ROC Curve

A ROC curve displays the two types of errors for all possible thresholds. To minimize both error types, select the threshold furthest to the upper left corner of the graph. Here's an example graph:

The overall performance of a classifier is given by the area under the ROC curve (AUC). An ideal ROC curve will hug the top left corner, so the larger the AUC the better the classifier.

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