Predictive Modeling Data Preparation (Inputs/Outputs Variables)

jenkins_macedo

How do you set up your variables, such that, they appear as in JMP Pro 12 as inputs and outputs in the process of developing a predictive models? Some of the inputs variables include, but are not limited to the following: orders historical data, page views data, quotes data, demographic data, overlay data, abandoned cart data, email campaign data files, mail data, etc. Any piece of advice?

Steven_Moore

If I understand your question correctly, it seems that you need to define what you are trying to predict vs. what inputs you will use to predict the outputs.  Think of it this way:  Y = f(X1, X2, X3, X4, ....Xn).  Y=Predicted outputs  X's = Input variables.  Each column can be one Y or one X.  I suggest you label them so that you understand what they represent rather than something like "Var_AX456", which might be a data aquisition system tag of some sort.  Maybe it is "Reactor Temp.", which makes more sense.

Remember that data within a column must be consistent as discrete, continuous, text, etc.  Make sure each column is give the correct characteristics (Data tType and Modeling Type).

Hope this helps.