[{'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:win_len = []\nlose_len = []\nfor hand in winning_cards:\nwin_len.append(len(hand))\nfor hand in losing_cards:\nlose_len.append(len(hand))\nprint("Average number of cards in winning hands:", mean(win_len), \\\n"\\nAverage number of cards in losing hands:", mean(lose_len), \\\n"\\n\\nMedian number of cards in winning hands:", median_low(win_len), \\\n"\\nMedian number of cards in losing hands:", median_low(lose_len))\nwin_len_ctr = Counter()\nlose_len_ctr = Counter()\nfor ct in win_len:\nwin_len_ctr[ct] += 1\nfor ct in lose_len:\nlose_len_ctr[ct] += 1\nwin_labels, win_values = zip(*win_len_ctr.items())\nlose_labels, lose_values = zip(*lose_len_ctr.items())\nbar_width = 0.4\nopacity = 0.5\nwin_len_plt = plt.bar(win_labels, [value / num_win for value in win_values], bar_width, alpha=opacity, color=\'r\', \\\nlabel=\'winning hands\')\nlose_len_plt = plt.bar([label + bar_width for label in lose_labels], [value / num_lose for value in lose_values], \\\nbar_width, alpha=opacity, color=\'b\', label=\'losing hands\')\nplt.xlabel(\'number of cards in hand\')\nplt.ylabel(\'percentage of hands\')\nplt.title(\'Total number of cards in winning vs losing hands\')\nplt.legend(bbox_to_anchor=(1.05, 1), loc=2, borderaxespad=0.)\nplt.show()'}, {'role': 'assistant', 'content': "['data_exploration', 'modelling', 'result_visualization']"}]