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.

"randomForest - weka parameters I and K"

gutompfgutompf Member Posts: 21 Contributor II
edited June 2019 in Help
I have data set with 60 attributes, approximately 2000 rows. I want to perform classification by weka-randomForest (in RapidMiner). I would be very happy if somebody who has some experiences with this learner will give me advice to which value I should set parameters I (number of trees) and K (number of variables in each tree). I want to do some optimization of parameters, but I really do not know where approximately to start...
Thanks,
Milan
Tagged:
Sign In or Register to comment.