_______ methods for feature selection assess the relevance of a subset of features by considering their ability to predict the outcome with a particular learning algorithm.
- Embedded
- Filter
- PCA
- Wrapper
Wrapper methods for feature selection assess the relevance of a subset of features by considering their ability to predict the outcome with a particular learning algorithm. These methods involve training a model multiple times and selecting the subset of features that maximizes the model's performance.
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