4 docs tagged with "validation"

LOO-CV, LPO-CV, and K-fold; mechanics of the CV loop; when to use each method

Data leakage trap (scaling before splitting); Pipeline to prevent it; nested CV for hyperparameter tuning; scikit-learn API; comparing models

How to choose K; why stratified K-fold is essential on imbalanced data; detailed flow diagram and step-by-step process

The train-test split is a lottery; why you need multiple splits to estimate generalisation reliably