Due to recent updates, all users are required to create an Altair One account to login to the RapidMiner community. Click the Register button to create your account using the same email that you have previously used to login to the RapidMiner community. This will ensure that any previously created content will be synced to your Altair One account. Once you login, you will be asked to provide a username that identifies you to other Community users. Email us at Community with questions.

Optimize Selection before naive bayes modelling

noritanorita Member Posts: 29 Learner III
Heello

In the tutorial process the operator optimize selection contains svm (support vector machine). I was wondering if I can use it alike for feature selection. I will use afterwards naive bayes. Should I have any concerns that this different model methods doesn't fit together?

Best

Nora

Best Answer

  • earmijoearmijo Member Posts: 271 Unicorn
    Solution Accepted
    Hi Norita: Yes, you could use other algorithms. However, the selection of the optimal set of variable may not be the same. There are two ways of doing variable selection: wrappers and filters. Filters give you the same answer for all algorithms. You select the variable before you choose the algorithm. With Wrappers (and Optimize Selection is the operator to use in RM) the selection is dependent on the algorithm you choose. 
Sign In or Register to comment.