All 7 Cross-Validation Techniques questions
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How does Cross-Validation Techniques work

Beginner

Answer

In k fold cross validation, the data is divided into k equal parts. The model is trained on k minus one parts and tested on the remaining part, and this process repeats k times so every part is used for testing once.
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