scaling

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A commonly used practice in feature engineering to tame a feature’s range of values to match the range of other features in the dataset. For example, suppose that you want all floating-point features in the dataset to have a range of 0 to 1. Given a particular feature’s range of 0 to 500, you could scale that feature by dividing each value by 500.

See also normalization.