How does dimensionality reduction help in reducing the risk of overfitting?
- All of the above
- By reducing noise
- By removing irrelevant features
- By simplifying the model
Dimensionality reduction helps in reducing the risk of overfitting by removing irrelevant features (reducing complexity), reducing noise (avoiding fitting to noise), and simplifying the model (making it more generalized).
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