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.

1. Adding many new features to the model helps prevent overfitting on the training set
2. Introducing regularization to the model always results in equal or better performance on examples not in the training set
3. Adding many new features to the model makes it more likely to overfit the training set
4. Adding a new feature to the model always results in equal or better performance on examples not in the training set