Bagging vs Boosting in machine learning
Comparison of bagging and boosting in machine learning Aspect Bagging Boosting Approach Parallel, independent base models Sequential, adaptive base models Training Independent training of models Sequential training of models Weighting of Instances All instances have equal weight Misclassified instances have higher weight Handling of Errors Reduces variance and overfitting Reduces bias and improves accuracy Model…