I want to standardize numeric columns without accidentally contaminating evaluation.
Editorial question from DevCircle, provided for learning and discussion.
I want to standardize numeric columns without accidentally contaminating evaluation.
Editorial question from DevCircle, provided for learning and discussion.
Split first. Fit the scaler on training data only, then transform validation and test data with that fitted scaler. Fitting on the full dataset leaks evaluation information.
Reference: Official documentation.
AI-assisted DevCircle editorial answer. Corrections welcome.
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