Weka and r language ML models

classic Classic list List threaded Threaded
1 message Options
Reply | Threaded
Open this post in threaded view

Weka and r language ML models


I am using few regression based ML models in r language for hyperparameter tuning and evaluate its performance. I need to evaluate also its counterparts in weka tool. I am using neural network (nnet), cart (rpart), svm, random forest (rf) and gradient boosting method using r language. My question is which are the the alternatives of these algorithms in weka in terms of the similar parameters? I am asking this because the names of parameters in weka are different than r language, even if they are similar. 

Best regards 

Wekalist mailing list -- [hidden email]
Send posts to: To unsubscribe send an email to [hidden email]
To subscribe, unsubscribe, etc., visit
List etiquette: http://www.cs.waikato.ac.nz/~ml/weka/mailinglist_etiquette.html