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Bill | 27 Jun 2012 09:55
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what is the significance of this Warning?

Hello All,

I get this warning
"[InputMappedClassifier] Warning: incoming nominal attribute Color does not have the same number of values as model attribute Color"

The attribute Color is the class attribute in my case (although the warning message does not seem specify that.) I have read that 
"InputMappedClassifier that can
handle discrepancies between train and test headers by building a mapping between train and test attributes and the values of nominal attributes. However, it can't handle the case where there are different class values between the two data sets. "

Question:
Since this is a warning and not an error I am not sure if this will ruin the prediction/classification that is being attempted. Any comments?

Also, the way I have attempted to fix this is to put more records into the test set even though they are being artificially generated. I suppose that the fact that the records are artificial will not effect the predictions on the non-artificial records since both types of records are in just the test set and not effecting model generation. Does this sound correct?
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