(Choose 2 answers)
Which of the following statements are true? Check all that apply.
A. Suppose you are training a regularized linear regression model. The recommended way to choose what value of regularization parameter 入 to use is to choose the value of A which gives the lowest cross validation error.
B. The performance of a learning algorithm on the training set will typically be better than its performance on the test set.
C. Suppose you are training a regularized linear regression model. The recommended way to choose what value of regularization parameter 1 to use is to choose the value of which gives the lowest training set error.
D. It is okay to use data from the test set to choose the regularization parameter 入, but not the model parameters (Θ).
Elt 41
