[{'role': 'system', 'content': "You are an expert in machine learning and your task is to classify the code snippets into categories from the provided list of categories. List of categories: ['helper_functions', 'load_data', 'data_exploration', 'data_preprocessing', 'evaluation', 'modelling', 'prediction', 'result_visualization', 'save_results', 'comment_only']"}, {'role': 'user', 'content': 'Identify to which category the provided code belongs and assign the code snippet to at least 1 but up to 5 categories based on the probabilities, ignore if the probability of the category is negligible. Strictly provide your response as a list. Avoid providing any additional information, commentary, or personal opinions.\\nPython Code:#classifier \ncv_results = []\nfor classifier in classifiers :\n    cv_results.append(cross_val_score(classifier, X_train, y_train, scoring=\'neg_mean_squared_error\', cv =10, n_jobs=4))\n\n#classifier    \ncv_means = []\ncv_std = []\nfor cv_result in cv_results:\n    cv_means.append(cv_result.mean())\n    cv_std.append(cv_result.std())\n\ncv_res = pd.DataFrame({"CrossValMeans":cv_means,"CrossValerrors": cv_std,"Algorithm":["Lasso","LinearRegression","Ridge",\n"ElasticNet","KNeighborsRegressor","SVR","RandomForestRegressor","GradientBoostingRegressor","AdaBoostRegressor","DecisionTreeRegressor", "XGBRegressor"]})\''}, {'role': 'assistant', 'content': "['modelling']"}]