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Balanserad träffsäkerhet×Matthews Korrelationskoefficient×
ÄmnesområdeModellutvärderingModellutvärdering
FamiljMCDMMCDM
Ursprungsår20101975
UpphovspersonBrodersen, Ong, Stephan, and BuhmannBrian W. Matthews
TypEvaluation metricEvaluation metric
UrsprungskällaBrodersen, K. H., Ong, C. S., Stephan, K. E., & Buhmann, J. M. (2010). The balanced accuracy and its posterior distribution. 20th International Conference on Pattern Recognition (ICPR), 3121-3124. DOI ↗Matthews, B. W. (1975). Comparison of predicted and observed secondary structure of T4 phage lysozyme. Biochimica et Biophysica Acta (BBA)-Protein Structure, 405(2), 442-451. DOI ↗
AliasAverage Recall, Equal-weight Average SensitivityPhi Coefficient, Binary Classification Correlation
Närliggande55
SammanfattningBalanced accuracy is the average of recall values computed for each class separately. It corrects for class imbalance by giving equal weight to the performance on each class, regardless of class frequency in the dataset.The Matthews Correlation Coefficient (MCC) is a correlation measure between predicted and actual binary classifications. It ranges from -1 to 1 and is considered one of the most reliable single-score metrics for evaluating binary classifiers, especially on imbalanced datasets.
ScholarGateDatamängd
  1. v1
  2. 2 Källor
  3. PUBLISHED
  1. v1
  2. 2 Källor
  3. PUBLISHED

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ScholarGateJämför metoder: Balanced Accuracy · Matthews Correlation Coefficient. Hämtad 2026-06-17 från https://scholargate.app/sv/compare