Regularization and generalization · MLD-0621
Label shift
A change in class prevalence while class-conditional input distributions are assumed unchanged.
Original reference page · detailed expansion pending. Original definitions, examples, notes and citations are preserved below. New examples are illustrative, not benchmark results.
Original example
A positive class becomes more common in deployment.
Original caveat
Label shift is not simply any change involving labels.
Context and aliases
Level: Intermediate. Stages: Theory · Training · Evaluation.
Tags: ML · DL · SLM · LLM.
Aliases: Prior probability shift.
Related concepts
Original references
- Deep Learning: online textbook ↗ · Consulted
- Google Machine Learning Glossary ↗ · Consulted
- PyTorch neural-network layers ↗ · Reference link
- Original reference URL ↗