From the course: SPSS: Data Visualizing and Data Wrangling
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Decision tree classification in SPSS
From the course: SPSS: Data Visualizing and Data Wrangling
Decision tree classification in SPSS
- [Speaker] Sometimes, you'll see pictures of people doing their business planning at a big whiteboard with lots of post-it notes and they're drawing out decisions if this, then that. And they make a flow diagram. Now that's one kind of decision tree, but what I want to talk about right now is a different kind. That's sometimes called decision tree analysis. A decision tree is a way of going through the data and selecting variables and cut points in those variables that best separate cases so that you can get to the best predictive model of what you have. And what's neat about it is in one sense, it doesn't build a linear model. It's a graphical model and it's very easy to interpret and it can even be very easy to apply. And so let me show you how this works in SPSS. I'm using a dataset here. It's the demo.save dataset, but I recoded some of the variables to get them into the right level of classification that is specifically these, yes-no variables here at the end. And I'm going to…
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Hierarchical clustering8m 37s
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k-means clustering8m 7s
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k-nearest neighbors classification10m 41s
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Decision tree classification in SPSS9m 36s
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Neural networks in SPSS: Multilayer perceptron classification8m 11s
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Neural networks in SPSS: Radial basis function classification4m 35s
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