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Predictive performance of machine and statistical learning methods: Impact of data-generating processes on external validity in the “large N, small p” setting
Machine learning approaches are increasingly suggested as tools to improve prediction of clinical outcomes. We aimed to identify when machine learning methods perform better than a classical learning method. We hereto examined the impact of the data-generating process on the relative predictive accu...
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| Vydáno v: | Stat Methods Med Res |
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| Hlavní autoři: | , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
SAGE Publications
2021
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8188999/ https://ncbi.nlm.nih.gov/pubmed/33848231 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1177/09622802211002867 |
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