Which of the following strategies can help mitigate overfitting when training a spam classifier? (Select three correct options.)

Real Exam

A

Use an expanded set of features

5.6%

B

Increase the number of training examples

22.2%

C

Decrease the value of regularization parameter

8.3%

D

Use a reduced set of features

30.6%

E

Increase the value of regularization parameters

33.3%

F

Decrease the number of training examples

Powered ByGPT-5.2

Google Professional Data Engineer