Which theorem states that there is no single machine learning algorithm that performs better than all others across every possible problem?

No Free Lunch Theorem

Proposed by Wolpert and Macready, this theorem implies that if an algorithm performs well on one certain class of problems, it necessarily pays for that performance with degraded performance on the set of all remaining problems.