variable rescaling
[ˈvɛərɪəbl ˌriːˈskeɪlɪŋ]
noun
redimensionamento de variáveis
1. A data preprocessing technique in statistics and machine learning where variables are transformed to a common scale, typically through normalization or standardization, to ensure equal weighting in analyses
Variable rescaling was applied to the dataset before training the neural network to improve convergence speed.
O redimensionamento de variáveis foi aplicado ao conjunto de dados antes do treinamento da rede neural para melhorar a velocidade de convergência.
2. The process of adjusting the range or distribution of predictor variables to a standardized form, such as zero mean and unit variance
Variable rescaling ensures that features with larger scales do not dominate the model.
O redimensionamento de variáveis garante que características com escalas maiores não dominem o modelo.
This is a specialized technical term primarily used in academic, scientific, and data science communities in both Brazil and Portugal. It is particularly prevalent in universities with strong engineering and computer science programs. The term reflects the influence of English technical vocabulary in Portuguese-speaking technical domains.
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