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Precisão×F1-Score×
ÁreaAvaliação de modelosAvaliação de modelos
FamíliaMCDMMCDM
Ano de origem20th century1979
Autor originalHistorical statistical foundationsC. J. van Rijsbergen
TipoEvaluation metricEvaluation metric
Fonte seminalFawcett, T. (2006). An introduction to ROC analysis. Pattern Recognition Letters, 27(8), 861-874. DOI ↗van Rijsbergen, C. J. (1979). Information Retrieval (2nd ed.). Butterworth-Heinemann. link ↗
Outros nomesPositive Predictive Value, PPVF-measure, Harmonic Mean
Relacionados55
ResumoPrecision measures the proportion of positive predictions that were actually correct. It answers the question: 'Of all the cases we predicted as positive, how many were truly positive?' Precision is critical in scenarios where false positives are costly.The 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.
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ScholarGateComparar métodos: Precision · F1-Score. Recuperado em 2026-06-17 de https://scholargate.app/pt/compare