Foundations · MLD-0809
No-free-lunch theorem
Under specified averaging assumptions, no learner outperforms all alternatives on every possible problem.
Original reference page · detailed expansion pending. Original definitions, examples, notes and citations are preserved below. New examples are illustrative, not benchmark results.
Original example
Choose algorithms based on task assumptions.
Original caveat
It does not say all methods perform equally on real data.
Context and aliases
Level: Foundational. Stages: Theory · Training · Inference.
Tags: ML · DL · SLM · LLM.
Aliases: NFL.
Related concepts
Original references
- Deep Learning: online textbook ↗ · Consulted
- Google Machine Learning Glossary ↗ · Consulted
- Original reference URL ↗