Keeping attribute selection after optimal selection — Is it possible?

ar4oar4o Member Posts: 8 Contributor I
edited November 2018 in Help

Hi again!


I have 2 small questions this time. I have created a model with Optimize Selection with Cross-Validation inside and it shows good results. 


1) Does it overfitt the model? 

2) Can I and if yes then how can I apply this model to another dataset? Without optimize selection everything was clear but with it...


Working with SVM for text classification.


Thank you in advance!


  • Options
    Thomas_OttThomas_Ott RapidMiner Certified Analyst, RapidMiner Certified Expert, Member Posts: 1,761 Unicorn

    Overfit can happen, I would toggle on the "leave one out" parameter and test again.


    W.R.T to the Optimize Selection, you should be able to write out the weights to a repository and use a Select By Weights operator in your scoring process and load them back in.



Sign In or Register to comment.