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.
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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