To prevent overfitting in Polynomial Regression, you might use techniques like _______, ________, or ________ regularization.
- Lasso, Accuracy, Elastic Net
- Lasso, Ridge, Elastic Net
- Lasso, Ridge, Stability
- Ridge, Stability, Elastic Net
Lasso, Ridge, and Elastic Net regularization techniques can be used to prevent overfitting in Polynomial Regression by adding constraints to the coefficients.
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Related Quiz
- The addition of _________ in the loss function is a common technique to regularize the model and prevent overfitting.
- Ridge regularization adds a ________ penalty to the loss function, which helps to constrain the coefficients.
- In the context of regression analysis, ________ accounts for the number of predictors in the model and adjusts the R-Squared accordingly.
- Why might pruning be necessary in the construction of a Decision Tree?
- A colleague has built a Polynomial Regression model and suspects overfitting. What diagnostic tools and techniques would you recommend to confirm or deny this suspicion?