[{'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:# create the prediction dataframe\npred_df = pd.DataFrame(np.concatenate(pout))\npred_df.columns = ['ConfirmedCases_scaled','Fatalities_scaled']\npred_df['Date'] = np.repeat(test_data['Date'].unique(),294)\npred_df['Province_State'] = list(test_data.drop_duplicates(subset=['Province_State','Country_Region'])['Province_State'])*43\npred_df['Country_Region'] = list(test_data.drop_duplicates(subset=['Province_State','Country_Region'])['Country_Region'])*43\n\npred_df = pred_df.sort_values(by=['Country_Region','Date']).reset_index(drop=True)"}, {'role': 'assistant', 'content': "['data_preprocessing']"}]