Assessing model accuracy using random data split: a simulation study
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DOI: 10.1080/10543406.2022.2089158
Abstract: ABSTRACT Randomization is considered a safeguard against bias and a gold standard in clinical studies. To assess the generalizability of the accuracy of a model, a common approach is to randomly split a master data… read more here.
Keywords: split; accuracy; random split; training testing ... See more keywords