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F1-Score×Gewichteter F1-Score×
FachgebietModellevaluationModellevaluation
FamilieMCDMMCDM
Entstehungsjahr19792000s
UrheberC. J. van RijsbergenMulti-class evaluation community
TypEvaluation metricEvaluation metric
Wegweisende Quellevan Rijsbergen, C. J. (1979). Information Retrieval (2nd ed.). Butterworth-Heinemann. link ↗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 ↗
AliasnamenF-measure, Harmonic MeanSupport-weighted F1
Verwandt53
ZusammenfassungThe F1-score is the harmonic mean of precision and recall, providing a single metric that balances both concerns. It was introduced by van Rijsbergen in information retrieval and has become a standard metric for evaluating classification models where both precision and recall are important.Weighted F1 computes the F1-score for each class and then takes a weighted average, where weights are proportional to the number of samples in each class (support). It provides a middle ground between macro and micro-averaging.
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ScholarGateMethoden vergleichen: F1-Score · Weighted F1. Abgerufen am 2026-06-18 von https://scholargate.app/de/compare