How does Scikit-Learn prevent data leakage in Pipelines?

Pipelines ensure each transformation is learned only on training folds during cross-validation.

When cross-validation is used with a Pipeline, each fold triggers fit() only on training subset. Transformers inside pipeline do not see validation data, ensuring no statistical leakage. This is critical for scaling, encoding, and feature selection steps that compute dataset statistics.