Cannot compute the performance of a linear regression model
I'm a first time user of rapidminer and need to carry out a project of a course.
The goal is to create a linear regression model from some data, apply it to a new set of similar data and validate the model. The approach I adopted is the following:
1. Load the data
2. Select the interesting attributes (predictor variables which I believe affect the target)
3. Transform a categorical attribute into dummy variables
4 Apply the linear regression model
5. Load the new data set, apply the model and see the results
However, I get an error at the end when I try to connect the out lab port of the Apply Model block to the lab inp port of the Performance block:
"Input ExampleSet does not have a label attribute performance"
Do you have any insights on this issue that could help me?
Please find attached the .rpm process
Thanks in advance, A.