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
classification
Contributor I
Hi, I’m student of master degree .for my final project I want to work on datas that I collect from an insurance company.my project is based on datamining by rapidminer.in classification model.
I want combine different operators like weka tree and dission tree for analyze.but I don’t know other operator s please introduce other operators that work like discussion tree for analyzing .
Thanks a lot
I want combine different operators like weka tree and dission tree for analyze.but I don’t know other operator s please introduce other operators that work like discussion tree for analyzing .
Thanks a lot
0
Answers
you could have a look at the random forest for example, which is a tree-based ensemble method, boosted decision trees or decision stumps are another option (for the boosting part, have a look at adaboost).
Best regards,
Marius