Evaluating your ensemble

In the previous exercise, you built your first voting classifier. Let's now evaluate it and compare it to that of the individual models.

The individual models (clf_knn, clf_dt, and clf_lr) and the voting classifier (clf_vote) have already been loaded and trained.

Remember to use f1_score() to evaluate the performance. In addition, you'll create a classification report on the test set (X_test, y_test) using the classification_report() function.