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Linganisha mbinu

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Kiwango cha Uwiano cha Matthews×Usawa wa Usahihi (Balanced Accuracy)×
NyanjaTathmini ya ModeliTathmini ya Modeli
FamiliaMCDMMCDM
Mwaka wa asili19752010
MwanzilishiBrian W. MatthewsBrodersen, Ong, Stephan, and Buhmann
AinaEvaluation metricEvaluation metric
Chanzo asiliaMatthews, 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 ↗Brodersen, 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 ↗
Majina mbadalaPhi Coefficient, Binary Classification CorrelationAverage Recall, Equal-weight Average Sensitivity
Zinazohusiana55
MuhtasariThe 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.Balanced 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.
ScholarGateSeti ya data
  1. v1
  2. 2 Vyanzo
  3. PUBLISHED
  1. v1
  2. 2 Vyanzo
  3. PUBLISHED

Nenda kwenye utafutaji Pakua slaidi

ScholarGateLinganisha mbinu: Matthews Correlation Coefficient · Balanced Accuracy. Imepatikana 2026-06-17 kutoka https://scholargate.app/sw/compare