Krahasoni metodat

	Saktësi	Saktësi e Balancuar
Fusha	Vlerësimi i modeleve	Vlerësimi i modeleve
Familja	MCDM	MCDM
Viti i origjinës	20th century	2010
Krijuesi	Historical statistical foundations	Brodersen, Ong, Stephan, and Buhmann
Lloji	Evaluation metric	Evaluation metric
Burimi themelues	Fawcett, T. (2006). An introduction to ROC analysis. Pattern Recognition Letters, 27(8), 861-874.	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.
Emërtime të tjera	Overall Accuracy, Correct Classification Rate	Average Recall, Equal-weight Average Sensitivity
Të lidhura	5	5
Përmbledhja	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.	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.