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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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Izvori

  1. 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
  2. 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

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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.

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Citirana u

ScholarGateMacro-averaged F1 (Macro-averaged F1-Score). Preuzeto 2026-06-15 sa https://scholargate.app/sr/model-evaluation/macro-averaged-f1 · Skup podataka: https://doi.org/10.5281/zenodo.20539026