I apply imputation, scaling, and a model. How can I keep preprocessing consistent during evaluation?
Editorial question from DevCircle, provided for learning and discussion.
A Pipeline combines transformations and an estimator. During cross-validation, preprocessing is fitted within each training fold, reducing leakage. Pass the whole pipeline to the evaluation or tuning procedure.
Reference: Official documentation.
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