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Monte Carlo cross-validation for a study with binary outcome and limited sample size
Cross-validation (CV) is a resampling approach to evaluate machine learning models when sample size is limited. The number of all possible combinations of folds for the training data, known as CV rounds, are often very small in leave-one-out CV. Alternatively, Monte Carlo cross-validation (MCCV) can...
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2022
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9578204/ https://www.ncbi.nlm.nih.gov/pubmed/36253749 http://dx.doi.org/10.1186/s12911-022-02016-z |