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Linganisha mbinu

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F1-Score×Umahiri (Specificity)×
NyanjaTathmini ya ModeliTathmini ya Modeli
FamiliaMCDMMCDM
Mwaka wa asili197920th century
MwanzilishiC. J. van RijsbergenHistorical statistical foundations
AinaEvaluation metricEvaluation metric
Chanzo asiliavan Rijsbergen, C. J. (1979). Information Retrieval (2nd ed.). Butterworth-Heinemann. link ↗Fawcett, T. (2006). An introduction to ROC analysis. Pattern Recognition Letters, 27(8), 861-874. DOI ↗
Majina mbadalaF-measure, Harmonic MeanTrue Negative Rate, TNR
Zinazohusiana55
MuhtasariThe 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.Specificity measures the proportion of actual negative cases that were correctly identified as negative by the classifier. It answers the question: 'Of all the cases that were truly negative, how many did we correctly reject?' Specificity is complementary to recall and is essential when false positives are costly.
ScholarGateSeti ya data
  1. v1
  2. 2 Vyanzo
  3. PUBLISHED
  1. v1
  2. 2 Vyanzo
  3. PUBLISHED

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ScholarGateLinganisha mbinu: F1-Score · Specificity. Imepatikana 2026-06-19 kutoka https://scholargate.app/sw/compare