From the course: Machine Learning and AI: Advanced Decision Trees with SPSS

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What is bagging?

What is bagging?

From the course: Machine Learning and AI: Advanced Decision Trees with SPSS

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What is bagging?

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- [Instructor] Now, let's talk about a very influential technique called bagging, which is a kind of homogeneous ensemble. We'll be demonstrating in in Modeler. I'm going to begin by opening a stream. We're going to use the Quest stream. Bagging can be applied in many situations, not just Quest. So we're simply using Quest as an example of this technique. I'm going to go inside the Quest modeling node, and over to Build Options, and we're going to go ahead and go right to generating the model. And as you notice below, there's a checkbox that says that we can go ahead and enhance model stability through bagging, but initially what I'd like to do is go ahead and run this model as is. There it is. And I'm going to sever this link, because I'm going to go ahead and now create a second model using bagging so that we can compare and contrast the two in a couple of moments. So, I go back in and I choose bagging. And now I've got two models. The first one without bagging and the second one…

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