I notice that on many examples one is keen to convert Age to a categorical age range.
I am wondering if that is always necessary.
The famous golf play decision tree example has ranges for temperatures up-front. I would have thought from other examples the golf play with actual temperatures would give near enough the same predictions. I am going to test that in the next free time slot.
I am looking at a diabetes case in which the example states let us "bin" the ages. To me the age is an automatically in its own right ordinal attribute and I would have thought tat for logistic regression we would not need to bin / categorize it. Age has a limited range.