On the Random Forest learner:
I have data with 15 value columns and 1 value column that needs to be predicted. The attributes have been read as Double, the target as String (to define a nominal value). However, the Random Forest learner, does not accept the data, shwoing the following error message: Execute failed: The target column does not have possible values assigned. Most likely it has too many different distinct values (learning an ID column?) Fix it by preprocessing the table using a "Domain Calculator".
It does not matter what data is put in: neither the original values [0,1] nor the autoscaled values (so the ensemble avg=0, std=1) is accepted. I would appreciate to get some clues.
Please do provide more helpful clues: the error message is not helpful at all, because it's absolutely a miracle why a value with a continuous range of double value is considered invalid input.