The feature engineering
Example: 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.
Etymology
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.
Learn to use this word actively
"The feature engineering" appears in the Vocaplus list "English - Data & AI - (A1-C2) - set 1", containing 110 commonly used words.
Would you like to not only understand these words, but also remember them and use them actively? Create a free account and select as the language you want to learn.
Create a free account
