[{'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:prob_confirm_check_train = train_data.ConfirmedCases.value_counts(normalize=True)\nprob_fatal_check_train = train_data.Fatalities.value_counts(normalize=True)\n\nn_confirm_train = train_data.ConfirmedCases.value_counts()[1:].sum()\nn_fatal_train = train_data.Fatalities.value_counts()[1:].sum()\n\nprint('Percentage of confirmed case records = {0:<2.0f}/{1:<2.0f} = {2:<2.1f}%'.format(n_confirm_train, n_train, prob_confirm_check_train[1:].sum()*100))\nprint('Percentage of fatality records = {0:<2.0f}/{1:<2.0f} = {2:<2.1f}%'.format(n_fatal_train, n_train, prob_fatal_check_train[1:].sum()*100))"}, {'role': 'assistant', 'content': 'data_exploration'}]