[{'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:# split to cumulative and fatal features and build 2 separate models\n# split to train and validation set\ncc_input = ['cc_cases_1', 'cc_cases_2', 'cc_cases_3', 'cc_cases_4', 'cc_cases_5', 'cc_cases_6', 'cc_cases_7', 'country_encoder', 'province_encoder', 'date_int']\nft_input = ['ft_cases_1', 'ft_cases_2', 'ft_cases_3', 'ft_cases_4', 'ft_cases_5', 'ft_cases_6', 'ft_cases_7', 'country_encoder', 'province_encoder', 'date_int']\ncc_output = ['cc_cases']\nft_output = ['ft_cases']\nX_cc = X[cc_input]\nX_ft = X[ft_input]\ny_cc = y[cc_output]\ny_ft = y[ft_output]\ntrain_X_cc, val_X_cc = split_train_val(df = X_cc, val_ratio = 0.1)\ntrain_y_cc, val_y_cc = split_train_val(df = y_cc, val_ratio = 0.1)\ntrain_X_ft, val_X_ft = split_train_val(df = X_ft, val_ratio = 0.1)\ntrain_y_ft, val_y_ft = split_train_val(df = y_ft, val_ratio = 0.1)"}, {'role': 'assistant', 'content': "['data_preprocessing']"}]