12.3.C - Stratified K-Fold Cross-Validation
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Practice Questions
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What is Stratified K-Fold Cross-Validation?
💡 Hint: Think about the importance of balance in data.
Why is it particularly useful for imbalanced datasets?
💡 Hint: Focus on class representation.
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Interactive Quizzes
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What is the primary function of Stratified K-Fold Cross-Validation?
💡 Hint: Consider the importance of class representation in cross-validation.
True or False: Stratified K-Fold can be beneficial for datasets with a balanced class distribution.
💡 Hint: Think of the role of validation in model training.
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Challenge Problems
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Design an experiment where you compare the model performance using regular K-Fold and Stratified K-Fold on an imbalanced dataset. Describe your approach including metrics you would evaluate.
💡 Hint: Focus on how each method might affect your results.
Given a dataset with a 90%-10% class imbalance, predict the impact of not using Stratified K-Fold during training and illustrate the potential outcomes.
💡 Hint: Consider what happens when critical data is absent.
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