Differentiate between feature selection and feature extraction in the context of dimensionality reduction.
- Both are the same
- Depends on the data
- Feature selection picks, extraction transforms
- Feature selection transforms, extraction picks
Feature selection involves picking a subset of the original features, whereas feature extraction involves transforming the original features into a new set. Feature extraction usually leads to new features that are combinations of the original ones, while feature selection maintains the original features but reduces their number.
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