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random_state=42) # Creating the MultiOutput Classifier with Logistic Regression as the base estimator classifier = MultiOutputClassifier(LogisticRegression(max_iter=1000)) # Fitting the classifier on the training data classifier.fit(X_train, y_train) # Making predictions on the test set predictions