Due to recent updates, all users are required to create an Altair One account to login to the RapidMiner community. Click the Register button to create your account using the same email that you have previously used to login to the RapidMiner community. This will ensure that any previously created content will be synced to your Altair One account. Once you login, you will be asked to provide a username that identifies you to other Community users. Email us at Community with questions.
"Transformed Regression, Confusing Results"
suleymansahal
Member Posts: 27 Contributor II
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