Which among the following are some of the differences between bagging and boosting?
A. In bagging we use the same classification algorithm for training on each sample of the data, whereas in boosting, we use different classification algorithms on the different training data samples
B. Bagging is easy to parallelize whereas boosting is inherently a sequential process
C. In bagging we typically use sampling with replacement whereas in boosting, we typically use weighted sampling techniques
D. In comparison with the performance of a base classifier on a particular data set, bagging will generally not increase the error whereas as boosting may lead to an increase in the error
Answer:B
Which among the following are some of the differences between bagging and boosting?
A. In bagging we use the same classification algorithm for training on each sample of the data, whereas in boosting, we use different classification algorithms on the different training data samples B. Bagging is easy to parallelize whereas boosting is inherently a sequential process C. In bagging we typically use sampling with replacement whereas in boosting, we typically use weighted sampling techniques D. In comparison with the performance of a base classifier on a particular data set, bagging will generally not increase the error whereas as boosting may lead to an increase in the error