[{'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:val_score = []\nfor country in df_val['Country_Region'].unique():\n    df_val_country = df_val[(df_val['Country_Region'] == country) & (df_val['Fatalities'].isnull() == False)]\n    val_score.append([country, RMSLE(df_val_country['ConfirmedCases'].values,df_val_country['ConfirmedCases_hat'].values),RMSLE(df_val_country['Fatalities'].values,df_val_country['Fatalities_hat'].values)])\n    \ndf_val_score = pd.DataFrame(val_score) \ndf_val_score.columns = ['Country','ConfirmedCases_Scored','Fatalities_Scored']\ndf_val_score.sort_values('ConfirmedCases_Scored', ascending = False)"}, {'role': 'assistant', 'content': "['evaluation', 'prediction']"}]