Which of these methods is used to generate additional features? Select the correct option.
The correct answer is Feature engineering.
Feature engineering involves creating new input features from raw data to improve the performance of a machine learning model. This process might include transforming variables, combining features, or extracting useful information from existing data.
Feature engineering involves creating new input features from raw data to improve the performance of a machine learning model. This process might include transforming variables, combining features, or extracting useful information from existing data.
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