Leave-one-out cross-validation is often a useful model selection tool for small designed experiments, though ordinary k-fold cross-validation is uneven in performance.
(2022 a ), Design choice and machine learning model performances, Quality and Reliability Engineering International, 38, 3357--3378
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The use of cross validation in the analysis of designed experiments
Leave-one-out cross-validation is often a useful model selection tool for small designed experiments, though ordinary k-fold cross-validation is uneven in performance.