Using scikit-learn

The scikit-learn library includes many ensemble learning algorithms, including voting. In order to implement hard voting, we will follow the same procedure as we did previously, except this time, we will not implement the individual fitting, predicting, and voting ourselves. Instead, we will use the provided implementation, which enables quick and easy training and testing.

Hard voting implementation

Similarly to our custom implementation, we import the required libraries, split our train and test data, and instantiate our base learners. Furthermore, we import scikit-learn's VotingClassifier voting implementation from the sklearn.ensemble package, as follows:

# --- SECTION 1 ---
# Import the required...