from sklearn import datasets

from sklearn.model_selection import train_test_split

from sklearn.ensemble import BaggingClassifier

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data = datasets.load_wine()

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X = data.data

y = data.target

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X_train, X_test, y_train, y_test = train_test_split(X, y, test_size = 0.25, random_state = 22)

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oob_model = BaggingClassifier(n_estimators = 12, oob_score = True,random_state = 22)

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oob_model.fit(X_train, y_train)

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print(oob_model.oob_score_)

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