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.
Optimization Grid with Random Forest - Not Working.
RapidMiner Unicorns 🦄,
I trying to run a optimization grid with our my Random Forest model and I am getting an error. It's stating that gain_ratio criterion cannot be used for numeric labels (see pictures below). I checked all my parameters and I am not using gain_ratio in the optimization grid (see pictures below). So, specifically how you used a optimization grid with cross validation, and random forest predicting a real number in RapidMiner?
Can you send an basic working example of this workflow process with with good documented comments explaining each step.
I trying to run a optimization grid with our my Random Forest model and I am getting an error. It's stating that gain_ratio criterion cannot be used for numeric labels (see pictures below). I checked all my parameters and I am not using gain_ratio in the optimization grid (see pictures below). So, specifically how you used a optimization grid with cross validation, and random forest predicting a real number in RapidMiner?
Can you send an basic working example of this workflow process with with good documented comments explaining each step.
Tagged:
0
Answers
Dortmund, Germany
Dortmund, Germany
Specifically what configuration/setup tasks are needed to make the grid optimization operator work and simply find the optimal parameters for Random Forest model? Do you have a sample workflow of how this can work?
Specifically what configuration/setup tasks are needed to make the grid optimization operator work and simply find the optimal parameters for Random Forest model? Do you have a sample workflow of how this can work?
Just select correct and applicable settings for the optimization. Leave the criterion alone (it has to be least_square for numerical prediction) and optimize parameters like the number of trees and the maximum depth.
Regards,
Balázs