Learn about Bagging (Bootstrap AGGregatING) in this 12-minute educational video that covers the working principles of bagging, practical examples and hyperparameters, Out-Of-Bag (OOB) error estimation techniques, advantages and limitations of the approach, and the relationship between bagged trees and Random Forests. Gain valuable insights into this ensemble learning method that combines multiple models to improve prediction accuracy and stability.
Overview
Syllabus
Bagging (Bootstrap AGGregatING)
Taught by
NPTEL-NOC IITM
