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Balanced Accuracy×Konfusionsmatrix×
FachgebietModellevaluationModellevaluation
FamilieMCDMMCDM
Entstehungsjahr201020th century
UrheberBrodersen, Ong, Stephan, and BuhmannStatistical foundations
TypEvaluation metricEvaluation visualization
Wegweisende QuelleBrodersen, 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 ↗Everitt, B. S., & Hothorn, T. (2005). A Handbook of Statistical Analyses Using R. Chapman and Hall/CRC. link ↗
AliasnamenAverage Recall, Equal-weight Average SensitivityError Matrix, Contingency Table
Verwandt55
ZusammenfassungBalanced 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 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.
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ScholarGateMethoden vergleichen: Balanced Accuracy · Confusion Matrix. Abgerufen am 2026-06-18 von https://scholargate.app/de/compare