"Bob" <robert_harford@hotmail.com> wrote in message
news:1127238800.867555.248150@g43g2000cwa.googlegroups.com...
> I've created a view joining (in essence) customers with sales. I am
> then trying to predict sales amount (continuous) by customer attribute
> inputs. I selected DISCRETIZED(EQUAL_AREAS,4) for the predicted
> variable (sales amount).
>
> What I don't understand is what "value" is telling me in the model. I
> can understand the number of cases associated with "node total" under
> value, as well as the number of cases associated with "missing".
> However, the other values are numbers like "832.125", with an
> associated case total of 593. Now to get that case total, the sales
> amount had to be between 175 and 1,490. So in short, what the heck are
> the actual sales ranges associated with these "equal buckets".
>
> Also, as to the definition of "case", I understand that in my example
> the case is a "customer" with a key of customer_id. But in the data
> mining model, the number associated with "cases" for the "all" category
> is a distinct count of all the input variables and the predicted
> variable. So even though I define the case to be customer_id, the data
> mining output makes the case count much higher and equal to again, the
> distinct count of all the variables in the model.
>
> Thanks.
>
> --Bob Harford
> Data Warehousing Architect
> AlphaInsight Corp. / Falls Church, VA
>