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How can you implement a machine learning model for classification or regression in Python?

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from sklearn.metrics import accuracy_score, mean_squared_error # Calculate accuracy for classificationaccuracy = accuracy_score(y_test, y_pred) # Calculate mean squared error for regressionmse = mean_squared_error(y_test, y_pred)
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