方法证据记录
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.
源记录
引文逐字复制自方法源记录。这些引文不代表任何层级的验证。
Balanced Classification Accuracy
分类方法记录 · mcdm / model-evaluation
- 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
- 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. · URL
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