Web Reference: Jul 23, 2025 · Normalization and scaling are crucial steps in data preprocessing. They ensure that all features are on the same footing, preventing any single feature from dominating the analysis. Jan 1, 2026 · Standardization, often referred to as z-score scaling, rescales a variable so that it has a mean of zero and a standard deviation of one. Formally, each observation is transformed by subtracting the sample mean and dividing by the sample standard deviation. Jan 27, 2026 · Scaling ensures that all features contribute proportionally to their actual predictive value rather than their arbitrary numeric range. When building composite scores or combining measurements with different units, raw values can lead to misleading comparisons.
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