def bagging(self):
bag_clf = BaggingClassifier(DecisionTreeClassifier(),
n_estimators=500,
max_samples=100,
bootstrap=True,
n_jobs=1,
oob_score=True)
bag_clf.fit(self.X_train, self.y_train)
y_pred = bag_clf.predict(self.X_test)
print accuracy_score(self.y_test, y_pred)
print bag_clf.oob_decision_function_()
