: @ Safari File Edit View History Bookmarks Window Help ee eee Hir- @ olympus.mygreatlearning.com ' G ia girls' - Lele Sadii - DOWN (Official Music Video)... @ Amazon.com Shopping Cart G Great Learning G how to read namaz shia girls' - Google S... X Boosting: Graded Quiz = Question 1/10 1 Marks Answer Choices Select the right answer Which of the following statement(s) is/are true for bagging and boosting? A.B, and C A) Bagging: Weak learners are built in parallel Boosting: Weak learners are built in sequence one after the other B,C, and D B) Bagging: More weight to those weak learners with better performance Boosting: Each weak learner has equal weight in the final prediction. @) A, C, and D C) Bagging: Samples are drawn from the original dataset with replacement to train each individual weak learner AandD Boosting: Subsequent samples have more weight of those observations which had relatively higher errors in previous weak learners D) Bagging: Random forest is a special type of bagging technique Boosting: Adaboost is a special type of boosting technique