In data preprocessing, what does 'normalization' refer to?
- Data imputation
- Handling categorical data
- Removing outliers
- Scaling numerical features to a standard range
Normalization in data preprocessing refers to scaling numerical features to a standard range, often between 0 and 1. This ensures that different features with different scales contribute equally to the analysis, preventing one feature from dominating the others.
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