All 7 Cross-Validation Techniques questions
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What are best practices for Cross-Validation Techniques

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Answer

Use stratified cross validation for classification tasks with uneven class sizes, and always perform any data preprocessing separately within each fold.
Real-world example A team building a disease prediction model uses five fold cross validation to make sure their reported accuracy is stable and not just the result of one favorable data split.

Common follow-ups: What is a validation set, What is overfitting, What is model evaluation

Machine Learning Fundamentals Deep Learning Supervised & Unsupervised Learning
All 7 Cross-Validation Techniques questions