Why boosting is a more stable algorithm as compared to other ensemble algorithms?
4 years ago
Machine Learning
Boosting focuses on errors found in previous iterations until they become obsolete. Whereas in bagging there is no corrective loop. This is why boosting is a more stable algorithm compared to other ensemble algorithms.
Sanisha Maharjan
Jan 11, 2022