Eugster, Manuel J.A.; Leisch, Friedrich; Strobl, Carolin - In: Computational Statistics & Data Analysis 71 (2014) C, pp. 986-1000
It is common knowledge that the performance of different learning algorithms depends on certain characteristics of the data—such as dimensionality, linear separability or sample size. However, formally investigating this relationship in an objective and reproducible way is not trivial. A new...