The feature engineering
Exemple : Feature engineering transforms data to improve model performance
Definition
"The feature engineering" refers to the process of selecting, modifying, or creating new variables or features from raw data to enhance the performance of machine learning models. This technique is crucial in data science for improving model accuracy and predictive power.
Étymologie
The term "feature engineering" combines 'feature,' meaning an individual measurable property or characteristic of a phenomenon, and 'engineering,' which implies the systematic application of scientific and mathematical principles. The phrase originated in the field of machine learning and data science to describe the creative and technical process of preparing data features.
Apprenez à utiliser ce mot dans la pratique
"The feature engineering" figure dans la liste Vocaplus "Anglais - Données et IA - (A1-C2) - partie 1", qui contient 110 mots fréquemment utilisés.
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