Data & Datasets · Level 2 of 5
Imputation
Replacing missing values using a specified rule or estimated model.
The imputer should be fitted on training data to prevent leakage.
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Imputation. Replacing missing values using a specified rule or estimated model. The imputer should be fitted on training data to prevent leakage. For example: Missing training measurements are replaced using training-set medians.
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This helps you prevent misleading experiments caused by data preparation and split mistakes.
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