What is the difference between the R-squared statistic given by the Linear Regression learner, and the one from the numeric scorer node? They don't seem to agree...
here's what I've done: I have a dataset with 3 variables and one target, all numeric. I run it through a Linear Regression Learner node, with a predefined offset of 0.
The Result View shows a R squared of 0.7094
I use the generated model with the Regression predictor node on the same data, and run the output through the numeric scorer node.
The statistics view shows a R squared of 0.6201
How is this possible? (and more importantly, which one is correct!!??)
Tim