I split my dataset into train and test data. Then I trained logistic regression, SVM, and random forest models using pipelines with cross-validation and train data.

I saved best-performing models with tuned parameters via best_estimator_

And now I want to make a voting ensemble with these models to predict using test data.

The questions are:

  • Can pre-trained models be used in ensembles this way?
  • On which data I should train the ensemble?


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