Leave-one-out cross-validation, penalization, and differential bias of some prediction model performance measures-a simulation study.
Angelika GeroldingerLara LusaMariana NoldGeorg HeinzePublished in: Diagnostic and prognostic research (2023)
We recommend to use leave-pair-out cross-validation, fivefold cross-validation with repetitions, the enhanced or the .632+ bootstrap to estimate c-statistics, and leave-pair-out or fivefold cross-validation to estimate discrimination slopes.
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