[{'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:'''\nhumid + temp + month + hour + season + weather\nhumid + temp + month + hour\nhumid + temp + month\nhumid + temp\n'''\n\nfinal_df=new_df.drop(['datetime', 'holiday', 'workingday', 'atemp', 'windspeed', 'casual', 'registered'], axis=1)\n\n#final_df=new_df.drop(['datetime', 'holiday', 'workingday', 'atemp', 'windspeed', 'casual', 'registered', 'season', 'weather'], axis=1)\n\n#final_df=new_df.drop(['datetime', 'holiday', 'workingday', 'atemp', 'windspeed', 'casual', 'registered', 'season', 'weather', 'hour'], axis=1)\n\n#final_df=new_df.drop(['datetime', 'holiday', 'workingday', 'atemp', 'windspeed', 'casual', 'registered', 'season', 'weather', 'hour', 'month'], axis=1)\n\n\nfinal_df.head()\n\n\n"}, {'role': 'assistant', 'content': 'data_preprocessing'}]