I have used the same methods/parameters to create two decision trees. The trees classify the presence or absence of a medical condition using the presence or absence of various symptoms. There is a tree for Medical Condition #1 and another tree for Medical Condition #2. Both trees are based on the same set of symptoms, rated by patients. If Medical Condition #1 resulted in a much simpler tree than Medical Condition #2, can that suggest Medical Condition #2 is a more complex disease? If so, can anyone point me to a reference that states the complexity/depth of a tree can be representative of a complex condition?The goal of my analysis is separate from this question. I am trying to figure out all the conclusions I can draw or suggest from my analysis. Yes, I am interested in saying something about the complexity of condition A to B. When is a condition complex ? When there are many symptoms as the disease is diagnosed by the symptoms.If it's hard to diagnose ? YESif the symptoms are severe ? NOcan s.o. have both conditions ? NO
depth/complexity of decision trees
classification;statistics