השוואת שיטות

	דיוק מאוזן	מטריצת בלבול
תחום	הערכת מודלים	הערכת מודלים
משפחה	MCDM	MCDM
שנת המקור	2010	20th century
הוגה השיטה	Brodersen, Ong, Stephan, and Buhmann	Statistical foundations
סוג	Evaluation metric	Evaluation visualization
מקור מכונן	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.	Everitt, B. S., & Hothorn, T. (2005). A Handbook of Statistical Analyses Using R. Chapman and Hall/CRC.
כינויים	Average Recall, Equal-weight Average Sensitivity	Error Matrix, Contingency Table
קשורות	5	5
תקציר	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.	The confusion matrix is a table that displays the counts of true positives, true negatives, false positives, and false negatives. It provides a complete picture of where a classifier makes correct and incorrect predictions, enabling calculation of all other classification metrics.