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Information leakage occurs when data from outside the training set is inadvertently used in the model, leading to overfitting.
Occurs when the model unintentionally learns from data it shouldn't have access to
Can lead to overfitting and inaccurate predictions
Common in cases where data leakage from the future or target variable is present
Examples include using target variable in feature engineering or including future da
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