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Improved small-sample estimation of nonlinear cross-validated prediction metrics
When predicting an outcome is the scientific goal, one must decide on a metric by which to evaluate the quality of predictions. We consider the problem of measuring the performance of a prediction algorithm with the same data that were used to train the algorithm. Typical approaches involve bootstra...
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| Veröffentlicht in: | J Am Stat Assoc |
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| Hauptverfasser: | , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
2019
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7954141/ https://ncbi.nlm.nih.gov/pubmed/33716360 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1080/01621459.2019.1668794 |
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