Question: What is the key difference between bootstrapping and cross - validation? Bootstrapping uses the entire dataset for training, while cross - validation splits the data

What is the key difference between bootstrapping and cross-validation?
Bootstrapping uses the entire dataset for training, while cross-validation splits the data into subsets
Cross-validation allows replacement, while bootstrapping does not
Bootstrapping creates multiple samples with replacement, while cross-validation creates subsets without replacement
Cross-validation is used for model selection, while bootstrapping is only used for uncertainty estimation

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