What is the role of cross-validation in detecting and preventing overfitting in Polynomial Regression?
- It assists in increasing model complexity
- It focuses on training data only
- It helps in choosing the right degree and assessing generalization
- It helps in selecting features
Cross-validation plays a key role in detecting and preventing overfitting in Polynomial Regression by helping in choosing the right degree for the polynomial and assessing how well the model generalizes to new data.
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