You have built a Polynomial Regression model that initially seems to suffer from overfitting. After applying regularization, the issue persists. What other methods might you explore?
- Add more features
- Increase the regularization penalty
- Reduce the polynomial degree or perform feature selection
- Use a linear model without change
If regularization alone does not resolve overfitting, reducing the polynomial degree or performing feature selection to simplify the model can be explored. These changes may help the model to generalize better.
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