# Red Analyze Tool – Statistics – Area Under the Curve (AUC)

This topic provides information about how to perform statistical interpretation of the Area Under the Curve (AUC). The AUC determines how well a result is being obtained.

Generally, with the AUC, a 1 being a perfect result; anything above .8 being a good result (generally speaking); and .5 being completely random.

The AUC is independent from any threshold, and provides a statistical test based on the ranking of scores only, with no assumptions on the score distribution.

The AUC is a robust measure of the classifier's separation power.

The AUC is:

- 0.5 for a random classifier
- 1 for perfectly discriminating classifier
- not a percentage
- independent of any threshold