The Altair Community is migrating to a new platform to provide a better experience for you. In preparation for the migration, the Altair Community is on read-only mode from October 28 - November 6, 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
Automatic feature generation
hie.
How do you find or calculate the minimum number of iterations of N attributes exampleset using Backward Elimination.
How do you find or calculate the minimum number of iterations of N attributes exampleset using Backward Elimination.
Tagged:
0
Best Answer
-
Telcontar120 RapidMiner Certified Analyst, RapidMiner Certified Expert, Member Posts: 1,635 UnicornBackward 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.
2
Answers
i was confusing it with n+(n-1)