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Why is feature engineering considered a crucial step in the machine-learning process?
A
Feature engineering is only relevant for small datasets.
B
Properly prepared data can enhance model performance, generalization, and interpretability, leading to better overall model outcomes.
C
It primarily focuses on post-processing steps after model development.
D
Feature engineering has no impact on model interpretability.
