[{'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:# Impute missing value in numeric columns with median \nnumeric_cols = select_test_df.select_dtypes(include=['number']).columns.values\n\nfor col in numeric_cols:\n    if col in list(col_pct_miss_df.column_name):\n        med = df[col].median()\n        select_test_df[col] = select_test_df[col].fillna(med)\n        \nnot_numeric_cols = select_test_df.select_dtypes(exclude=['number']).columns.values\n\nfor col in not_numeric_cols:\n        mode = df[col].mode()\n        select_test_df[col] = select_test_df[col].fillna(mode[0])"}, {'role': 'assistant', 'content': 'data_preprocessing'}]