<ul><li>Data leakage can lead to models that fail when applied to new data.</li><li>Preprocessing the entire dataset before splitting and using features closely tied to the target variable can cause data leakage.</li><li>To prevent data leakage, it is important to split the data first, then preprocess, and double-check for any target leakage.</li><li>Building models that perform well on unseen data is more valuable than achieving perfect metrics on known data.</li></ul>

This is to Build Models That Actually Work Without High Performance Metrics

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