[{'role': 'system', 'content': "You are an expert in machine learning and your task is to classify code snippets into one of the following categories: ['helper_functions', 'load_data', 'data_exploration', 'data_preprocessing', 'evaluation', 'modelling', 'prediction', 'result_visualization', 'save_results', 'comment_only']."}, {'role': 'user', 'content': "Identify the single most appropriate category to which the provided code belongs. Provide your response as a single category label without any additional information, commentary, or personal opinions.\\nPython Code:from sklearn import linear_model\nfrom sklearn.cross_validation import train_test_split\nrandom_state = 110\nX_train, X_test, y_train, y_test = train_test_split(attributes[:,3:], attributes[:,1], \\\ntest_size=0.2, random_state=random_state)\nregr = linear_model.LinearRegression()\nregr.fit(X_train, y_train)\nprediction = regr.predict(X_test)\nprint('Coefficients:', regr.coef_, \\\n'\\nResidual sum of squares:', np.mean((prediction - y_test) ** 2), \\\n'\\nVariance score:', regr.score(X_test, y_test))"}, {'role': 'assistant', 'content': 'modelling'}]