What is the role of feature engineering in data mining pipelines?

Feature engineering transforms raw data into meaningful inputs for models.

Feature engineering involves creating, selecting, and transforming variables to improve model performance. It includes encoding categorical variables, scaling numerical features, extracting temporal patterns, and generating interaction features. In data mining, feature engineering often has more impact than the choice of algorithm itself.