Apa itu Feature engineering?

Feature engineering is the construction of model inputs from raw data: choosing what to measure (a return, a volume, a book imbalance), over which window, and how to transform it (scale, rank, clip, difference) so that its relation to the target is stable and its values are known at decision time.