Hi All,
I would like to know if JMP produces SAS Code that shows the rules behind a Decision Tree?
Many Thanks
Alice
If you are asking if the Partition Platform can produce the scoring code in SAS syntax, the answer is yes. Below is the example from the Scripting Index
Help==>Scripting Index
Names Default To Here( 1 ); dt = Open( "$SAMPLE_DATA/Car Poll.jmp" ); obj = Partition( Y( :country ), X( :sex, :marital status, :age, :type, :size ), Method( "Decision Tree" ), Validation Portion( .2 ) ); obj << SplitBest( 2 ); code = obj << Get SAS Data Step;
thank Jim!
Well, maybe I missed the questioner on the first floor.
I wanted to understand how the JMP decision tree worked out this result.It is not JMP that releases the resulting formula into SAS or python code.
I understand the steps of JMP release formula, and I can directly restore JMP formula with VBA full automatic and check the calculation in excel.
I mainly want to understand what specific steps JMP can use to calculate this result formula.It's not just simple：obj = Partition(
JMP's decision tree does not provide many options, but I would also like to focus on whether it is feasible to judge the formula. It only USES the average value to judge the formula.
