Hello Everbody,
I'm trying to use two different datasets for a model, i.e. training/testing and validation. Please see the picture below:
As you can see, I partitioned my Raw dataset (after having assigned variable roles target , input, etc.) into 70% training and 30% testing. Also, I have a second dataset called "Validation" which I assigned the role of "Validate".
Regarding the model (here: a decision tree) I now want Enterprise Miner (version 12.1) to use the partitioned "training" dataset to set up a model and use the "test" partition to test it. AFTERWARDS I WANT THE GENERATED MODEL TO BE VALIDATED ON THE SECOND DATASET ("Validation"). There, however, I only have left the the target variable, an ID variable and another variable I assigned the role of "Rejected":
When I run this model I get the following error:
What am I doing wrong? Do I first have to use a "Score" node after the decission tree node?
Any suggestion would be appreciated.
Thank you,
Felix
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