AUC: Difference between revisions
Appearance
imported>Unknown user No edit summary |
imported>Unknown user No edit summary |
||
| (One intermediate revision by the same user not shown) | |||
(No difference)
| |||
Latest revision as of 00:24, 20 January 2026
AUC
A measure of the ability of a classifier to distinguish between classes in machine learning. A higher AUC means that a model performs better when distinguishing between the two classes. AUC measures the entire two-dimensional area under the receiver operating characteristic (ROC) curve.
Source: NIST AI 100-2e2025 | Category: