[{'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:#performing same on test\n#performing same on test\ndf_test["dteday"] = df_test.datetime.apply(lambda x : x.split()[0])\ndf_test["yr"] = df_test.datetime.apply(lambda x : x.split()[0][:4])\ndf_test[\'yr\'] = df_test.yr.map({\'2011\': 0, \'2012\':1})\ndf_test["hr"] = df_test.datetime.apply(lambda x : x.split()[1].split(":")[0])\ndf_test["weekday"] = df_test.dteday.apply(lambda dateString : calendar.day_name[datetime.strptime(dateString,"%Y-%m-%d").weekday()])\ndf_test.weekday = df_test.weekday.map({\'Saturday\':6, \'Sunday\':0, \'Monday\':1, \'Tuesday\':2, \'Wednesday\':3, \'Thursday\':4, \'Friday\':5})\ndf_test["mnth"] = df_test.dteday.apply(lambda dateString : calendar.month_name[datetime.strptime(dateString,"%Y-%m-%d").month])\ndf_test.mnth = df_test.mnth.map({\'January\':0, \'February\':1, \'March\':2, \'April\':3, \'May\':4, \'June\':5, \'July\':6,\n       \'August\':7, \'September\':8, \'October\':9, \'November\':10, \'December\':11})\ndf_test["weathersit"] = df_test.weather\ndf_test[\'dteday\'] = pd.to_datetime(df_test[\'dteday\'])\ndel df_test[\'weather\']\''}, {'role': 'assistant', 'content': 'data_preprocessing'}]