Is K-fold cross validation the best model selection method for Machine Learning?

no code implementations • 29 Jan 2024 • Juan M Gorriz, F Segovia, J Ramirez, A Ortiz, J. Suckling

A novel statistical test based on K-fold CV and the Upper Bound of the actual error (K-fold CUBV) is composed, where uncertain predictions of machine learning with CV are bounded by the \emph{worst case} through the evaluation of concentration inequalities.

Model Selection