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Related Questions
- Does the choice of k-value in k-fold cross-validation primarily affect the model's internal validation or external validation in complex models?
- Can the optimal choice of k-value vary based on the complexity of the model and the size of the dataset?
- How does the size of the dataset influence the choice of k-value to minimize overfitting in complex models?
- Can the choice of k-value impact the statistical significance of the results when using k-fold cross-validation in complex models?
- How does overfitting estimation differ across various k-values in different complex models?
- Can the k-fold cross-validation method itself impact the estimation of overfitting in complex models through the choice of k?
- Are there any established guidelines or common practices for selecting an appropriate k-value to minimize overfitting in complex models?
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