[{'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:import os\nimport glob\ndf_train = pd.read_csv(\'../kaggle_data/train_users_2.csv\')\ndf_test = pd.read_csv(\'../kaggle_data/test_users.csv\')\nlabels = df_train[\'country_destination\'].values\nid_test = df_test[\'id\']\npiv_train = df_train.shape[0]\npiv_test = df_test.shape[0]\nprint("Total users in train: ",piv_train)\nprint("Total users in test: ",piv_test)\ndf_test[\'country_destination\'] = -1\ndf_all = pd.concat((df_train, df_test), axis=0, ignore_index=True)\ndf_all = df_all.fillna(-1)\ndel df_test, df_train'}, {'role': 'assistant', 'content': "['helper_functions', 'load_data', 'data_exploration']"}]