The Altair Community is migrating to a new platform to provide a better experience for you. The RapidMiner Community will merge with the Altair Community at the same time. In preparation for the migration, both communities are on read-only mode from July 15th - July 24th, 2024. Technical support via cases will continue to work as is. For any urgent requests from Students/Faculty members, please submit the form linked here.
Options

Automatic feature generation

fungayismfungayism Member Posts: 5 Contributor I
edited November 2019 in Help
hie. 
How do you find or calculate the minimum number of iterations of N attributes exampleset using Backward Elimination.

Best Answer

  • Options
    Telcontar120Telcontar120 Moderator, RapidMiner Certified Analyst, RapidMiner Certified Expert, Member Posts: 1,635 Unicorn
    Solution Accepted
    Backward elimination will run one model using all attributes and that is the "baseline" model performance.  Then in the next round, it will run a model dropping each one of the attributes individually and check the performance of each one.  At that point, if none of the reduced models are acceptable (based on whatever threshold criteria you have set in the Backward Elimination operator parameters) then it will terminate.  Thus the minimum number of iterations using Backward Elimination is (n+1) where n is the number of available attributes.

    Brian T.
    Lindon Ventures 
    Data Science Consulting from Certified RapidMiner Experts

Answers

Sign In or Register to comment.