Voting Classifier in Python

votingclassifier1.py

#load packages
from sklearn.ensemble import VotingClassifier
from sklearn.model_selection import cross_val_score, GridSearchCV

#fit a base model
vc = VotingClassifier([('dt', DecisionTree), 
                       ('KNN', KNN), 
                       ('MLPC', MLPC), 
                       ('rf', RandomForest), 
                       ('xgb', XGB)])
cvm = cross_val_score(vc, X, y)
base_score = cvm.mean()
base_std = cvm.std()
print('\n')
print(f'The average base cross-validation score is {round(base_score,4)} (+- {round(base_std,4)})')