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Q. |
## How does the bias-variance decomposition of a ridge regression estimator compare with that of ordinary least squares regression? |

A. | ridge has larger bias, larger variance |

B. | ridge has smaller bias, larger variance |

C. | ridge has larger bias, smaller variance |

D. | ridge has smaller bias, smaller variance |

Answer» C. ridge has larger bias, smaller variance |

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- What is/are true about ridge regression? 1. When lambda is 0, model works like linear regression model 2. When lambda is 0, model doesn't work like linear regression model 3. When lambda goes to infinity, we get very, very small coefficients approaching 0 4. When lambda goes to infinity, we get very, very large coefficients approaching infinity
- What is/are true about ridge regression? 1. When lambda is 0, model works like linear regression model 2. When lambda is 0, model doesn’t work like linear regression model 3. When lambda goes to infinity, we get very, very small coefficients approaching 0 4. When lambda goes to infinity, we get very, very large coefficients approaching infinity
- 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.
- 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.
- 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.
- Lasso can be interpreted as least-squares linear regression where
- Which of the following is true about �Ridge� or �Lasso� regression methods in case of feature selection?
- Which of the following is true about �Ridge� or �Lasso� regression methods in case of feature selection?
- Which of the following is true about “Ridge” or “Lasso” regression methods in case of feature selection?
- Which of the following is true about “Ridge” or “Lasso” regression methods in case of feature selection?