Question

Which among the following prevents overfitting when we perform bagging?
A) The use of sampling with replacement as the sampling technique
B) The use of weak classifiers
C) The use of classification algorithms which are not prone to overfitting
D) The practice of validation performed on every classifier trained

Answer 1

the answer is will b

Answer 2

Hi,

Statement: Which among the following prevents over fitting when we perform bagging?

Answer: B)The use of weak classifiers

Explanation: Bagging is way to reduce variance of your prediction by extracting data from the original data source and produce multi sets the same model. This does not hinder in the process but reduces the variance and helps in increasing the efficiency.

Thanks for asking.