Area under the curve (AUC)
The area under the [[ROC|ROC curve]] (AUC) represents the probability that the model, if given a randomly chosen positive and negative example, will rank the positive higher than the negative.
- AUC is a useful measure for comparing the performance of two different models, as long as the dataset is roughly balanced.
- The model with greater area under the curve is generally the better one.