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What is stratified k-fold cross-validation?

A Splitting so each fold preserves the original class proportions
B Splitting by time order
C Splitting into folds of different sizes
D Splitting only the training set

Answer

Splitting so each fold preserves the original class proportions

It should be the default for classification, particularly with imbalanced classes where a random fold might contain very few positives.

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