Which process involves transforming and creating new variables to improve a machine learning model's predictive performance?
- Data preprocessing
- Feature engineering
- Hyperparameter tuning
- Model training
Feature engineering is the process of transforming and creating new variables based on the existing data to enhance a model's predictive performance. This can involve scaling, encoding, or creating new features from existing ones.
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