Study QuoteA model's perfection is often a mask for leakage; verify the boundaries before trusting the result.

High accuracy can be deceptive if the model has accidentally accessed target information during training, creating a false sense of predictive power.

Try this: Perform a rigorous feature importance analysis and check for high correlation between predictors and the target to identify potential leakage.

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Open Algebra and Knots

Matthew Salomone

Open book
Machine LearningData IntegrityModel ValidationFeature Engineering