Compare multiple ML Models
I have trained a few simple binary classification models. I see that I can use the Scorer node to generate tabular results of the output.
My question: Is there a node that we can use to compare multiple models at the same time? This would be the fit level statistics like accuracy, precision, recall across a variety of models.
For sake of comparison, Orange has a Test and Score node that provides a simple interface to compare multiple models. Link and Screenshot below to provide context for my question.
