The feature selection
Exemple : Feature selection chooses relevant variables for improving model performance
Definition
"Feature selection" refers to the process in research and data analysis where relevant variables or attributes are identified and chosen to improve the performance and efficiency of a model. It helps reduce complexity and enhances the accuracy of predictive models by focusing on important data features.
Étymologie
The term "feature selection" combines 'feature,' meaning an important attribute or aspect, with 'selection,' derived from Latin 'selectio,' meaning the act of choosing. Together, "feature selection" describes the methodical picking of key variables in data science and research fields, a practice that has evolved with the rise of machine learning.
Apprenez à utiliser ce mot dans la pratique
"The feature selection" figure dans la liste Vocaplus "Anglais - Recherche - (A1-C2) - partie 1", qui contient 108 mots fréquemment utilisés.
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