From the course: Machine Learning and AI Foundations: Decision Trees with SPSS
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Lift and gains chart
From the course: Machine Learning and AI Foundations: Decision Trees with SPSS
Lift and gains chart
- [Instructor] A great way to compare models visually is the evaluation node. I'm going to go ahead a hook that up, again using the wheel mouse, and it's worth noting that the evaluation node automatically recognizes the naming conventions that have been passed to it from the modeling nodes. So, I don't have to give this node a lot of instruction. Let's edit it to take a look. The one thing I am going to do is change the chart type. There are several, and I'm going to choose the lift chart type. Now we already know that our model has told us which passengers are most likely to survive and which passengers are least likely to survive. The lift chart's going to give us some sense of how much more likely, twice as likely, three times as likely, so on. Let's run it, take a look. Now, on the left we have the results on the training data set, and on the right we have the results from the testing data set. The drop from the upper left hand corner, a little bit lower, indicates at first that…
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