What is the impact of PCA on the interpretability of the original features?
- It depends on the data
- It doesn't affect interpretability
- It enhances interpretability
- It reduces interpretability
PCA typically reduces the interpretability of the original features. This is because each principal component is a linear combination of all the original features, making it difficult to understand how individual features affect the outcome.
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