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Matriu de confusió×Puntuació F1×
CampAvaluació de modelsAvaluació de models
FamíliaMCDMMCDM
Any d'origen20th century1979
Autor originalStatistical foundationsC. J. van Rijsbergen
TipusEvaluation visualizationEvaluation metric
Font seminalEveritt, B. S., & Hothorn, T. (2005). A Handbook of Statistical Analyses Using R. Chapman and Hall/CRC. link ↗van Rijsbergen, C. J. (1979). Information Retrieval (2nd ed.). Butterworth-Heinemann. link ↗
ÀliesError Matrix, Contingency TableF-measure, Harmonic Mean
Relacionats55
ResumThe confusion matrix is a table that displays the counts of true positives, true negatives, false positives, and false negatives. It provides a complete picture of where a classifier makes correct and incorrect predictions, enabling calculation of all other classification metrics.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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ScholarGateCompara mètodes: Confusion Matrix · F1-Score. Recuperat el 2026-06-18 de https://scholargate.app/ca/compare