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3min chapter
When data leakage turns into a flood of trouble
Practical AI: Machine Learning, Data Science, LLM
How to Monitor Your Model for Leakage
There could be other things, like model drift or something where the state of your data was one way and then it fundamentally changed. Feature engineering can also leak information in a very subtle way. Often people will make the mistake of creating this feature engineering on their entire data set. And so that's a real subtle one that you won't be able to catch until you really think about how they actually did the feature engineering.
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