Date:         Wed, 31 Jan 2001 13:18:06 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 a scored data set in EM: comparison of actual and
              predicted targets

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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