ANOVA bootstrapped principal components analysis for logistic regression
Principal components analysis (PCA) is often used as a dimensionality reduction technique. A small number of principal components is selected to be used in a classification or a regression model to boost accuracy. A central issue in the PCA is how to select the number of principal components. Existi...
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Croatian Statistical Association
2022-06-01
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| Schriftenreihe: | Croatian Review of Economic, Business and Social Statistics |
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| Online-Zugang: | https://doi.org/10.2478/crebss-2022-0002 |
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