How do you interpret area under a curve?
AREA UNDER THE ROC CURVE
In general, an AUC of 0.5 suggests no discrimination (i.e., ability to diagnose patients with and without the disease or condition based on the test), 0.7 to 0.8 is considered acceptable, 0.8 to 0.9 is considered excellent, and more than 0.9 is considered outstanding.
What is a good AUC score?
The area under the ROC curve (AUC) results were considered excellent for AUC values between 0.9-1, good for AUC values between 0.8-0.9, fair for AUC values between 0.7-0.8, poor for AUC values between 0.6-0.7 and failed for AUC values between 0.5-0.6.
Why is AUC a good measure?
The AUC is an estimate of the probability that a classifier will rank a randomly chosen positive instance higher than a randomly chosen negative instance. For this reason, the AUC is widely thought to be a better measure than a classification error rate based upon a single prior probability or KS statistic threshold.
What does AUC of 0.7 mean?
When AUC is 0.7, it means there is a 70% chance that the model will be able to distinguish between positive class and negative class. … When AUC is approximately 0, the model is actually reciprocating the classes.
Can AUC be higher than accuracy?
As we establish that AUC is a better measure than accuracy, we can choose classifiers with better AUC, thus producing better ranking. … First, LEARNING 519 Page 2 we establish rigourously, for the first time, that even given only labelled examples, AUC is a better measure (defined in Section 2.2) than accuracy.
What does AUC stand for?
AUC
| Acronym | Definition |
|---|---|
| AUC | American University in Cairo |
| AUC | Autodefensas Unidas de Colombia (United Self-Defense Forces of Colombia) |
| AUC | Analytical Ultracentrifugation |
| AUC | African Union Commission |
Is AUC a good performance measure?
AUC is better measure of classifier performance than accuracy because it does not bias on size of test or evaluation data. Accuracy is always biased on size of test data. In most of the cases, we use 20% data as evaluation or test data for our algorithm of total training data.
What does AUC of 0.80 mean?
An AUROC of 0.8 means that the model has good discriminatory ability: 80% of the time, the model will correctly assign a higher absolute risk to a randomly selected patient with an event than to a randomly selected patient without an event. … The AUROC for a given curve is simply the area beneath it.
What does AUC mean in pharmacology?
area under the curve
In pharmacology, the area under the plot of plasma concentration of a medicine versus time after dosage (called “area under the curve” or AUC) gives insight into the extent of exposure to a medicine and its clearance rate from the body.