Feature Engineering
/ˈfiːtʃər ˌendʒɪˈnɪərɪŋ/
Definition
The process of transforming raw data into informative input features that improve model performance.
Example in context
"Extracting day-of-week from a timestamp was the key feature — the model's AUC jumped from 0.71 to 0.85."
Related terms
Practice this term
Master Feature Engineering in context by working through exercises in the Data Science & ML module. You'll see the term used in real engineering scenarios with multiple-choice, fill-in-the-blank, and matching drills.