Stratification is a technique used to address class imbalance in cross-validation.Review LaterTrueFalse

Stratified K-Fold Cross-Validation preserves the class distribution within each fold to ensure consistent representation of different classes.Review LaterTrueFalse

What is stratification?

What is stratified sampling?

How does boosting handle class imbalance?Review LaterBoosting oversamples the majority class to balance the classes.Boosting assigns higher weights to misclassified instances to focus on the minority class.Boosting assigns higher weights to correctly classified instances to focus on the minority class.Boosting uses undersampling to balance the classes.

Group K-Fold Cross-Validation is beneficial when dealing with:Review LaterClass imbalanceTime series dataCorrelated or dependent data pointsLarge datasets