Classification

Ensemble Technique

Machine Learning

January 9, 2021

What is pasting? How is it different from bagging?

Pasting is an ensemble technique similar to bagging except for the fact that in pasting sampling is done without replacement i.e. an observation can be present in only one subset. Since pasting limits diversity of models its performance with is suboptimal when compared to bagging, particularly in case of small datasets. However, pasting is preferred over bagging in case of so large datasets, owing to computational efficiency.

by : Monis Khan

Quick Summary:

Pasting is an ensemble technique similar to bagging except for the fact that in pasting sampling is done without replacement i.e. an observation can be present in only one subset. Since pasting limits diversity of models its performance with is suboptimal when compared to bagging, particularly in case of small datasets. However, pasting is preferred […]