[{'role': 'system', 'content': "You are an expert in machine learning and your task is to classify the code snippets into categories from the provided list of categories. List of categories: ['helper_functions', 'load_data', 'data_exploration', 'data_preprocessing', 'evaluation', 'modelling', 'prediction', 'result_visualization', 'save_results', 'comment_only']"}, {'role': 'user', 'content': "Identify to which category the provided code belongs and assign the code snippet to at least 1 but up to 5 categories based on the probabilities, ignore if the probability of the category is negligible. Strictly provide your response as a list. Avoid providing any additional information, commentary, or personal opinions.\\nPython Code:sub = pd.read_csv('/kaggle/input/covid19-global-forecasting-week-2/submission.csv')\ntest_regions = test_df.Region.unique()\ntotal_count = 0\n\nfor region in test_regions:\n    forecastIds = test_data[region]['ForecastId']\n    x_test_data = test_data[region]['DayNo']\n    y_conf_test_data = np.nan_to_num(sigmoid(x_test_data, *confirmed_popt[region])).astype(np.int) \n    x_test_data = test_data[region]['DayNo']\n    y_fatal_test_data = np.nan_to_num(sigmoid(x_test_data, *fatalities_popt[region])).astype(np.int) \n    idx = 0\n    x_test_data = x_test_data.tolist()\n    for id in forecastIds:\n        day_no = x_test_data[idx]\n        row_index = sub.index[sub['ForecastId'] == id]\n        if day_no > train_max_day:\n            sub.set_value(row_index, 'ConfirmedCases', y_conf_test_data[idx])\n            sub.set_value(row_index, 'Fatalities', y_fatal_test_data[idx])\n        else:\n            sub.set_value(row_index, 'ConfirmedCases', int(train_data[region][train_data[region]['DayNo']==day_no]['ConfirmedCases'].tolist()[0]))\n            sub.set_value(row_index, 'Fatalities', int(train_data[region][train_data[region]['DayNo']==day_no]['Fatalities'].tolist()[0])) \n        idx = idx + 1\n\nsub.to_csv('/kaggle/working/submission.csv', index=False) "}, {'role': 'assistant', 'content': "['data_preprocessing']"}]