such as the scientific method, performs better than random choice. While some scholars argue that NFL conveys important insight, others argue that NFL is of little relevance to machine learning research. If Occam's razor is correct, for example if sequences of lower Kolmogorov complexity are more probable than sequences of higher complexity, then (as is observed in real life) some algorithms, such as cross-validation, perform better on average on practical problems (when compared with random choice or with anti-cross-validation). Notes External links No Free Lunch Theorems Graphics illustrating the theorem Scientific folklore Philosophy of mathematics Mathematical theorems