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 andvariance with lambda.

A. in case of very large lambda; bias is low, variance islow
B. in case of very large lambda; bias is low, variance ishigh
C. in case of very large lambda; bias is high, variance islow
D. in case of very large lambda; bias is high, variance ishigh
Answer» D. in case of very large lambda; bias is high, variance ishigh


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