What is k-fold cross-validation and why is it preferred over a single train-test split?

Question

Data Science with Python — Medium

What is k-fold cross-validation and why is it preferred over a single train-test split?

Accepted Answer

K-fold cross-validation partitions data into k folds, trains on k-1 folds, and validates on the remaining fold iteratively. This method provides a more reliable performance estimate with lower variance compared to a single train-test split.