Question

Do you think that the bagging procedure can be useful to improve the performance of linear regression? Yes No Insufficient information to answer the question

Answer 1

Explanation:

Do you think that the bagging procedure can be useful to improve the performance of linear regression? Yes No Insufficient information to answer the question.

Answer 2

Yes. Bagging procedure is useful to improve the performance of linear regression.

Explanation:

• Bagging is also known as Bootstrap aggregating. It is defined as one of the first ensemble algorithms.
• In this, the ML practitioners learn and design to improve the accuracy and stability of the classification and regression algorithms.  
• By average modeling, bagging is helpful for reducing the over fitting and variance. This bagging procedure is usually applied to decision tree methods, but it can also be used with any type of method.

To know more about bagging procedure,

1) Write about the following terms:- Emasculation Bagging  Tagging

https://brainly.in/question/11854386

2) Which of the following is riot a clustering approach A) Partitioning B) Hierarchical C) Density-based D) Bagging

https://brainly.in/question/6246602