Dell-EMC
E20-007 · Question #3
You have fit a decision tree classifier using 12 input variables. The resulting tree used 7 of the 12 variables, and is 5 levels deep. Some of the nodes contain only 3 data points. The AUC of the…
The correct answer is D. The tree is probably overfit. Try fitting shallower trees and using an ensemble method. See the full explanation below for the reasoning.
Question
You have fit a decision tree classifier using 12 input variables. The resulting tree used 7 of the 12 variables, and is 5 levels deep. Some of the nodes contain only 3 data points. The AUC of the model is 0.85. What is your evaluation of this model?
Options
- AThe AUC is high,so the overall model is accurate. It is not well-calibrated,because the small nodes will
- BThe AUC is high,and the small nodes are all very pure. This is an accurate model.
- CThe tree did not split on all the input variables. You need a larger data set to get a more accurate model.
- DThe tree is probably overfit. Try fitting shallower trees and using an ensemble method.
How the community answered
(37 responses)- A11% (4)
- B16% (6)
- C3% (1)
- D70% (26)
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