As I am following this set of videos describing a modeling example in SAS Enterprise Miner, I see that the videos always use a "selection depth" of 5 to compare models. The documentation from SAS does not explain what "selection depth" is, it just says you can set it to 5 or 10 or some other number. Can someone explain what "selection depth" means (which, by the way, should be in the documentation somewhere) and why you might choose it to be the value of 5 rather than some other value?
The various assessment measures where you would use Selection Depth are documented here in the chapter on the Model Comparison node:
and the Selection Depth property is described at the bottom of this section (or you can just search the chapter on the Model Comparison node for "selection depth") - essentially it is the decile you want to use for lift and gain-type statistics when comparing your models.
The various assessment measures where you would use Selection Depth are documented here in the chapter on the Model Comparison node:
and the Selection Depth property is described at the bottom of this section (or you can just search the chapter on the Model Comparison node for "selection depth") - essentially it is the decile you want to use for lift and gain-type statistics when comparing your models.
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Use this tutorial as a handy guide to weigh the pros and cons of these commonly used machine learning algorithms.
Find more tutorials on the SAS Users YouTube channel.