AI Glossary · Data & Platform
AUC (Area Under Curve)
A single-number summary of a classifier's ability to separate classes across all thresholds; useful for imbalanced problems like fraud or churn.
Definition
What is AUC (Area Under Curve)?
AUC (Area Under Curve) is a single-number summary of a classifier's ability to separate classes across all thresholds; useful for imbalanced problems like fraud or churn.
- Category
- Data & Platform
- Glossary set
- 14 related terms
- Audience
- Enterprise AI leaders
Why does AUC (Area Under Curve) matter in enterprise AI?
AUC (Area Under Curve) matters in enterprise AI platforms because it affects data readiness, governance, scalability, and the operating foundation for AI use cases.
Related terms in Data & Platform
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- Data Fabric
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- Data Lakehouse
- A unified store combining lake economics with warehouse governance (Databricks, Snowflake, Iceberg). The default AI training and analytics substrate.
- Embedding
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- Feature Store
- A managed catalog of reusable ML features with online and offline serving — key to consistent training and inference.
- Fine-tuning
- Continuing to train a pre-trained model on domain- or task-specific data to specialize its behavior, tone or knowledge.