Feature-Engineering
Example: Feature-Engineering verbessert die Genauigkeit von Machine-Learning-Modellen deutlich.
Definition
"Feature-Engineering" refers to the process of creating, modifying, or selecting specific attributes or features from raw data to improve the performance and accuracy of machine learning models. It is a crucial step in data preparation that helps algorithms learn more effectively.
Etymology
The term "Feature-Engineering" combines 'feature,' meaning a distinctive attribute or aspect, with 'engineering,' implying the systematic design and construction of something. It originated in the field of computer science and data analysis, reflecting the creative and technical work involved in preparing data for machine learning.
Learn to use this word actively
"Feature-Engineering" appears in the Vocaplus list "German - Data & AI - (A1-C2) - set 1", containing 110 commonly used words.
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