

MCQOPTIONS
Saved Bookmarks
1. |
Suppose you have fitted a complex regression model on a dataset. Now, you are using Ridge regression with tuning parameter lambda to reduce its complexity. Choose the option(s) below which describes relationship of bias and variance with lambda. |
A. | In case of very large lambda; bias is low, variance is low |
B. | In case of very large lambda; bias is low, variance is high |
C. | In case of very large lambda; bias is high, variance is low |
D. | In case of very large lambda; bias is high, variance is high |
Answer» D. In case of very large lambda; bias is high, variance is high | |