Question: Some ML algorithms use n - fold cross - validation ( CV ) over the training set with the purpose to: Resample the training dataset

Some ML algorithms use n-fold cross-validation (CV) over the training set with the purpose to:
Resample the training dataset for randomization.
Optimize over the training dataset.
Establish the correct accuracy value.
Remove the use of the random seed.
Some ML algorithms use n-fold cross-validation (CV) over the training set

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