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5. (6 pts) You are training a classification model with linear regression. Which of the following statements are true? Indicate true or false for each
5. (6 pts) You are training a classification model with linear regression. Which of the following statements are true? Indicate true or false for each item.
- Adding many new features to the model helps prevent overfitting on the training set
- Introducing regularization to the model always results in equal or better performance on examples not in the training set
- Adding many new features to the model makes it more likely to overfit the training set
- Adding a new feature to the model always results in equal or better performance on examples not in the training set
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