In a machine learning project, you are using cross-validation to evaluate the performance of your model. You have a dataset with 1000 samples and want to perform stratified K-fold cross-validation. Which of the following statements is true, and why?

Simulated

Stratified K-fold cross-validation ensures that each fold has a balanced representation of the target variable.

72.7%

Stratified K-fold cross-validation ensures that the training set is always larger than the validation set.

9.1%

Stratified K-fold cross-validation is not suitable for time series data.

12.1%

Stratified K-fold cross-validation is not suitable for datasets with imbalanced classes.

6.1%

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