What is the effect of increasing the regularization parameter in Ridge and Lasso regression?

  • Decrease in bias and increase in variance
  • Increase in bias and decrease in variance
  • Increase in both bias and variance
  • No change in bias and variance
Increasing the regularization parameter leads to greater regularization strength, resulting in an increase in bias and a decrease in variance, thus constraining the model complexity.
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