Statistics and experimental design · MLD-0495
Group cross-validation
Cross-validation keeping groups disjoint between training and validation.
Original reference page · detailed expansion pending. Original definitions, examples, notes and citations are preserved below. New examples are illustrative, not benchmark results.
Original example
Evaluate generalization to unseen users.
Original caveat
Too few groups can make estimates unstable.
Context and aliases
Level: Intermediate. Stages: Theory · Evaluation · Research.
Tags: ML · DL · SLM · LLM.
Aliases: None recorded.
Related concepts
Concepts linking here
Original references
- scikit-learn: cross-validation ↗ · Reference link
- Mathematics for Machine Learning ↗ · Reference link
- scikit-learn: evaluation metrics ↗ · Reference link
- Original reference URL ↗