[{'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:X_numeric_features = [\n'sup1',\n'sup2',\n'sup3',\n'sup4',\n'sup5',\n'disabled',\n'yearsinposition',\n'yearsinprofession',\n'age',\n'cred1',\n'cred2',\n'inst1',\n'inst2',\n'inst3',\n'inst4',\n'inst5',\n'instbudget',\n'instsize',\n'sex_by_age:__male:_',\n'sex_by_age:__male:_under_5_years_',\n'sex_by_age:__male:_5_to_9_years_',\n'sex_by_age:__male:_10_to_14_years_',\n'sex_by_age:__male:_15_to_17_years_',\n'sex_by_age:__male:_18_and_19_years_',\n'sex_by_age:__male:_20_years_',\n'sex_by_age:__male:_21_years_',\n'sex_by_age:__male:_22_to_24_years_',\n'sex_by_age:__male:_25_to_29_years_',\n'sex_by_age:__male:_30_to_34_years_',\n'sex_by_age:__male:_35_to_39_years_',\n'sex_by_age:__male:_40_to_44_years_',\n'sex_by_age:__male:_45_to_49_years_',\n'sex_by_age:__male:_50_to_54_years_',\n'sex_by_age:__male:_55_to_59_years_',\n'sex_by_age:__male:_60_and_61_years_',\n'sex_by_age:__male:_62_to_64_years_',\n'sex_by_age:__male:_65_and_66_years_',\n'sex_by_age:__male:_67_to_69_years_',\n'sex_by_age:__male:_70_to_74_years_',\n'sex_by_age:__male:_75_to_79_years_',\n'sex_by_age:__male:_80_to_84_years_',\n'sex_by_age:__male:_85_years_and_over_',\n'sex_by_age:__female:_',\n'sex_by_age:__female:_under_5_years_',\n'sex_by_age:__female:_5_to_9_years_',\n'sex_by_age:__female:_10_to_14_years_',\n'sex_by_age:__female:_15_to_17_years_',\n'sex_by_age:__female:_18_and_19_years_',\n'sex_by_age:__female:_20_years_',\n'sex_by_age:__female:_21_years_',\n'sex_by_age:__female:_22_to_24_years_',\n'sex_by_age:__female:_25_to_29_years_',\n'sex_by_age:__female:_30_to_34_years_',\n'sex_by_age:__female:_35_to_39_years_',\n'sex_by_age:__female:_40_to_44_years_',\n'sex_by_age:__female:_45_to_49_years_',\n'sex_by_age:__female:_50_to_54_years_',\n'sex_by_age:__female:_55_to_59_years_',\n'sex_by_age:__female:_60_and_61_years_',\n'sex_by_age:__female:_62_to_64_years_',\n'sex_by_age:__female:_65_and_66_years_',\n'sex_by_age:__female:_67_to_69_years_',\n'sex_by_age:__female:_70_to_74_years_',\n'sex_by_age:__female:_75_to_79_years_',\n'sex_by_age:__female:_80_to_84_years_',\n'sex_by_age:__female:_85_years_and_over_',\n'commute_over_60',\n'full_time',\n'part_time',\n'high_rent_burden',\n'extreme_rent_burden','2010 Census Population']\nX_numeric = mergedData[X_numeric_features]\nX_categorical_features = ['function', 'gender', 'race', 'highestdegree', 'category', 'insttype']\nX_categorical = mergedData[X_categorical_features]"}, {'role': 'assistant', 'content': 'data_preprocessing'}]