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LogoutROC curves are graphs that depict how a classification model performs at different classification thresholds. The graph is plotted with the True Positive Rate (TPR) on the y axis and the False Positive Rate (FPR) on the x-axis.
The TPR is expressed as the ratio between the number of true positives and the sum of the number of true positives and false negatives. The FPR is the ratio between the number of false positives in a dataset and the sum of the number of false positives and true negatives.