قارن الطرق

	الدقة المتوازنة	مصفوفة الارتباك
المجال	تقييم النماذج	تقييم النماذج
العائلة	MCDM	MCDM
سنة النشأة	2010	20th century
صاحب الطريقة	Brodersen, Ong, Stephan, and Buhmann	Statistical foundations
النوع	Evaluation metric	Evaluation visualization
المصدر التأسيسي	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.
الأسماء البديلة	Average Recall, Equal-weight Average Sensitivity	Error Matrix, Contingency Table
ذات صلة	5	5
الملخص	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.