How do the hyperparameters in Ridge and Lasso affect the bias-variance tradeoff?

  • Increase bias, reduce variance
  • Increase both bias and variance
  • No effect
  • Reduce bias, increase variance
The hyperparameters in Ridge and Lasso control the regularization strength. Increasing them increases bias but reduces variance, helping to prevent overfitting.
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