Re:-turbo model and outlier removal

hello @guptasha - it is good to have you here on the community. Let me try to help you step-by-step...
So generally here on the community you want to make our lives easy to help you. Asking to google data sets is not likely to get answers from generous people.

And by the way - the wine data set is of course already built into RapidMiner. Just type the word "wine" into the global search bar:



So I'm a little confused. We have "Turbo Prep" and "Auto Model" - which one are you referring to?

It's possible for sure - especially if you have a small laptop and a large data set. Have you looked at our System Requirements for RapidMiner Studio?

So I run 150k data sets every day successfully. If your laptop is hanging, most likely your computer is either not in spec or close to it. Increasing your RAM and CPU cores can help a lot.

So this is hard to answer when you have not provided (a) your XML, and (b) your data set. Perhaps you overlooked these instructions when you posted your question?



Scott

Also, you can always try Sample as an initial workaround.  You don't really need 150k records to build a preliminary scorecard.  A 10% or 20% sample should be perfectly adequate to get you going...