07-ens-bag.py

from sklearn.ensemble import BaggingClassifier
from sklearn.tree import DecisionTreeClassifier
from sklearn.datasets import load_breast_cancer
from sklearn.model_selection import train_test_split
from sklearn.metrics import accuracy_score

data = load_breast_cancer()
X, y = data.data, data.target

X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)

base_classifier = DecisionTreeClassifier()

bagging_classifier = BaggingClassifier(estimator=base_classifier, n_estimators=10)

bagging_classifier.fit(X_train, y_train)

y_pred = bagging_classifier.predict(X_test)

accuracy = accuracy_score(y_test, y_pred)
print("Accuracy:", accuracy)