I am working on an ensemble learning project, and I am trying to use a voting classifier or voting regression to combine the predictions of multiple models. However, I’m having trouble finding the optimal parameters for my voting classifier and regression model.
Here is a simplified version of my code:
I would like to tune the parameters of my VotingClassifier to achieve better performance. Specifically, I am interested in tuning the hyperparameters of my individual models as well as the voting parameter. Can someone help me with this?
Thanks in advance!