[{'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:#     \nresult = pd.Series()\nfor i in test_stores:  \n    store = train_stores[i]\n    X_train = store.drop(["Sales", "Store", "Customers"],axis=1)\n    Y_train = store["Sales"]\n    X_test  = test_stores[i].copy()   \n    store_ind = X_test["Id"]\n    X_test.drop(["Id","Store"], axis=1,inplace=True)\n    X_train = X_train.fillna(X_train.mean())\n    X_test = X_test.fillna(X_train.mean())\n    estimator = RandomForestRegressor(n_estimators=10, max_depth=13, criterion = \'mse\')\n    estimator.fit(X_train, Y_train)\n    Y_pred = estimator.predict(X_test)\n    result = result.append(pd.Series(Y_pred, index=store_ind))\nresult = result.append(pd.Series(0, index=closed_store_data))\nresult = pd.DataFrame({ "Id": result.index, "Sales": result.values})\nresult.to_csv(\'result_new.csv\', index=False)\''}, {'role': 'assistant', 'content': "['save_results']"}]