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6.5.16. Determining the number of components to use in the model with cross- validation — Process Improvement using Data
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machine learning - PCA within cross validation; however, only with a subset of variables - Stack Overflow
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Cross-validation in PCA models with the element-wise k-fold (ekf) algorithm: Practical aspects - ScienceDirect
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PDF) Cross-validation methods in principal component analysis: A comparison | Giancarlo Diana - Academia.edu
![Repeated double cross-validation applied to the PCA-LDA classification of SERS spectra: a case study with serum samples from hepatocellular carcinoma patients | Analytical and Bioanalytical Chemistry Repeated double cross-validation applied to the PCA-LDA classification of SERS spectra: a case study with serum samples from hepatocellular carcinoma patients | Analytical and Bioanalytical Chemistry](https://media.springernature.com/lw685/springer-static/image/art%3A10.1007%2Fs00216-020-03093-7/MediaObjects/216_2020_3093_Fig2_HTML.png)
Repeated double cross-validation applied to the PCA-LDA classification of SERS spectra: a case study with serum samples from hepatocellular carcinoma patients | Analytical and Bioanalytical Chemistry
![P] Serious differences between cross-validation accuracy and test accuracy. Imbalanced data (combination of over and undersampling) + PCA performed : r/MachineLearning P] Serious differences between cross-validation accuracy and test accuracy. Imbalanced data (combination of over and undersampling) + PCA performed : r/MachineLearning](https://preview.redd.it/p-serious-differences-between-cross-validation-accuracy-and-v0-r7mxa8byi6mc1.png?width=818&format=png&auto=webp&s=5354ab60191a516034de705121d22dadcb914e8e)
P] Serious differences between cross-validation accuracy and test accuracy. Imbalanced data (combination of over and undersampling) + PCA performed : r/MachineLearning
![Cross-validation approach to determine the optimal number of components... | Download Scientific Diagram Cross-validation approach to determine the optimal number of components... | Download Scientific Diagram](https://www.researchgate.net/publication/340795645/figure/fig2/AS:882635001847839@1587447991562/Cross-validation-approach-to-determine-the-optimal-number-of-components-for-PCA-The-graph.png)
Cross-validation approach to determine the optimal number of components... | Download Scientific Diagram
![How to perform cross-validation for PCA to determine the number of principal components? - Cross Validated How to perform cross-validation for PCA to determine the number of principal components? - Cross Validated](https://i.stack.imgur.com/E6PUx.png)
How to perform cross-validation for PCA to determine the number of principal components? - Cross Validated
![PCA-LDA cross-validation error rate for datasets 1 (a), 2 (b), 3 (c), 4... | Download Scientific Diagram PCA-LDA cross-validation error rate for datasets 1 (a), 2 (b), 3 (c), 4... | Download Scientific Diagram](https://www.researchgate.net/publication/333321256/figure/fig3/AS:770344981917702@1560675964701/PCA-LDA-cross-validation-error-rate-for-datasets-1-a-2-b-3-c-4-d-5-e-and-6.png)
PCA-LDA cross-validation error rate for datasets 1 (a), 2 (b), 3 (c), 4... | Download Scientific Diagram
![cross validation - Choosing number of PCA components when multiple samples for each data point are available - Cross Validated cross validation - Choosing number of PCA components when multiple samples for each data point are available - Cross Validated](https://i.stack.imgur.com/W7S3y.png)
cross validation - Choosing number of PCA components when multiple samples for each data point are available - Cross Validated
![Risk prediction models for dementia constructed by supervised principal component analysis using miRNA expression data | Communications Biology Risk prediction models for dementia constructed by supervised principal component analysis using miRNA expression data | Communications Biology](https://media.springernature.com/full/springer-static/image/art%3A10.1038%2Fs42003-019-0324-7/MediaObjects/42003_2019_324_Fig1_HTML.png)
Risk prediction models for dementia constructed by supervised principal component analysis using miRNA expression data | Communications Biology
![P] Serious differences between cross-validation accuracy and test accuracy. Imbalanced data (combination of over and undersampling) + PCA performed : r/MachineLearning P] Serious differences between cross-validation accuracy and test accuracy. Imbalanced data (combination of over and undersampling) + PCA performed : r/MachineLearning](https://preview.redd.it/p-serious-differences-between-cross-validation-accuracy-and-v0-0iqa0xy2j6mc1.png?width=1093&format=png&auto=webp&s=854094edc08db2363398d17189fedadfa15a104b)