Σύγκριση μεθόδων

	Σταθμισμένη Ακρίβεια	Πίνακας Σύγχυσης
Πεδίο	Αξιολόγηση Μοντέλων	Αξιολόγηση Μοντέλων
Οικογένεια	MCDM	MCDM
Έτος προέλευσης	2010	20th century
Δημιουργός	Brodersen, Ong, Stephan, and Buhmann	Statistical foundations
Τύπος	Evaluation metric	Evaluation visualization
Θεμελιώδης πηγή	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.
Εναλλακτικές ονομασίες	Average Recall, Equal-weight Average Sensitivity	Error Matrix, Contingency Table
Συναφείς	5	5
Σύνοψη	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.