A machine learning model’s effectiveness is heavily reliant on how well its evaluation is conducted. Numerous “excellent” models fail in production because of inadequate data splitting and unnoticed data leakage. This article outlines ways to organize the train/validation/test splits and illustrates what data leakage looks like in actual projects. Why splits matter If you train…
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