정의: Feature engineering is a preprocessing step in supervised machine learning and statistical modeling which transforms raw data into a more effective set of inputs. Each input comprises several attributes, known as features. By providing models with relevant information, feature engineering significantly enhances their predictive accuracy and decision-making capability.
| 핵심 연구 분야 | Databases |
|---|---|
| 주요 연도 | 2024년 |
| 주요 연관 키워드 | research |
| 좋아요 수 | 0 |