[{'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:print("Great! Now we have looked at the 1% empirical quantile of the final price distribution to estimate \\nthe Value at Risk for the Google stock, which looks to be {0} for every investment of {1} \\n(the price of one inital google stock).".format(round(start_price - q,2), round(start_price,2)))\nprint("This basically menas for every initial stock you purchase your putting about {0} at risk 99% \\nof the time from our Monte Carlo Simulation.".format(round(start_price - q,2)))'}, {'role': 'assistant', 'content': "['data_exploration']"}]