The RapidMiner community is on read-only mode until further notice. Technical support via cases will continue to work as is. For any urgent licensing related requests from Students/Faculty members, please use the Altair academic forum here.
"Transformed Regression, Confusing Results"
![suleymansahal](https://us.v-cdn.net/6030995/uploads/defaultavatar/nCCNNSPK1YM69.jpg)
![](https://s3.amazonaws.com/rapidminer.community/vanilla-rank-images/contributor-16x16.png )
Can somebody please explain how this operator works? Results seem confusing. After training a linear regression model inside this ensemble operator I applied the model. The resultant metadata contains an attribute named "prediction(transformation(label))", but when I try to use this attribute in "generate attribute" operator, It could not locate it. When I use prediction(label) instead, it is hard to explain but results seem unstable. Sometimes "generate attribute" uses just label attribute instead of prediction(label). Also, predictions take either 0 or 1 while the model is a linear regression.
An example is attached.
Tagged:
0