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Q. 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

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