How to implement voting ensemble in Python?

How to implement voting ensemble in Python?

How to implement voting ensemble in Python?

This recipe helps you implement voting ensemble in Python

In [1]:
## How to implement voting ensemble in Python
## DataSet: skleran.datasets.load_breast_cancer()
def Snippet_184():
    print(format('How to implement voting ensemble in Python','*^82'))
    import warnings
    # load libraries
    from sklearn import model_selection
    from sklearn.linear_model import LogisticRegression
    from sklearn.tree import DecisionTreeClassifier
    from sklearn.svm import SVC
    from sklearn.ensemble import VotingClassifier
    from sklearn import datasets
    from sklearn.model_selection import train_test_split
    import matplotlib.pyplot as plt'ggplot')

    # load datasets
    seed = 42
    dataset = datasets.load_breast_cancer()
    X =; y =
    X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.25)
    kfold = model_selection.KFold(n_splits=10, random_state=seed)

    # create different models
    estimators = []
    model1 = LogisticRegression(); estimators.append(('logistic', model1))
    model2 = DecisionTreeClassifier(); estimators.append(('cart', model2))
    model3 = SVC(); estimators.append(('svm', model3))

    # create the ensemble model
    ensemble = VotingClassifier(estimators)
    results = model_selection.cross_val_score(ensemble, X_train, y_train, cv=kfold)
    print(); print(results.mean())

********************How to implement voting ensemble in Python********************


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