa makroTathmini ya Modeli↔ linganisha
- F1-yenye-uzitoTathmini ya Modeli↔ linganisha
Imerejelewa na
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