feature variables
[ˈfiːtʃər ˈvɛriəbəlz]
nounpl: feature variables
variáveis de características
1. In machine learning and data analysis, independent variables or attributes used as input to predictive models to make predictions or classifications
The machine learning model uses feature variables such as age, income, and credit score to predict loan approval.
O modelo de aprendizado de máquina usa variáveis de características como idade, renda e pontuação de crédito para prever aprovação de empréstimo.
2. Characteristics or attributes of data that are selected and engineered to improve model performance
Feature variables were carefully selected and normalized to enhance the accuracy of the classification algorithm.
As variáveis de características foram cuidadosamente selecionadas e normalizadas para melhorar a precisão do algoritmo de classificação.
This is a specialized term primarily used in data science, machine learning, and statistical analysis communities. In Brazil, English terminology is frequently retained in technical documentation and academic papers, though Portuguese translations are increasingly standardized in educational materials. The term reflects the global nature of AI and data science discourse.
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