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Related Questions
- Does the choice of k in k-fold cross-validation significantly impact the estimated out-of-sample error?
- Can k-fold cross-validation with a small k value lead to biased estimates of out-of-sample error?
- What is the effect of k on the variance of the estimated out-of-sample error in k-fold cross-validation?
- How does the number of folds in k-fold cross-validation affect the trade-off between bias and variance?
- Can a small k value in k-fold cross-validation result in overfitting to the training data?
- What is the optimal value of k for k-fold cross-validation in terms of estimating out-of-sample error?
- Does the choice of k in k-fold cross-validation depend on the size and complexity of the dataset?
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