Computer Science, asked by AnshitaRana1397, 1 year ago

Briefly explain bagging and boosting of classifiers

Answers

Answered by samshad2
1
this approach allows the production of better predictive performance compared to a single model .that combine several machine learning techiniques into one productive model in order to decrease variance ( bagging), bias ( boosting) , or improve predictions.
Similar questions