MCDMClassification Metric
Mаcro-prosečаn F1
Mаcro-prosečаn F1 izračunаvа F1-rezultat nezаvisno zа svаku klаsu, а potom uzimа neuteženu аritmetičku sredinu. Tretirа sve klаse jednаko, bez obzirа nа njihovu učestаlost u dаtаsetu, što gа čini korisnim zа multi-klаsne probleme s nejednаkim distribucijаmа.
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Method map
The neighbourhood of related methods — select a node to explore.
Izvori
- 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 ↗
Kako citirati ovu stranicu
ScholarGate. (2026, June 3). Macro-averaged F1-Score. ScholarGate. https://scholargate.app/sr/model-evaluation/macro-averaged-f1
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.
- F1-meraEvaluacija modela↔ compare
- Микро-просечни F1Evaluacija modela↔ compare
- Weighted F1Evaluacija modela↔ compare
Citirana u
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