השוואת שיטות

	דיוק	דיוק מאוזן
תחום	הערכת מודלים	הערכת מודלים
משפחה	MCDM	MCDM
שנת המקור	20th century	2010
הוגה השיטה	Historical statistical foundations	Brodersen, Ong, Stephan, and Buhmann
סוג	Evaluation metric	Evaluation metric
מקור מכונן	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.
כינויים	Overall Accuracy, Correct Classification Rate	Average Recall, Equal-weight Average Sensitivity
קשורות	5	5
תקציר	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.