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confusion matrix

kun-FYOO-zhun MAY-triks

kənˈfjuːʒən ˈmeɪtrɪks

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confusionmatrix

Dictionary meaning

a table used to evaluate the performance of a classification model by comparing predicted class labels against true labels across all samples; the cells contain counts of true positives, true negatives, false positives, and false negatives; from these, metrics including accuracy, precision, recall, F1-score, and the Matthew's correlation coefficient can be computed; particularly important for imbalanced datasets where overall accuracy is a misleading indicator of model quality

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