Interested to Buy Any Domain ? << Click Here >> for more details...
Answer Posted / Sajal Sharma
Bagging (Bootstrap Aggregating) is an ensemble method used in machine learning that creates multiple subsets of the training data through random sampling with replacement, trains a decision tree on each subset, and averages their results to reduce variance. Boosting, on the other hand, is another ensemble method where weak learners are combined to create a strong learner by iteratively training models that focus on misclassified instances in the previous round.
| Is This Answer Correct ? | 0 Yes | 0 No |
Post New Answer View All Answers
Please Help Members By Posting Answers For Below Questions
No New Questions to Answer in this Category !! You can
Post New Questions
Answer Questions in Different Category
