Comparison of methods for tuning machine learning model hyper-parameters: with application to predicting high-need high-cost health care users
Abstract Background Supervised machine learning is increasingly being used to estimate clinical predictive models. Several supervised machine learning models involve hyper-parameters, whose values must be judiciously specified to ensure adequate predictive performance. Objective To compare several (...
Sábháilte in:
| Príomhchruthaitheoirí: | , , , |
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| Formáid: | Artigo |
| Teanga: | Inglês |
| Foilsithe / Cruthaithe: |
BMC
2025-05-01
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| Sraith: | BMC Medical Research Methodology |
| Ábhair: | |
| Rochtain ar líne: | https://doi.org/10.1186/s12874-025-02561-x |
| Clibeanna: |
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