Evaluation metrics and uncertainty · MLD-0047
Aleatoric uncertainty
Uncertainty associated with irreducible variation or observation noise under a chosen model.
Original reference page · detailed expansion pending. Original definitions, examples, notes and citations are preserved below. New examples are illustrative, not benchmark results.
Original example
Represent noise in repeated measurements.
Original caveat
What is irreducible depends on available inputs and modeling assumptions.
Context and aliases
Level: Intermediate. Stages: Evaluation · Research.
Tags: ML · DL · SLM · LLM.
Aliases: None recorded.
Related concepts
Concepts linking here
Original references
- scikit-learn: cross-validation ↗ · Reference link
- Google Machine Learning Glossary ↗ · Consulted
- scikit-learn: evaluation metrics ↗ · Reference link
- Original reference URL ↗