MCDMClassification Metric

Balanced Accuracy

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.

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Sources

  1. 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: 10.1109/ICPR.2010.764
  2. Powers, D. M. (2011). Evaluation: From Precision, Recall and F-Measure to ROC, Informedness, Markedness and Correlation. Journal of Machine Learning Technologies, 2(1), 37-63. DOI: 10.9735/2229-3981

Related methods

Referenced by

ScholarGateBalanced Accuracy (Balanced Classification Accuracy). Retrieved 2026-06-04 from https://scholargate.app/tr/model-evaluation/balanced-accuracy