Date:         Wed, 31 Jan 2001 13:23:43 GMT
Reply-To:     anna418@MY-DEJA.COM
Sender:       "SAS(r) Discussion" <SAS-L@LISTSERV.UGA.EDU>
From:         anna418@MY-DEJA.COM
Organization: Deja.com
Subject:      assessing scored data in EM: comparison of predicted and actual
              target

Hi,

could anyone help me with this problem:

I'm working with the Enterprise Miner and built a neural network, tree
and logistic regression model. The models were built with a training
and validation data set; the "Test" field in the partition node was set
to 0, as the training data is oversampled.
The original data was then scored in the score node.

My question:

The results can be assessed in the assessment node. But how can I
assess the results of the scored data set? It is not possible to put an
assessment node after the score node. I would like to have the
comparison of the actual and predicted values in a table or chart
(alpha and beta mistakes).

Thanks very much!



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