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warning message when using Random Forest
I'm new to RapidMiner, and was trying out the Random Forest Model. I read two CSVs separately (training set has 12 attributes, test set has the same minus the label to be predicted). When I run, this message appeared:
PM WARNING: Random Forest Model: The internal nominal mappings are not the same between training and application for attribute 'Pclass'. This will probably lead to wrong results during model application.
The result did seem wrong so I want to investigate what causes the above. Any suggestions where to start?
Thanks in advance,