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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