MCQOPTIONS
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| 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 | |