from sklearn.datasets import load_iris
from sklearn.model_selection import train_test_split
from sklearn.ensemble import BaggingClassifier
from sklearn.tree import DecisionTreeClassifier
from sklearn.metrics import accuracy_score
# Load dataset
data = load_iris()
X = data.data
y = data.target
# Split into train and test
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.3, random_state=42)
# Base model
base_model = DecisionTreeClassifier()
# Bagging classifier
bagging_model = BaggingClassifier(base_estimator=base_model, n_estimators=10, random_state=42)
# Train model
bagging_model.fit(X_train, y_train)
# Predict
y_pred = bagging_model.predict(X_test)
# Accuracy
accuracy = accuracy_score(y_test, y_pred)
print("Bagging Classifier Accuracy:", accuracy)
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