normalizeScoresscores
normalizeScoresscores is a family of techniques for transforming a set of numerical scores into a common scale, enabling fair comparison and combination across disparate sources. It is commonly used when multiple indicators must be integrated, when inputs to a model come from different units, or when ranking items on a unified basis.
Common methods include min-max normalization, which rescales values to a fixed range such as [0, 1] using
Selection depends on the intended goal. Min-max preserves the order and the relative distance within the original
Practical considerations include ensuring consistent normalization parameters across data splits to avoid leakage, handling missing values