Selecting label

RyanRezel

I have a dataset with an attribute that I want to set as the label to predict the employee turnover rate. This attribute consists of 5 entries and 1 is voluntarily terminated and the other is a leave of absence, is there a way I can tell the model to distinguish between the two when predicting.
please let me know thanks.

Telcontar120

Yes, as long as they are coded differently then by default they will be treated as different categories.  You can use many different modeling algorithms in RapidMiner to predict polynominal outcomes when you have more than two terminal classes.  But when you talk about calculating the "turnover rate" it sounds like that is a singular measure, so in that case you may also want a version of the label that simply indicates whether the employee left or not (binominal target).