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I want to have root mean squared of gradient boosting algorithm but when I want to print it, I receive an attribute error my_best_model.np.sqrt(metrics.mean_squared_error(X_test_new, y_test_new)) output: AttributeError Traceback (most recent call last) in ----> 1 my_best_model.np.sqrt(metrics.mean_squared_error(X_test_new, y_test_new)) AttributeError: 'GradientBoostingRegressor' object has no attribute 'np' JavaScript questions and answers, JavaScript questions pdf, JavaScript question bank, JavaScript questions and answers pdf, mcq on JavaScript pdf, JavaScript questions and solutions, JavaScript mcq Test , Interview JavaScript questions, JavaScript Questions for Interview, JavaScript MCQ (Multiple Choice Questions)

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This is not the correct usage; assuming that my_best_model is a fitted GradientBoostingRegressor, you should use: from sklearn.metrics import mean_squared_error mse = mean_squared_error(y_test_new, my_best_model.predict(X_test_new)) rmse = np.sqrt(mse)

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