Сравнение на методи

	Балансирана точност	Точност
Област	Оценка на модели	Оценка на модели
Семейство	MCDM	MCDM
Година на възникване	2010	20th century
Създател	Brodersen, Ong, Stephan, and Buhmann	Historical statistical foundations
Тип	Evaluation metric	Evaluation metric
Основополагащ източник	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.	Fawcett, T. (2006). An introduction to ROC analysis. Pattern Recognition Letters, 27(8), 861-874.
Други названия	Average Recall, Equal-weight Average Sensitivity	Overall Accuracy, Correct Classification Rate
Свързани	5	5
Резюме	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.	Accuracy is the proportion of correct predictions among the total number of predictions made by a classification model. It is the most intuitive performance metric and measures how often the classifier makes correct predictions overall, regardless of class.