MCDMClassification Metric
Usawa wa Usahihi (Balanced Accuracy)
Usawa wa usahihi ni wastani wa thamani za kukumbuka (recall) zilizokokotwa kwa kila darasa kivyake. Unarekebisha usawa wa darasa kwa kutoa uzito sawa kwa utendaji kazi kwenye kila darasa, bila kujali mzunguko wa darasa kwenye seti ya data.
Soma mbinu kamili
Kwa wanachama pekee
IngiaIngia kwa akaunti ya bure ili kusoma sehemu hii.
Method map
The neighbourhood of related methods — select a node to explore.
Vyanzo
- Brodersen, K. H., Ong, C. S., Stephan, K. E., & Buhmann, J. M. (2010). The balanced accuracy and its posterior distribution. 20th International Conference on Pattern Recognition (ICPR), 3121-3124. DOI: 10.1109/ICPR.2010.764 ↗
- 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 ↗
Jinsi ya kunukuu ukurasa huu
ScholarGate. (2026, June 3). Balanced Classification Accuracy. ScholarGate. https://scholargate.app/sw/model-evaluation/balanced-accuracy
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.
- UsahihiTathmini ya Modeli↔ compare
- F1-ScoreTathmini ya Modeli↔ compare
- Kiwango cha Uwiano cha MatthewsTathmini ya Modeli↔ compare
- Kumbukumbu (Usikivu)Tathmini ya Modeli↔ compare
- Umahiri (Specificity)Tathmini ya Modeli↔ compare
Imerejelewa na
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