Bagging

Classification

Ensemble Technique

Machine Learning

January 9, 2021

How prediction is made in Bagging?

Bagging makes prediction using the following steps:

1. Bootstrap method is used to create different subsets of data
2. A model is created for each subset
3. The output of each algorithm is aggregated to make the final prediction. In classification problems the voting is used as aggregation method. While in regression problems mean is used as method of aggregation.

It should be noted that in bagging only one algorithms is used to create all the models. The model outputs are different from one another owing to difference in data fed to them and not because of difference in algorithm used.

 

by : Monis Khan