Bagging

Ensemble Technique

Machine Learning

Stacking

January 10, 2021

How is Stacking different from bagging?

Stacking is different from bagging in two aspects:

  1. Each subset is trained using a different algorithm
  2. Instead of aggregation a meta learner model is used for combining the outputs of different models.
  3. It takes larger computation time than bagging.

by : Monis Khan

Quick Summary:

Stacking is different from bagging in two aspects: Each subset is trained using a different algorithm Instead of aggregation a meta learner model is used for combining the outputs of different models. It takes larger computation time than bagging.