Exercise

Better performance with a Voting Classifier

Finally, you'll evaluate the performance of a voting classifier that takes the outputs of the models defined in the list classifiers and assigns labels by majority voting.

X_train, X_test,y_train, y_test, the list classifiers defined in a previous exercise, as well as the function accuracy_score from sklearn.metrics are available in your workspace.

Instructions

100 XP

Import VotingClassifier from sklearn.ensemble.
Instantiate a VotingClassifier by setting the parameter estimators to classifiers and assign it to vc.
Fit vc to the training set.
Evaluate vc's test set accuracy using the test set predictions y_pred.