From the course: Machine Learning and AI: Advanced Decision Trees with SPSS
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How QUEST handles ordinal and continuous variables
From the course: Machine Learning and AI: Advanced Decision Trees with SPSS
How QUEST handles ordinal and continuous variables
- [Narrator] Let's discuss how QUEST handles ordinal and continuous variables. We have two issues. The first issue is how does QUEST handle the ranking of variables? How does it determine where Fare will fall in the list of variables from most to least important? Well, in the case of QUEST, in continuous and ordinal variables it's using the F-test which is going to produce a statistical test and a P-value. Since categorical values are handled with chi-square which also produces a P-value, all the variables in the dataset can be ranked from most important to least important using these P-values. The next issue is how does QUEST determine where the cut points should be? In other words, what Fare amount in British pounds should separate the members of Node One from the members of Node Two? Let's talk about both of these issues in a little bit more detail. How does F-test work? Well, the first thing is to be clear about what we're attempting to do. We're trying to predict a…
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