The receiver operating characteristic (ROC) is a graphical representation that illustrates the diagnostic ability of a binary classifier system as its discrimination threshold is varied. The ROC curve plots the true positive rate against the false positive rate at various threshold settings, allowing for the assessment of model performance, particularly in cases of imbalanced classes or when distinguishing between multiple outcomes, such as in multinomial and ordinal logistic regression.
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