[{'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:cost_categories_under_deductible = ['KOSTEN_MEDISCH_SPECIALISTISCHE_ZORG', 'KOSTEN_MONDZORG', 'KOSTEN_FARMACIE', 'KOSTEN_HULPMIDDELEN', 'KOSTEN_PARAMEDISCHE_ZORG_FYSIOTHERAPIE', 'KOSTEN_PARAMEDISCHE_ZORG_OVERIG', 'KOSTEN_ZIEKENVERVOER_ZITTEND', 'KOSTEN_ZIEKENVERVOER_LIGGEND', 'KOSTEN_GRENSOVERSCHRIJDENDE_ZORG', 'KOSTEN_GERIATRISCHE_REVALIDATIEZORG', 'KOSTEN_OVERIG']\ndf_gemeente['health_expenditure_under_deductible'] = df_gemeente[cost_categories_under_deductible].sum(axis=1)\ndf_gemeente = df_gemeente.rename_axis({\n'GESLACHT':'sex',\n'LEEFTIJDSKLASSE':'age',\n'GEMEENTENAAM':'MUNICIPALITY',\n'AANTAL_BSN':'number_citizens',\n'KOSTEN_MEDISCH_SPECIALISTISCHE_ZORG':'hospital_care',\n'KOSTEN_FARMACIE':'pharmaceuticals',\n'KOSTEN_TWEEDELIJNS_GGZ':'mental_care',\n'KOSTEN_HUISARTS_INSCHRIJFTARIEF':'GP_capitation',\n'KOSTEN_HUISARTS_CONSULT':'GP_fee_for_service',\n'KOSTEN_HUISARTS_OVERIG':'GP_other',\n'KOSTEN_MONDZORG':'dental care',\n'KOSTEN_PARAMEDISCHE_ZORG_FYSIOTHERAPIE':'physiotherapy',\n'KOSTEN_KRAAMZORG':'maternity_care',\n'KOSTEN_VERLOSKUNDIGE_ZORG':'obstetrics'\n}, axis='columns')\ndf_gemeente.dtypes"}, {'role': 'assistant', 'content': 'data_preprocessing'}]