[{'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:test_set['temp_weather_1'] = test_set['temp'] * test_set['weather_1']\ntest_set['temp_weather_2'] = test_set['temp'] * test_set['weather_2']\ntest_set['temp_weather_3'] = test_set['temp'] * test_set['weather_3']\ntest_set['temp_weather_4'] = test_set['temp'] * test_set['weather_4']\n\ntest_set['temp_bin'] = np.floor(test_set['temp'])//5\n\n# test_set['high_time'] = np.zeros_like(test_set['time'])\n# test_set['high_time'].loc[(((test_set['time'] > 6) & (test_set['time'] < 15)) | (test_set['time'] == 20))] = 1\n# test_set['high_time'].loc[((test_set['time'] == 8) | (test_set['time'] == 16) | (test_set['time'] == 19))] = 2\n# test_set['high_time'].loc[((test_set['time'] == 17) | (test_set['time'] == 18))] = 3"}, {'role': 'assistant', 'content': 'data_preprocessing'}]