[{'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:train_df_A = train_df[train_df['answer'] == 'A']\ntrain_df_B = train_df[train_df['answer'] == 'B']\ntrain_df_NEITHER = train_df[train_df['answer'] == 'NEITHER']\n\nX_A_A = train_df_A.rename(columns={\n    'A': 'RE',\n    'A-offset': 'RE-offset',\n    'A-offset-end': 'RE-offset-end'\n})[['Text', 'Pronoun', 'RE', 'RE-offset', 'RE-offset-end', 'URL', 'Text-length']]\n\nX_A_A['y'] = 1\nX_A_A['referred-expression'] = 'A'\n\nX_A_B = train_df_A.rename(columns={\n    'B': 'RE',\n    'B-offset': 'RE-offset',\n    'B-offset-end': 'RE-offset-end'\n})[['Text', 'Pronoun', 'RE', 'RE-offset', 'RE-offset-end', 'URL', 'Text-length', 'answer']]\n\nX_A_B['y'] = 0\nX_A_B['referred-expression'] = 'A'\n\nX_B_B = train_df_B.rename(columns={\n    'B': 'RE',\n    'B-offset': 'RE-offset',\n    'B-offset-end': 'RE-offset-end'\n})[['Text', 'Pronoun', 'RE', 'RE-offset', 'RE-offset-end', 'URL', 'Text-length', 'answer']]\n\nX_B_B['y'] = 1\nX_B_B['referred-expression'] = 'B'\n\nX_B_A = train_df_B.rename(columns={\n    'A': 'RE',\n    'A-offset': 'RE-offset',\n    'A-offset-end': 'RE-offset-end'\n})[['Text', 'Pronoun', 'RE', 'RE-offset', 'RE-offset-end', 'URL', 'Text-length', 'answer']]\n\nX_B_A['y'] = 0\nX_B_A['referred-expression'] = 'B'\n\nX_NEITHER_A = train_df_NEITHER.rename(columns={\n    'A': 'RE',\n    'A-offset': 'RE-offset',\n    'A-offset-end': 'RE-offset-end'\n})[['Text', 'Pronoun', 'RE', 'RE-offset', 'RE-offset-end', 'URL', 'Text-length', 'answer']]\n\nX_NEITHER_A['y'] = 0\nX_NEITHER_A['referred-expression'] = 'A'\n\nX_NEITHER_B = train_df_NEITHER.rename(columns={\n    'B': 'RE',\n    'B-offset': 'RE-offset',\n    'B-offset-end': 'RE-offset-end'\n})[['Text', 'Pronoun', 'RE', 'RE-offset', 'RE-offset-end', 'URL', 'Text-length', 'answer']]\n\nX_NEITHER_B['y'] = 0\nX_NEITHER_B['referred-expression'] = 'B'\n\n\nX_df = pd.concat((X_A_A, X_A_B, X_B_A, X_B_B, X_NEITHER_A, X_NEITHER_B))"}, {'role': 'assistant', 'content': "['data_preprocessing']"}]