MLchartDataset catalogue

area under the curve

Term · Cybersecurity · MLC-T-CYB-000213

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.

Table 1. Record
IdentifierMLC-T-CYB-000213
FieldCybersecurity
AbbreviationAUC
ReferencesNIST AI 100-2e2025; NIST CSRC Glossary
Record as JSON 
{
  "id": "MLC-T-CYB-000213",
  "term": "area under the curve",
  "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.",
  "abbreviation": "AUC",
  "references": [
    "NIST AI 100-2e2025",
    "NIST CSRC Glossary"
  ],
  "url": "https://mlchart.com/terminology/cybersecurity/area-under-the-curve/"
}

Record 213 of 4,693 in Cybersecurity terminology (MLC-0102). Request the full dataset.