Hello RM Community,
I've been lurking around the forums for quite some time now and I am still learning this new tool. I just wanted to ask if it is possible to run two classification models (e.g. k-nn and decision tree) in one process? If yes, then is it possible to get separate performance results for each?
Sorry if it's a newbie question.
Thanks in advance!
Rem
Absolutely, you can run them both in parallel by using a Mulitply Data operator and simply having two streams in your process using the same data inputs. You can then compare the output. This is very commonly done in RapidMiner.
You can also combine multiple models together using ensemble solutions like Vote, which allows you to combine the predictions from multiple models.