AUC

{
  "id": "MLC-T-CYB-000301",
  "term": "AUC",
  "field": "Cybersecurity",
  "definition": "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.",
  "expansions": [
    "Authentication Center",
    "area under the curve"
  ],
  "references": [
    "NIST AI 100-2e2025",
    "NIST CSRC Glossary"
  ],
  "url": "https://mlchart.com/terminology/cybersecurity/auc/"
}