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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