(Choose 2 answers)
Suppose you have implemented regularized logistic regression to predict what items customers will purchase on a web shopping site. However, when you test your hypothesis on a new set of customers, you find that it makes unacceptably large errors in its predictions. Furthermore, the hypothesis performs poorly on the training set. Which of the following might be promising steps to take? Check all that apply.
A. Try increasing the regularization parameter λ.
B. Use fewer training examples.
C. Try decreasing the regularization parameter 入.
D. Try to obtain and use additional features.
E 40
