Construct A New Tree from Random Forest Result

dragonedison

Dear everyone,

My dataset has 130 features, and I use one feature a time to train a classifier with Random Forest. Some of these 130 generated classifiers give good results. However, when I use two features in Random Forest(RF) training, the performance is not that good. So I would like to use several of the 1-feature-trained RF classifier to build up a tree classifier by giving the results of the 1-feature-trained classifiers different weights. I would like to know what operators can I use in RapidMiner to implement this. Do I have to work in the code level?

Thanks!
Gary

dragonedison

Dear everyone,

I would like to make my request more obvious. Since there will be a confidence score for the Random Forest classification result. Are there any ways to combine different Random Forest classifiers' confidence scores to generate a new tree classifier?

Thanks.
Gary

land

Hi Gary,
yes you can do this using the voting operator.

Greetings,
  Sebastian